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99
ATCC dld 1 cell viability assay compound cytotoxicity
Dld 1 Cell Viability Assay Compound Cytotoxicity, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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TargetMol ferrostatin 1
PRDX4 is an important regulator of ferroptosis in ESCC cells. (A) Determination of MDA, LPO and GSH contents in KYSE270 cells after transfection with PRDX4 siRNA. (B) Western blot analysis of the protein levels of GPX4, SLC7A11 and PTGS2 in KYSE270 cells transfected with PRDX4 siRNA. (C) The relative protein levels of GPX4, SLC7A11 and PTGS2 in KYSE270 cells transfected with PRDX4 siRNA. (D) Determination of MDA, LPO and GSH contents in KYSE30 cells after transfection with pcDNA3.1-PRDX4. (E) Western blot analysis of the protein levels of GPX4, SLC7A11 and PTGS2 in KYSE30 cells transfected with pcDNA3.1-PRDX4. (F) The relative protein levels of GPX4, SLC7A11 and PTGS2 in KYSE30 cells transfected with pcDNA3.1-PRDX4. (G) Detection of the levels of MDA, LPO and GSH in the control group, PRDX4 siRNA group and PRDX4 siRNA plus Fer-1 group in KYSE270 cells. (H) Western blot analysis of the protein expression levels of GPX4, SLC7A11 and PTGS2 in the control group, PRDX4 siRNA group and PRDX4 siRNA plus Fer-1 group in KYSE270 cells. (I) The relative protein levels of GPX4, SLC7A11 and PTGS2 in the control group, PRDX4 siRNA group and PRDX4 siRNA plus Fer-1 group in KYSE270 cells. (J) Detection of the levels of MDA, LPO and GSH in the pcDNA3.1 group, pcDNA3.1-PRDX4 group and pcDNA3.1-PRDX4 plus erastin group in KYSE30 cells. (K) Western blot analysis of the protein expression levels of GPX4, SLC7A11 and PTGS2 in the pcDNA3.1 group, pcDNA3.1-PRDX4 group and pcDNA3.1-PRDX4 plus erastin group in KYSE30 cells. (L) The relative protein levels of GPX4, SLC7A11 and PTGS2 in the pcDNA3.1 group, pcDNA3.1-PRDX4 group and pcDNA3.1-PRDX4 plus erastin group in KYSE30 cells. ** P<0.01, *** P<0.001 and **** P<0.0001, indicate statistical significance. PRDX4, peroxiredoxin 4; ESCC, esophageal squamous cell carcinoma; siRNA, small interfering RNA; MDA, malondialdehyde; LPO, lipid peroxidation; GSH, glutathione; GPX4, glutathione peroxidase 4; SLC7A11, solute carrier family 7 member 11; PTGS2, prostaglandin-endoperoxide synthase 2; Fer-1, <t>ferrostatin-1;</t> ns, not significant.
Ferrostatin 1, supplied by TargetMol, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Pfizer Inc compound r 3 amino 1 hydroxy 3 4 dihydroquinolin 2 1h one pf 04859989
(A) Schematic representation of major tryptophan (Trp)-derived metabolic pathways, including the kynurenine pathway (center), the indole-3-pyruvic acid (IPA)–indole-3-acetic acid (IAA) pathway, and the tryptamine– serotonin–melatonin branch (top). Solid, dashed, and double boxes indicate metabolites reported in animals, plants, or both, respectively. Enzymes are indicated at each step: IDO1/IDO2 (indoleamine 2,3-dioxygenase), TDO (tryptophan 2,3-dioxygenase), AFMID (arylformamidase), KAT (kynurenine aminotransferase), TDC (tryptophan decarboxylase), TAA1/TAR (tryptophan aminotransferase), KYNU (kynureninase), KMO (kynurenine 3-monooxygenase), HAAO (3-hydroxyanthranilate 3,4-dioxygenase), ACMSD (α-amino-β-carboxymuconate-ε-semialdehyde decarboxylase), and QPRT (quinolinate phosphoribosyltransferase). Inhibitor targets are indicated at the corresponding steps: JM6 and RO 61-8048 inhibit KMO, <t>and</t> <t>PF-04859989</t> inhibits KAT. (B) Chemical structures of the kynurenine pathway metabolites quantified in this study: kynurenine, kynurenic acid (KYNA), and 3-hydroxyanthranilic acid (3-HAA). (C) Chemical structures of the inhibitors used in this study. Core structural differences between JM6 and RO 61-8048 are highlighted in red.
Compound R 3 Amino 1 Hydroxy 3 4 Dihydroquinolin 2 1h One Pf 04859989, supplied by Pfizer Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cambridge Crystallographic single crystal x ray diffraction data collection of compound fr 1
Transcriptome screening platform DRUG-seq2 identified chemical compounds for reversing skin fibrosis (A) Schematic of the drug screening process: fibroblasts isolated from pathological scar tissue of patients underwent chemical library treatment, followed by DRUG-seq2 transcriptional profiling. Bioinformatics-driven prioritization yielded lead compounds, with phenotype-reversing hits undergoing further functional validation. (B) Uniform manifold approximation and projection (UMAP) of DRUG-seq2 data from keloid fibroblasts treated with different compounds. (C) Circular heatmap depicting ssGSEA enrichment scores for compound-mediated modulation of fibrosis-associated gene signatures. (D) Bright-field microscopy of keloid fibroblasts treated with DMSO or Rottlerin (0.33, 1, and 3 μM; scale bars, 100 μm), with quantification of cell count. Relative mRNA expression of profibrotic markers ( COL1A1, COL3A1, ACTA2, CTGF ) and the cell proliferation marker MKI67 was determined by RT-qPCR ( n = 3). (E) Western blot analysis of COL1A1 and MMP1 protein expression in keloid fibroblasts exposed to graded concentrations of Rottlerin (0.33, 1, and 3 μM) ( n = 2). (F) RT-qPCR analysis of COL1A1, COL3A1 , and CTGF in keloid fibroblasts from six patients after treatment with Rottlerin at 3 μM ( n = 6). (G) SAR-guided structural optimization of Rottlerin yielding <t>derivatives</t> <t>FR-1</t> to FR-12. (H) Screening of fibrosis-reversal efficacy among twelve distinct modified compounds (FR-1 to FR-12) at a uniform concentration of 2 μM via RT-qPCR quantification of COL1A1, COL3A1, and ACTA2 ( n = 3). Data are mean ± SD; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO by one-way ANOVA.
Single Crystal X Ray Diffraction Data Collection Of Compound Fr 1, supplied by Cambridge Crystallographic, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Tokyo Chemical Industry compound 1 3
Transcriptome screening platform DRUG-seq2 identified chemical compounds for reversing skin fibrosis (A) Schematic of the drug screening process: fibroblasts isolated from pathological scar tissue of patients underwent chemical library treatment, followed by DRUG-seq2 transcriptional profiling. Bioinformatics-driven prioritization yielded lead compounds, with phenotype-reversing hits undergoing further functional validation. (B) Uniform manifold approximation and projection (UMAP) of DRUG-seq2 data from keloid fibroblasts treated with different compounds. (C) Circular heatmap depicting ssGSEA enrichment scores for compound-mediated modulation of fibrosis-associated gene signatures. (D) Bright-field microscopy of keloid fibroblasts treated with DMSO or Rottlerin (0.33, 1, and 3 μM; scale bars, 100 μm), with quantification of cell count. Relative mRNA expression of profibrotic markers ( COL1A1, COL3A1, ACTA2, CTGF ) and the cell proliferation marker MKI67 was determined by RT-qPCR ( n = 3). (E) Western blot analysis of COL1A1 and MMP1 protein expression in keloid fibroblasts exposed to graded concentrations of Rottlerin (0.33, 1, and 3 μM) ( n = 2). (F) RT-qPCR analysis of COL1A1, COL3A1 , and CTGF in keloid fibroblasts from six patients after treatment with Rottlerin at 3 μM ( n = 6). (G) SAR-guided structural optimization of Rottlerin yielding <t>derivatives</t> <t>FR-1</t> to FR-12. (H) Screening of fibrosis-reversal efficacy among twelve distinct modified compounds (FR-1 to FR-12) at a uniform concentration of 2 μM via RT-qPCR quantification of COL1A1, COL3A1, and ACTA2 ( n = 3). Data are mean ± SD; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO by one-way ANOVA.
Compound 1 3, supplied by Tokyo Chemical Industry, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Tokyo Chemical Industry compound 1 1
Transcriptome screening platform DRUG-seq2 identified chemical compounds for reversing skin fibrosis (A) Schematic of the drug screening process: fibroblasts isolated from pathological scar tissue of patients underwent chemical library treatment, followed by DRUG-seq2 transcriptional profiling. Bioinformatics-driven prioritization yielded lead compounds, with phenotype-reversing hits undergoing further functional validation. (B) Uniform manifold approximation and projection (UMAP) of DRUG-seq2 data from keloid fibroblasts treated with different compounds. (C) Circular heatmap depicting ssGSEA enrichment scores for compound-mediated modulation of fibrosis-associated gene signatures. (D) Bright-field microscopy of keloid fibroblasts treated with DMSO or Rottlerin (0.33, 1, and 3 μM; scale bars, 100 μm), with quantification of cell count. Relative mRNA expression of profibrotic markers ( COL1A1, COL3A1, ACTA2, CTGF ) and the cell proliferation marker MKI67 was determined by RT-qPCR ( n = 3). (E) Western blot analysis of COL1A1 and MMP1 protein expression in keloid fibroblasts exposed to graded concentrations of Rottlerin (0.33, 1, and 3 μM) ( n = 2). (F) RT-qPCR analysis of COL1A1, COL3A1 , and CTGF in keloid fibroblasts from six patients after treatment with Rottlerin at 3 μM ( n = 6). (G) SAR-guided structural optimization of Rottlerin yielding <t>derivatives</t> <t>FR-1</t> to FR-12. (H) Screening of fibrosis-reversal efficacy among twelve distinct modified compounds (FR-1 to FR-12) at a uniform concentration of 2 μM via RT-qPCR quantification of COL1A1, COL3A1, and ACTA2 ( n = 3). Data are mean ± SD; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO by one-way ANOVA.
Compound 1 1, supplied by Tokyo Chemical Industry, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Tokyo Chemical Industry compound 1 2
Transcriptome screening platform DRUG-seq2 identified chemical compounds for reversing skin fibrosis (A) Schematic of the drug screening process: fibroblasts isolated from pathological scar tissue of patients underwent chemical library treatment, followed by DRUG-seq2 transcriptional profiling. Bioinformatics-driven prioritization yielded lead compounds, with phenotype-reversing hits undergoing further functional validation. (B) Uniform manifold approximation and projection (UMAP) of DRUG-seq2 data from keloid fibroblasts treated with different compounds. (C) Circular heatmap depicting ssGSEA enrichment scores for compound-mediated modulation of fibrosis-associated gene signatures. (D) Bright-field microscopy of keloid fibroblasts treated with DMSO or Rottlerin (0.33, 1, and 3 μM; scale bars, 100 μm), with quantification of cell count. Relative mRNA expression of profibrotic markers ( COL1A1, COL3A1, ACTA2, CTGF ) and the cell proliferation marker MKI67 was determined by RT-qPCR ( n = 3). (E) Western blot analysis of COL1A1 and MMP1 protein expression in keloid fibroblasts exposed to graded concentrations of Rottlerin (0.33, 1, and 3 μM) ( n = 2). (F) RT-qPCR analysis of COL1A1, COL3A1 , and CTGF in keloid fibroblasts from six patients after treatment with Rottlerin at 3 μM ( n = 6). (G) SAR-guided structural optimization of Rottlerin yielding <t>derivatives</t> <t>FR-1</t> to FR-12. (H) Screening of fibrosis-reversal efficacy among twelve distinct modified compounds (FR-1 to FR-12) at a uniform concentration of 2 μM via RT-qPCR quantification of COL1A1, COL3A1, and ACTA2 ( n = 3). Data are mean ± SD; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO by one-way ANOVA.
Compound 1 2, supplied by Tokyo Chemical Industry, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Conflex Corporation compounds 1 12
Transcriptome screening platform DRUG-seq2 identified chemical compounds for reversing skin fibrosis (A) Schematic of the drug screening process: fibroblasts isolated from pathological scar tissue of patients underwent chemical library treatment, followed by DRUG-seq2 transcriptional profiling. Bioinformatics-driven prioritization yielded lead compounds, with phenotype-reversing hits undergoing further functional validation. (B) Uniform manifold approximation and projection (UMAP) of DRUG-seq2 data from keloid fibroblasts treated with different compounds. (C) Circular heatmap depicting ssGSEA enrichment scores for compound-mediated modulation of fibrosis-associated gene signatures. (D) Bright-field microscopy of keloid fibroblasts treated with DMSO or Rottlerin (0.33, 1, and 3 μM; scale bars, 100 μm), with quantification of cell count. Relative mRNA expression of profibrotic markers ( COL1A1, COL3A1, ACTA2, CTGF ) and the cell proliferation marker MKI67 was determined by RT-qPCR ( n = 3). (E) Western blot analysis of COL1A1 and MMP1 protein expression in keloid fibroblasts exposed to graded concentrations of Rottlerin (0.33, 1, and 3 μM) ( n = 2). (F) RT-qPCR analysis of COL1A1, COL3A1 , and CTGF in keloid fibroblasts from six patients after treatment with Rottlerin at 3 μM ( n = 6). (G) SAR-guided structural optimization of Rottlerin yielding <t>derivatives</t> <t>FR-1</t> to FR-12. (H) Screening of fibrosis-reversal efficacy among twelve distinct modified compounds (FR-1 to FR-12) at a uniform concentration of 2 μM via RT-qPCR quantification of COL1A1, COL3A1, and ACTA2 ( n = 3). Data are mean ± SD; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO by one-way ANOVA.
Compounds 1 12, supplied by Conflex Corporation, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Sakura Finetek oct 1 compound
Transcriptome screening platform DRUG-seq2 identified chemical compounds for reversing skin fibrosis (A) Schematic of the drug screening process: fibroblasts isolated from pathological scar tissue of patients underwent chemical library treatment, followed by DRUG-seq2 transcriptional profiling. Bioinformatics-driven prioritization yielded lead compounds, with phenotype-reversing hits undergoing further functional validation. (B) Uniform manifold approximation and projection (UMAP) of DRUG-seq2 data from keloid fibroblasts treated with different compounds. (C) Circular heatmap depicting ssGSEA enrichment scores for compound-mediated modulation of fibrosis-associated gene signatures. (D) Bright-field microscopy of keloid fibroblasts treated with DMSO or Rottlerin (0.33, 1, and 3 μM; scale bars, 100 μm), with quantification of cell count. Relative mRNA expression of profibrotic markers ( COL1A1, COL3A1, ACTA2, CTGF ) and the cell proliferation marker MKI67 was determined by RT-qPCR ( n = 3). (E) Western blot analysis of COL1A1 and MMP1 protein expression in keloid fibroblasts exposed to graded concentrations of Rottlerin (0.33, 1, and 3 μM) ( n = 2). (F) RT-qPCR analysis of COL1A1, COL3A1 , and CTGF in keloid fibroblasts from six patients after treatment with Rottlerin at 3 μM ( n = 6). (G) SAR-guided structural optimization of Rottlerin yielding <t>derivatives</t> <t>FR-1</t> to FR-12. (H) Screening of fibrosis-reversal efficacy among twelve distinct modified compounds (FR-1 to FR-12) at a uniform concentration of 2 μM via RT-qPCR quantification of COL1A1, COL3A1, and ACTA2 ( n = 3). Data are mean ± SD; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO by one-way ANOVA.
Oct 1 Compound, supplied by Sakura Finetek, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Procell Inc compound 1
Transcriptome screening platform DRUG-seq2 identified chemical compounds for reversing skin fibrosis (A) Schematic of the drug screening process: fibroblasts isolated from pathological scar tissue of patients underwent chemical library treatment, followed by DRUG-seq2 transcriptional profiling. Bioinformatics-driven prioritization yielded lead compounds, with phenotype-reversing hits undergoing further functional validation. (B) Uniform manifold approximation and projection (UMAP) of DRUG-seq2 data from keloid fibroblasts treated with different compounds. (C) Circular heatmap depicting ssGSEA enrichment scores for compound-mediated modulation of fibrosis-associated gene signatures. (D) Bright-field microscopy of keloid fibroblasts treated with DMSO or Rottlerin (0.33, 1, and 3 μM; scale bars, 100 μm), with quantification of cell count. Relative mRNA expression of profibrotic markers ( COL1A1, COL3A1, ACTA2, CTGF ) and the cell proliferation marker MKI67 was determined by RT-qPCR ( n = 3). (E) Western blot analysis of COL1A1 and MMP1 protein expression in keloid fibroblasts exposed to graded concentrations of Rottlerin (0.33, 1, and 3 μM) ( n = 2). (F) RT-qPCR analysis of COL1A1, COL3A1 , and CTGF in keloid fibroblasts from six patients after treatment with Rottlerin at 3 μM ( n = 6). (G) SAR-guided structural optimization of Rottlerin yielding <t>derivatives</t> <t>FR-1</t> to FR-12. (H) Screening of fibrosis-reversal efficacy among twelve distinct modified compounds (FR-1 to FR-12) at a uniform concentration of 2 μM via RT-qPCR quantification of COL1A1, COL3A1, and ACTA2 ( n = 3). Data are mean ± SD; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO by one-way ANOVA.
Compound 1, supplied by Procell Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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PRDX4 is an important regulator of ferroptosis in ESCC cells. (A) Determination of MDA, LPO and GSH contents in KYSE270 cells after transfection with PRDX4 siRNA. (B) Western blot analysis of the protein levels of GPX4, SLC7A11 and PTGS2 in KYSE270 cells transfected with PRDX4 siRNA. (C) The relative protein levels of GPX4, SLC7A11 and PTGS2 in KYSE270 cells transfected with PRDX4 siRNA. (D) Determination of MDA, LPO and GSH contents in KYSE30 cells after transfection with pcDNA3.1-PRDX4. (E) Western blot analysis of the protein levels of GPX4, SLC7A11 and PTGS2 in KYSE30 cells transfected with pcDNA3.1-PRDX4. (F) The relative protein levels of GPX4, SLC7A11 and PTGS2 in KYSE30 cells transfected with pcDNA3.1-PRDX4. (G) Detection of the levels of MDA, LPO and GSH in the control group, PRDX4 siRNA group and PRDX4 siRNA plus Fer-1 group in KYSE270 cells. (H) Western blot analysis of the protein expression levels of GPX4, SLC7A11 and PTGS2 in the control group, PRDX4 siRNA group and PRDX4 siRNA plus Fer-1 group in KYSE270 cells. (I) The relative protein levels of GPX4, SLC7A11 and PTGS2 in the control group, PRDX4 siRNA group and PRDX4 siRNA plus Fer-1 group in KYSE270 cells. (J) Detection of the levels of MDA, LPO and GSH in the pcDNA3.1 group, pcDNA3.1-PRDX4 group and pcDNA3.1-PRDX4 plus erastin group in KYSE30 cells. (K) Western blot analysis of the protein expression levels of GPX4, SLC7A11 and PTGS2 in the pcDNA3.1 group, pcDNA3.1-PRDX4 group and pcDNA3.1-PRDX4 plus erastin group in KYSE30 cells. (L) The relative protein levels of GPX4, SLC7A11 and PTGS2 in the pcDNA3.1 group, pcDNA3.1-PRDX4 group and pcDNA3.1-PRDX4 plus erastin group in KYSE30 cells. ** P<0.01, *** P<0.001 and **** P<0.0001, indicate statistical significance. PRDX4, peroxiredoxin 4; ESCC, esophageal squamous cell carcinoma; siRNA, small interfering RNA; MDA, malondialdehyde; LPO, lipid peroxidation; GSH, glutathione; GPX4, glutathione peroxidase 4; SLC7A11, solute carrier family 7 member 11; PTGS2, prostaglandin-endoperoxide synthase 2; Fer-1, ferrostatin-1; ns, not significant.

Journal: Biomedical Reports

Article Title: Peroxiredoxin 4 suppresses ferroptosis in esophageal squamous cell carcinoma by activating the phosphoinositide 3-kinase  signaling pathway

doi: 10.3892/br.2026.2133

Figure Lengend Snippet: PRDX4 is an important regulator of ferroptosis in ESCC cells. (A) Determination of MDA, LPO and GSH contents in KYSE270 cells after transfection with PRDX4 siRNA. (B) Western blot analysis of the protein levels of GPX4, SLC7A11 and PTGS2 in KYSE270 cells transfected with PRDX4 siRNA. (C) The relative protein levels of GPX4, SLC7A11 and PTGS2 in KYSE270 cells transfected with PRDX4 siRNA. (D) Determination of MDA, LPO and GSH contents in KYSE30 cells after transfection with pcDNA3.1-PRDX4. (E) Western blot analysis of the protein levels of GPX4, SLC7A11 and PTGS2 in KYSE30 cells transfected with pcDNA3.1-PRDX4. (F) The relative protein levels of GPX4, SLC7A11 and PTGS2 in KYSE30 cells transfected with pcDNA3.1-PRDX4. (G) Detection of the levels of MDA, LPO and GSH in the control group, PRDX4 siRNA group and PRDX4 siRNA plus Fer-1 group in KYSE270 cells. (H) Western blot analysis of the protein expression levels of GPX4, SLC7A11 and PTGS2 in the control group, PRDX4 siRNA group and PRDX4 siRNA plus Fer-1 group in KYSE270 cells. (I) The relative protein levels of GPX4, SLC7A11 and PTGS2 in the control group, PRDX4 siRNA group and PRDX4 siRNA plus Fer-1 group in KYSE270 cells. (J) Detection of the levels of MDA, LPO and GSH in the pcDNA3.1 group, pcDNA3.1-PRDX4 group and pcDNA3.1-PRDX4 plus erastin group in KYSE30 cells. (K) Western blot analysis of the protein expression levels of GPX4, SLC7A11 and PTGS2 in the pcDNA3.1 group, pcDNA3.1-PRDX4 group and pcDNA3.1-PRDX4 plus erastin group in KYSE30 cells. (L) The relative protein levels of GPX4, SLC7A11 and PTGS2 in the pcDNA3.1 group, pcDNA3.1-PRDX4 group and pcDNA3.1-PRDX4 plus erastin group in KYSE30 cells. ** P<0.01, *** P<0.001 and **** P<0.0001, indicate statistical significance. PRDX4, peroxiredoxin 4; ESCC, esophageal squamous cell carcinoma; siRNA, small interfering RNA; MDA, malondialdehyde; LPO, lipid peroxidation; GSH, glutathione; GPX4, glutathione peroxidase 4; SLC7A11, solute carrier family 7 member 11; PTGS2, prostaglandin-endoperoxide synthase 2; Fer-1, ferrostatin-1; ns, not significant.

Article Snippet: The cells were then treated with erastin (5 μM), ferrostatin-1 (Fer-1; 10 μM), 740 Y-P (20 μM) and LY294002 (20 μM) (all from TargetMol Chemicals Corporation) for 24 h at 37 ̊C.

Techniques: Transfection, Western Blot, Control, Expressing, Small Interfering RNA

(A) Schematic representation of major tryptophan (Trp)-derived metabolic pathways, including the kynurenine pathway (center), the indole-3-pyruvic acid (IPA)–indole-3-acetic acid (IAA) pathway, and the tryptamine– serotonin–melatonin branch (top). Solid, dashed, and double boxes indicate metabolites reported in animals, plants, or both, respectively. Enzymes are indicated at each step: IDO1/IDO2 (indoleamine 2,3-dioxygenase), TDO (tryptophan 2,3-dioxygenase), AFMID (arylformamidase), KAT (kynurenine aminotransferase), TDC (tryptophan decarboxylase), TAA1/TAR (tryptophan aminotransferase), KYNU (kynureninase), KMO (kynurenine 3-monooxygenase), HAAO (3-hydroxyanthranilate 3,4-dioxygenase), ACMSD (α-amino-β-carboxymuconate-ε-semialdehyde decarboxylase), and QPRT (quinolinate phosphoribosyltransferase). Inhibitor targets are indicated at the corresponding steps: JM6 and RO 61-8048 inhibit KMO, and PF-04859989 inhibits KAT. (B) Chemical structures of the kynurenine pathway metabolites quantified in this study: kynurenine, kynurenic acid (KYNA), and 3-hydroxyanthranilic acid (3-HAA). (C) Chemical structures of the inhibitors used in this study. Core structural differences between JM6 and RO 61-8048 are highlighted in red.

Journal: bioRxiv

Article Title: Auxin is metabolized through kynurenine in Hypericum perforatum L

doi: 10.64898/2026.05.18.726114

Figure Lengend Snippet: (A) Schematic representation of major tryptophan (Trp)-derived metabolic pathways, including the kynurenine pathway (center), the indole-3-pyruvic acid (IPA)–indole-3-acetic acid (IAA) pathway, and the tryptamine– serotonin–melatonin branch (top). Solid, dashed, and double boxes indicate metabolites reported in animals, plants, or both, respectively. Enzymes are indicated at each step: IDO1/IDO2 (indoleamine 2,3-dioxygenase), TDO (tryptophan 2,3-dioxygenase), AFMID (arylformamidase), KAT (kynurenine aminotransferase), TDC (tryptophan decarboxylase), TAA1/TAR (tryptophan aminotransferase), KYNU (kynureninase), KMO (kynurenine 3-monooxygenase), HAAO (3-hydroxyanthranilate 3,4-dioxygenase), ACMSD (α-amino-β-carboxymuconate-ε-semialdehyde decarboxylase), and QPRT (quinolinate phosphoribosyltransferase). Inhibitor targets are indicated at the corresponding steps: JM6 and RO 61-8048 inhibit KMO, and PF-04859989 inhibits KAT. (B) Chemical structures of the kynurenine pathway metabolites quantified in this study: kynurenine, kynurenic acid (KYNA), and 3-hydroxyanthranilic acid (3-HAA). (C) Chemical structures of the inhibitors used in this study. Core structural differences between JM6 and RO 61-8048 are highlighted in red.

Article Snippet: The compound (R)-3-amino-1-hydroxy-3,4-dihydroquinolin-2(1H)-one (PF-04859989) was identified by a high-throughput screen of the Pfizer compound library as a high-affinity inhibitor of human kynurenine aminotransferase (KAT; ).

Techniques: Derivative Assay

( A) Representative images of explants cultured on MSO (control), kynurenine (KYN), indole-3-acetic acid (IAA), and IAA combined with inhibitors (IAA + JM6, IAA + PF-04859989 [PF], and IAA + RO 61-8048 [RO]). Scale bar = 1 cm (B) Rooting frequency, (C) internodal length (cm per node), (D) root number, and (E) maximum root length (cm) of explants under each treatment. For rooting frequency (B), bars represent mean proportion rooted ± SE. For (C–E), boxplots represent median (center line), interquartile range (box), and range (whiskers). Differences relative to the MSO control were evaluated using Dunnett-adjusted contrasts (p < 0.05; n = 12–18 per treatment).

Journal: bioRxiv

Article Title: Auxin is metabolized through kynurenine in Hypericum perforatum L

doi: 10.64898/2026.05.18.726114

Figure Lengend Snippet: ( A) Representative images of explants cultured on MSO (control), kynurenine (KYN), indole-3-acetic acid (IAA), and IAA combined with inhibitors (IAA + JM6, IAA + PF-04859989 [PF], and IAA + RO 61-8048 [RO]). Scale bar = 1 cm (B) Rooting frequency, (C) internodal length (cm per node), (D) root number, and (E) maximum root length (cm) of explants under each treatment. For rooting frequency (B), bars represent mean proportion rooted ± SE. For (C–E), boxplots represent median (center line), interquartile range (box), and range (whiskers). Differences relative to the MSO control were evaluated using Dunnett-adjusted contrasts (p < 0.05; n = 12–18 per treatment).

Article Snippet: The compound (R)-3-amino-1-hydroxy-3,4-dihydroquinolin-2(1H)-one (PF-04859989) was identified by a high-throughput screen of the Pfizer compound library as a high-affinity inhibitor of human kynurenine aminotransferase (KAT; ).

Techniques: Cell Culture, Control

(A–C) Representative extracted ion chromatograms (EICs) of PF-04859989 (A), RO 61-8048 (B), and JM6 (KMO inhibitor II) (C) detected in plant tissue by LC–HRMS. Each panel shows the precursor ion trace at the expected m/z and retention time. (D–F) Relative abundance of PF (D), RO (E), and JM6 (F) in roots and shoots following treatment with MSO (control), inhibitor alone, or IAA + inhibitor. Peak areas are shown as log□□-transformed values. Boxplots represent median (center line), interquartile range (box), and range (whiskers). Signals corresponding to each inhibitor were observed in treated tissues and were not detected in MSO controls. Detection was also observed in IAA co-application treatments.

Journal: bioRxiv

Article Title: Auxin is metabolized through kynurenine in Hypericum perforatum L

doi: 10.64898/2026.05.18.726114

Figure Lengend Snippet: (A–C) Representative extracted ion chromatograms (EICs) of PF-04859989 (A), RO 61-8048 (B), and JM6 (KMO inhibitor II) (C) detected in plant tissue by LC–HRMS. Each panel shows the precursor ion trace at the expected m/z and retention time. (D–F) Relative abundance of PF (D), RO (E), and JM6 (F) in roots and shoots following treatment with MSO (control), inhibitor alone, or IAA + inhibitor. Peak areas are shown as log□□-transformed values. Boxplots represent median (center line), interquartile range (box), and range (whiskers). Signals corresponding to each inhibitor were observed in treated tissues and were not detected in MSO controls. Detection was also observed in IAA co-application treatments.

Article Snippet: The compound (R)-3-amino-1-hydroxy-3,4-dihydroquinolin-2(1H)-one (PF-04859989) was identified by a high-throughput screen of the Pfizer compound library as a high-affinity inhibitor of human kynurenine aminotransferase (KAT; ).

Techniques: Control, Transformation Assay

Concentrations of (A, D) kynurenic acid (KYNA), (B, E) kynurenine (KYN), and (C, F) 3-hydroxyanthranilic acid (3-HAA) in shoots (A–C) and roots (D–F) of explants cultured on MSO (control), IAA, or IAA combined with kynurenine pathway inhibitors (IAA + JM6, IAA + PF-04859989, and IAA + RO 61-8048). Concentrations are shown as log□□ (ng g −1 FW). Boxplots represent median (center line), interquartile range (box), and range (whiskers). For shoots (A–C), different letters indicate significant differences among treatments (one-way ANOVA followed by Tukey’s HSD, p < 0.05; n = 3). For roots (D–F), differences relative to the MSO control were evaluated using Dunnett-adjusted contrasts (p < 0.05; n = 3).

Journal: bioRxiv

Article Title: Auxin is metabolized through kynurenine in Hypericum perforatum L

doi: 10.64898/2026.05.18.726114

Figure Lengend Snippet: Concentrations of (A, D) kynurenic acid (KYNA), (B, E) kynurenine (KYN), and (C, F) 3-hydroxyanthranilic acid (3-HAA) in shoots (A–C) and roots (D–F) of explants cultured on MSO (control), IAA, or IAA combined with kynurenine pathway inhibitors (IAA + JM6, IAA + PF-04859989, and IAA + RO 61-8048). Concentrations are shown as log□□ (ng g −1 FW). Boxplots represent median (center line), interquartile range (box), and range (whiskers). For shoots (A–C), different letters indicate significant differences among treatments (one-way ANOVA followed by Tukey’s HSD, p < 0.05; n = 3). For roots (D–F), differences relative to the MSO control were evaluated using Dunnett-adjusted contrasts (p < 0.05; n = 3).

Article Snippet: The compound (R)-3-amino-1-hydroxy-3,4-dihydroquinolin-2(1H)-one (PF-04859989) was identified by a high-throughput screen of the Pfizer compound library as a high-affinity inhibitor of human kynurenine aminotransferase (KAT; ).

Techniques: Cell Culture, Control

Indole-3-acetic acid (IAA) is primarily synthesized from tryptophan through the indole-3-pyruvate (IPyA) pathway via tryptophan aminotransferase (TAA) and YUCCA flavin monooxygenase (YUC). Free IAA may be regulated through conjugation, catabolism, oxidative transformation and through feedback effects on tryptophan-derived metabolism. Kynurenine pathway metabolism proceeds through N-formyl-kynurenine and kynurenine, which occupies a central branch point between kynurenic acid formation via kynurenine aminotransferase (KAT) and downstream oxidative metabolism toward 3-hydroxyanthranilic acid (3-HAA) via kynurenine monooxygenase (KMO). Reactive oxygen species (ROS), temperature, drought, iron, and Fe 2+ are shown as potential stress and redox inputs that may influence auxin and kynurenine-associated metabolism. The pharmacological inhibitors used in this study are shown at their proposed targets: PF-04859989 at KAT, and RO-61-8048 and JM6 at kynurenine monooxygenase (KMO). Dashed arrows indicate proposed interactions linking auxin catabolism or oxidative transformation with kynurenine-associated metabolite accumulation and potential feedback on tryptophan-dependent auxin biosynthesis.

Journal: bioRxiv

Article Title: Auxin is metabolized through kynurenine in Hypericum perforatum L

doi: 10.64898/2026.05.18.726114

Figure Lengend Snippet: Indole-3-acetic acid (IAA) is primarily synthesized from tryptophan through the indole-3-pyruvate (IPyA) pathway via tryptophan aminotransferase (TAA) and YUCCA flavin monooxygenase (YUC). Free IAA may be regulated through conjugation, catabolism, oxidative transformation and through feedback effects on tryptophan-derived metabolism. Kynurenine pathway metabolism proceeds through N-formyl-kynurenine and kynurenine, which occupies a central branch point between kynurenic acid formation via kynurenine aminotransferase (KAT) and downstream oxidative metabolism toward 3-hydroxyanthranilic acid (3-HAA) via kynurenine monooxygenase (KMO). Reactive oxygen species (ROS), temperature, drought, iron, and Fe 2+ are shown as potential stress and redox inputs that may influence auxin and kynurenine-associated metabolism. The pharmacological inhibitors used in this study are shown at their proposed targets: PF-04859989 at KAT, and RO-61-8048 and JM6 at kynurenine monooxygenase (KMO). Dashed arrows indicate proposed interactions linking auxin catabolism or oxidative transformation with kynurenine-associated metabolite accumulation and potential feedback on tryptophan-dependent auxin biosynthesis.

Article Snippet: The compound (R)-3-amino-1-hydroxy-3,4-dihydroquinolin-2(1H)-one (PF-04859989) was identified by a high-throughput screen of the Pfizer compound library as a high-affinity inhibitor of human kynurenine aminotransferase (KAT; ).

Techniques: Synthesized, Conjugation Assay, Transformation Assay, Derivative Assay

Transcriptome screening platform DRUG-seq2 identified chemical compounds for reversing skin fibrosis (A) Schematic of the drug screening process: fibroblasts isolated from pathological scar tissue of patients underwent chemical library treatment, followed by DRUG-seq2 transcriptional profiling. Bioinformatics-driven prioritization yielded lead compounds, with phenotype-reversing hits undergoing further functional validation. (B) Uniform manifold approximation and projection (UMAP) of DRUG-seq2 data from keloid fibroblasts treated with different compounds. (C) Circular heatmap depicting ssGSEA enrichment scores for compound-mediated modulation of fibrosis-associated gene signatures. (D) Bright-field microscopy of keloid fibroblasts treated with DMSO or Rottlerin (0.33, 1, and 3 μM; scale bars, 100 μm), with quantification of cell count. Relative mRNA expression of profibrotic markers ( COL1A1, COL3A1, ACTA2, CTGF ) and the cell proliferation marker MKI67 was determined by RT-qPCR ( n = 3). (E) Western blot analysis of COL1A1 and MMP1 protein expression in keloid fibroblasts exposed to graded concentrations of Rottlerin (0.33, 1, and 3 μM) ( n = 2). (F) RT-qPCR analysis of COL1A1, COL3A1 , and CTGF in keloid fibroblasts from six patients after treatment with Rottlerin at 3 μM ( n = 6). (G) SAR-guided structural optimization of Rottlerin yielding derivatives FR-1 to FR-12. (H) Screening of fibrosis-reversal efficacy among twelve distinct modified compounds (FR-1 to FR-12) at a uniform concentration of 2 μM via RT-qPCR quantification of COL1A1, COL3A1, and ACTA2 ( n = 3). Data are mean ± SD; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO by one-way ANOVA.

Journal: Cell Reports Medicine

Article Title: Transcriptome-guided development of a fibrosis-reversal compound reduces skin scarring and allows regeneration via mitochondrial uncoupling

doi: 10.1016/j.xcrm.2026.102821

Figure Lengend Snippet: Transcriptome screening platform DRUG-seq2 identified chemical compounds for reversing skin fibrosis (A) Schematic of the drug screening process: fibroblasts isolated from pathological scar tissue of patients underwent chemical library treatment, followed by DRUG-seq2 transcriptional profiling. Bioinformatics-driven prioritization yielded lead compounds, with phenotype-reversing hits undergoing further functional validation. (B) Uniform manifold approximation and projection (UMAP) of DRUG-seq2 data from keloid fibroblasts treated with different compounds. (C) Circular heatmap depicting ssGSEA enrichment scores for compound-mediated modulation of fibrosis-associated gene signatures. (D) Bright-field microscopy of keloid fibroblasts treated with DMSO or Rottlerin (0.33, 1, and 3 μM; scale bars, 100 μm), with quantification of cell count. Relative mRNA expression of profibrotic markers ( COL1A1, COL3A1, ACTA2, CTGF ) and the cell proliferation marker MKI67 was determined by RT-qPCR ( n = 3). (E) Western blot analysis of COL1A1 and MMP1 protein expression in keloid fibroblasts exposed to graded concentrations of Rottlerin (0.33, 1, and 3 μM) ( n = 2). (F) RT-qPCR analysis of COL1A1, COL3A1 , and CTGF in keloid fibroblasts from six patients after treatment with Rottlerin at 3 μM ( n = 6). (G) SAR-guided structural optimization of Rottlerin yielding derivatives FR-1 to FR-12. (H) Screening of fibrosis-reversal efficacy among twelve distinct modified compounds (FR-1 to FR-12) at a uniform concentration of 2 μM via RT-qPCR quantification of COL1A1, COL3A1, and ACTA2 ( n = 3). Data are mean ± SD; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO by one-way ANOVA.

Article Snippet: Single-crystal X-ray diffraction data collection of compound FR-1 , The Cambridge Crystallographic Data Center (CCDC) , CCDC: 2498324.

Techniques: Drug discovery, Isolation, Functional Assay, Biomarker Discovery, Microscopy, Cell Characterization, Expressing, Marker, Quantitative RT-PCR, Western Blot, Modification, Concentration Assay

Modified compound FR-1 retains fibrosis-reversal efficacy (A) Bright-field microscopy of keloid fibroblasts treated with DMSO or FR-1 (0.33, 1, and 3 μM; scale bars, 100 μm), with quantification of cell count. Relative mRNA expression of profibrotic markers ( COL1A1, COL3A1, ACTA2, CTGF ) and the cell proliferation marker MKI67 was determined by RT-qPCR ( n = 3). (B) Western blot analysis of COL1A1 and MMP1 protein expression in keloid fibroblasts exposed to graded concentrations of FR-1 (0.33, 1, and 3 μM) ( n = 2). (C) RT-qPCR analysis of COL1A1, COL3A1, ACTA2 , and CTGF in keloid fibroblasts from six patients after treatment with FR-1 at 3 μM ( n = 6). (D) Clustered heatmap analysis of fibrosis-related genes based on bulk RNA-seq. (E and F) Top 10 significantly downregulated GO terms in (E) Rottlerin- and (F) FR-1-treated groups relative to DMSO controls. (G) Enriched biological processes comparing FR-1 versus Rottlerin treatment. (H) Kinase inhibition profile of Rottlerin and FR-1. Data are mean ± SD, n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO by one-way ANOVA.

Journal: Cell Reports Medicine

Article Title: Transcriptome-guided development of a fibrosis-reversal compound reduces skin scarring and allows regeneration via mitochondrial uncoupling

doi: 10.1016/j.xcrm.2026.102821

Figure Lengend Snippet: Modified compound FR-1 retains fibrosis-reversal efficacy (A) Bright-field microscopy of keloid fibroblasts treated with DMSO or FR-1 (0.33, 1, and 3 μM; scale bars, 100 μm), with quantification of cell count. Relative mRNA expression of profibrotic markers ( COL1A1, COL3A1, ACTA2, CTGF ) and the cell proliferation marker MKI67 was determined by RT-qPCR ( n = 3). (B) Western blot analysis of COL1A1 and MMP1 protein expression in keloid fibroblasts exposed to graded concentrations of FR-1 (0.33, 1, and 3 μM) ( n = 2). (C) RT-qPCR analysis of COL1A1, COL3A1, ACTA2 , and CTGF in keloid fibroblasts from six patients after treatment with FR-1 at 3 μM ( n = 6). (D) Clustered heatmap analysis of fibrosis-related genes based on bulk RNA-seq. (E and F) Top 10 significantly downregulated GO terms in (E) Rottlerin- and (F) FR-1-treated groups relative to DMSO controls. (G) Enriched biological processes comparing FR-1 versus Rottlerin treatment. (H) Kinase inhibition profile of Rottlerin and FR-1. Data are mean ± SD, n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO by one-way ANOVA.

Article Snippet: Single-crystal X-ray diffraction data collection of compound FR-1 , The Cambridge Crystallographic Data Center (CCDC) , CCDC: 2498324.

Techniques: Modification, Microscopy, Cell Characterization, Expressing, Marker, Quantitative RT-PCR, Western Blot, RNA Sequencing, Inhibition

FR-1 attenuates established scars and preserves hair follicles in a murine linear excisional wound model (A) Schematic and timeline of the murine linear excisional wound model (1.5 × 0.2 cm wounds, 0.4 cm lateral to the midline). (B) Representative images of scar progression in vehicle-, FR-1-, TA-, and blank (surgery only)-treated groups at indicated time points (white boxes: scar areas; n = 10 scars from 5 mice per group). Quantification of (C) scar dynamic changes (line plots) and (D) scar area at day 12 (bar graph). (E) H&E-stained scar sections (scale bars, 1000 μm in low-power field, 200 μm in high-power field), (F) scar width quantification ( n = 5 mice). (G) Representative images of epidermal architecture in treated vs. normal skin (H&E; scale bars, 100 μm). Quantification of (H) epidermal thickness and (I) nuclear density ( n = 5 mice). (J) Hair follicle density ( n = 4 randomly selected representative high-power fields [HPFs] from 3 to 4 mice). (K) α-SMA/β-catenin co-staining (scale bars, 100 μm). Split channels (β-catenin, red; α-SMA, green) highlight follicular structures, and (L) correlation coefficients ( n = 4 HPFs from 2 to 3 mice). (M) Representative polarized light images of Sirius Red staining; separated type I (red) and type III (green) collagen signals are shown, along with corresponding vector field maps visualizing fiber orientation (scale bars, 50 μm). Quantification includes (N) type I/III collagen ratio ( n = 3 mice), (O) coherency index ( n = 6 HPFs), and (P) fiber angle distribution. (Q) Masson’s trichrome staining (scale bars, 500 μm) and (R) CVF analysis ( n = 5 mice). Note: “Blank” represents the baseline for untreated pathological scarring, “Vehicle” indicates the ointment base control, serving as the strict negative control to isolate pharmacological effects from baseline healing variation. Data are mean ± SEM; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant by one-way ANOVA.

Journal: Cell Reports Medicine

Article Title: Transcriptome-guided development of a fibrosis-reversal compound reduces skin scarring and allows regeneration via mitochondrial uncoupling

doi: 10.1016/j.xcrm.2026.102821

Figure Lengend Snippet: FR-1 attenuates established scars and preserves hair follicles in a murine linear excisional wound model (A) Schematic and timeline of the murine linear excisional wound model (1.5 × 0.2 cm wounds, 0.4 cm lateral to the midline). (B) Representative images of scar progression in vehicle-, FR-1-, TA-, and blank (surgery only)-treated groups at indicated time points (white boxes: scar areas; n = 10 scars from 5 mice per group). Quantification of (C) scar dynamic changes (line plots) and (D) scar area at day 12 (bar graph). (E) H&E-stained scar sections (scale bars, 1000 μm in low-power field, 200 μm in high-power field), (F) scar width quantification ( n = 5 mice). (G) Representative images of epidermal architecture in treated vs. normal skin (H&E; scale bars, 100 μm). Quantification of (H) epidermal thickness and (I) nuclear density ( n = 5 mice). (J) Hair follicle density ( n = 4 randomly selected representative high-power fields [HPFs] from 3 to 4 mice). (K) α-SMA/β-catenin co-staining (scale bars, 100 μm). Split channels (β-catenin, red; α-SMA, green) highlight follicular structures, and (L) correlation coefficients ( n = 4 HPFs from 2 to 3 mice). (M) Representative polarized light images of Sirius Red staining; separated type I (red) and type III (green) collagen signals are shown, along with corresponding vector field maps visualizing fiber orientation (scale bars, 50 μm). Quantification includes (N) type I/III collagen ratio ( n = 3 mice), (O) coherency index ( n = 6 HPFs), and (P) fiber angle distribution. (Q) Masson’s trichrome staining (scale bars, 500 μm) and (R) CVF analysis ( n = 5 mice). Note: “Blank” represents the baseline for untreated pathological scarring, “Vehicle” indicates the ointment base control, serving as the strict negative control to isolate pharmacological effects from baseline healing variation. Data are mean ± SEM; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant by one-way ANOVA.

Article Snippet: Single-crystal X-ray diffraction data collection of compound FR-1 , The Cambridge Crystallographic Data Center (CCDC) , CCDC: 2498324.

Techniques: Staining, Plasmid Preparation, Ointment, Control, Negative Control

FR-1 attenuates fibrotic scarring and preserves hair follicles in a murine splinted excisional wound model (A and B) Schematic and timeline (A) of the murine splinted excisional wound model (silicone ring: 8/15 mm inner/outer diameter) (B). (C) Representative images of wound healing and scar formation progression (D0–D60) with vehicle or FR-1 treatment. (D) Quantification of wound/scar areas over time ( n = 6–10 scars from 3 to 5 mice per group). Representative (E) H&E (black lines mark scar width) and (F) Masson’s trichrome staining (scale bars, 500 μm; high-magnification H&E: 200 μm). (G) Quantification of hair follicle density ( n = 4 HPFs from 2 to 3 mice) and (H) CVF ( n = 3 mice). (I) β-catenin/α-SMA colocalization in scar tissue (day 60). Left: Representative IF images with split channels (β-catenin, red; α-SMA, green) (scale bars, 200 μm). Right: Scatterplots (diagonal distribution) and fluorescence intensity curves showing colocalization. (J) Pearson’s Rr and Overlap R coefficients ( n = 4 HPFs from 2 mice; Rr = 0.5–1.0, overlap R = 0.6–1.0 indicate colocalization). Data are mean ± SEM; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001 vs. vehicle by Student’s t test (D, G, and H) or by one-way ANOVA (J).

Journal: Cell Reports Medicine

Article Title: Transcriptome-guided development of a fibrosis-reversal compound reduces skin scarring and allows regeneration via mitochondrial uncoupling

doi: 10.1016/j.xcrm.2026.102821

Figure Lengend Snippet: FR-1 attenuates fibrotic scarring and preserves hair follicles in a murine splinted excisional wound model (A and B) Schematic and timeline (A) of the murine splinted excisional wound model (silicone ring: 8/15 mm inner/outer diameter) (B). (C) Representative images of wound healing and scar formation progression (D0–D60) with vehicle or FR-1 treatment. (D) Quantification of wound/scar areas over time ( n = 6–10 scars from 3 to 5 mice per group). Representative (E) H&E (black lines mark scar width) and (F) Masson’s trichrome staining (scale bars, 500 μm; high-magnification H&E: 200 μm). (G) Quantification of hair follicle density ( n = 4 HPFs from 2 to 3 mice) and (H) CVF ( n = 3 mice). (I) β-catenin/α-SMA colocalization in scar tissue (day 60). Left: Representative IF images with split channels (β-catenin, red; α-SMA, green) (scale bars, 200 μm). Right: Scatterplots (diagonal distribution) and fluorescence intensity curves showing colocalization. (J) Pearson’s Rr and Overlap R coefficients ( n = 4 HPFs from 2 mice; Rr = 0.5–1.0, overlap R = 0.6–1.0 indicate colocalization). Data are mean ± SEM; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001 vs. vehicle by Student’s t test (D, G, and H) or by one-way ANOVA (J).

Article Snippet: Single-crystal X-ray diffraction data collection of compound FR-1 , The Cambridge Crystallographic Data Center (CCDC) , CCDC: 2498324.

Techniques: Staining, Fluorescence

FR-1 suppresses keloid progression in patient-derived ex vivo and xenograft models (A) Keloid tissue explants were pre-cultured and subsequently treated with vehicle (DMSO), 1 μM FR-1, or 1 μM TA (designated as treatment day 0). (B) Representative micrographs illustrating cell outgrowth from the explants, captured at identical fields of view on treatment days 0, 2, 4, and 7 (Scale bars, 100 μm). (C) The number of migrated cells was quantified at treatment days 0, 2, 4, and 7 ( n = 3). (D) Schematic timeline of the experimental design. (E) Representative images of the surgical implantation and wound closure. (F) Macroscopic appearance of explanted grafts at day 63. (G) Scatterplot analysis of explanted graft volume from vehicle- and FR-1 (0.1 μM)-treated groups, measured by digital calipers and calculated as V = 0.5 × length × width 2 ( n = 3 mice). (H) Body weight changes of mice during the treatment period. Red arrows indicate injection time points ( n = 3 mice). (I) Representative H&E staining of explanted grafts at day 63. Stars indicate hyalinized collagen bundles; arrows indicate microvessels; arrowheads indicate representative inflammatory cells. Scale bars, 500 μm (left) and 200 μm (middle and right). (J) Representative immunohistochemical staining (scale bars, 100 μm) and (K) quantification of α-SMA at the graft-host interface ( n = 3 mice). Note: All xenografts were derived from the keloid tissue of a single patient donor. Data represent mean ± SEM; n represents the number of independent biological replicates, except for (C), where n represents technical replicates. ∗∗ p < 0.01; ns, not significant vs. vehicle by Student’s t test.

Journal: Cell Reports Medicine

Article Title: Transcriptome-guided development of a fibrosis-reversal compound reduces skin scarring and allows regeneration via mitochondrial uncoupling

doi: 10.1016/j.xcrm.2026.102821

Figure Lengend Snippet: FR-1 suppresses keloid progression in patient-derived ex vivo and xenograft models (A) Keloid tissue explants were pre-cultured and subsequently treated with vehicle (DMSO), 1 μM FR-1, or 1 μM TA (designated as treatment day 0). (B) Representative micrographs illustrating cell outgrowth from the explants, captured at identical fields of view on treatment days 0, 2, 4, and 7 (Scale bars, 100 μm). (C) The number of migrated cells was quantified at treatment days 0, 2, 4, and 7 ( n = 3). (D) Schematic timeline of the experimental design. (E) Representative images of the surgical implantation and wound closure. (F) Macroscopic appearance of explanted grafts at day 63. (G) Scatterplot analysis of explanted graft volume from vehicle- and FR-1 (0.1 μM)-treated groups, measured by digital calipers and calculated as V = 0.5 × length × width 2 ( n = 3 mice). (H) Body weight changes of mice during the treatment period. Red arrows indicate injection time points ( n = 3 mice). (I) Representative H&E staining of explanted grafts at day 63. Stars indicate hyalinized collagen bundles; arrows indicate microvessels; arrowheads indicate representative inflammatory cells. Scale bars, 500 μm (left) and 200 μm (middle and right). (J) Representative immunohistochemical staining (scale bars, 100 μm) and (K) quantification of α-SMA at the graft-host interface ( n = 3 mice). Note: All xenografts were derived from the keloid tissue of a single patient donor. Data represent mean ± SEM; n represents the number of independent biological replicates, except for (C), where n represents technical replicates. ∗∗ p < 0.01; ns, not significant vs. vehicle by Student’s t test.

Article Snippet: Single-crystal X-ray diffraction data collection of compound FR-1 , The Cambridge Crystallographic Data Center (CCDC) , CCDC: 2498324.

Techniques: Derivative Assay, Ex Vivo, Cell Culture, Injection, Staining, Immunohistochemical staining

The mode of action for FR-1’s fibrosis-reversal effects is mitochondrial uncoupling (A) RT-qPCR analysis of COL1A1, COL3A1 , and ACTA2 in human keloid fibroblasts after treatment with different PKC family inhibitors ( n = 3). (B) Mitochondrial membrane potential detection (TMRE) in keloid fibroblasts treated with increasing concentrations of FR-1 (scale bars, 200 μm, n = 4). (C) Mitochondrial uncoupling morphology detection and puncta quantification in human keloid fibroblasts treated with increasing concentrations of FR-1 (scale bars, 10 μm, n = 2). (D) ATP/ADP mass spectrometry detection following treatment of keloid fibroblasts with increasing concentrations of FR-1 ( n = 3). (E) Seahorse XF analysis of real-time oxygen consumption rate (OCR) profiles in fibroblasts treated with FR-1 or DMSO ( n = 4). (F) RT-qPCR analysis of fibrosis biomarkers in human keloid fibroblasts after treatment with different mitochondrial uncoupling compounds, FCCP and BAM15 ( n = 3). (G) Mitochondrial membrane potential detection in keloid fibroblasts treated with different mitochondrial uncoupling compounds (scale bars, 200 μm, n = 4). (H) RT-qPCR analysis of fibrosis biomarkers in human keloid fibroblasts after overexpression of mitochondrial uncoupling proteins ( n = 3). Data are mean ± SD; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO or vector by one-way ANOVA.

Journal: Cell Reports Medicine

Article Title: Transcriptome-guided development of a fibrosis-reversal compound reduces skin scarring and allows regeneration via mitochondrial uncoupling

doi: 10.1016/j.xcrm.2026.102821

Figure Lengend Snippet: The mode of action for FR-1’s fibrosis-reversal effects is mitochondrial uncoupling (A) RT-qPCR analysis of COL1A1, COL3A1 , and ACTA2 in human keloid fibroblasts after treatment with different PKC family inhibitors ( n = 3). (B) Mitochondrial membrane potential detection (TMRE) in keloid fibroblasts treated with increasing concentrations of FR-1 (scale bars, 200 μm, n = 4). (C) Mitochondrial uncoupling morphology detection and puncta quantification in human keloid fibroblasts treated with increasing concentrations of FR-1 (scale bars, 10 μm, n = 2). (D) ATP/ADP mass spectrometry detection following treatment of keloid fibroblasts with increasing concentrations of FR-1 ( n = 3). (E) Seahorse XF analysis of real-time oxygen consumption rate (OCR) profiles in fibroblasts treated with FR-1 or DMSO ( n = 4). (F) RT-qPCR analysis of fibrosis biomarkers in human keloid fibroblasts after treatment with different mitochondrial uncoupling compounds, FCCP and BAM15 ( n = 3). (G) Mitochondrial membrane potential detection in keloid fibroblasts treated with different mitochondrial uncoupling compounds (scale bars, 200 μm, n = 4). (H) RT-qPCR analysis of fibrosis biomarkers in human keloid fibroblasts after overexpression of mitochondrial uncoupling proteins ( n = 3). Data are mean ± SD; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001; ns, not statistically significant vs. DMSO or vector by one-way ANOVA.

Article Snippet: Single-crystal X-ray diffraction data collection of compound FR-1 , The Cambridge Crystallographic Data Center (CCDC) , CCDC: 2498324.

Techniques: Quantitative RT-PCR, Membrane, Mass Spectrometry, Over Expression, Plasmid Preparation

Mitochondrial uncoupling by FCCP also attenuates skin fibrosis (A) Schematic and timeline for assessing mitochondrial uncoupling in the murine linear excisional wound model. (B) Representative scar images (white boxes: scar margins) from vehicle-, FR-1-, and FCCP-treated mice at indicated time points. (C) Scar area quantification on day 16 ( n = 10 scars from 5 mice per group). Representative (D) H&E staining (black lines: scar width, scale bars, 500 μm) and (E) Masson’s trichrome staining (scale bars, 500 μm) of scar tissues. Quantitative data of (F) scar width ( n = 4 mice) and (G) CVF analysis ( n = 5 mice). (H) Schematic and timeline of the murine splinted excisional wound model. (I) Representative images of wound healing and scar formation progression (D0–D60) with vehicle, FR-1, or FCCP treatment. (J) Quantification of wound/scar areas over time (n = 6–10 scars from 3 to 5 mice per group). Representative (K) H&E staining (scale bars, 500 μm; black lines mark scar width) and (L) Masson’s trichrome staining (scale bars, 200 μm). (M) Quantification of CVF ( n = 3–4 mice). (N) Schematic diagram illustrating the mechanism by which FR-1 reverses fibrosis through promoting mitochondrial uncoupling. Data are mean ± SEM; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ns, not statistically significant vs. vehicle by one-way ANOVA.

Journal: Cell Reports Medicine

Article Title: Transcriptome-guided development of a fibrosis-reversal compound reduces skin scarring and allows regeneration via mitochondrial uncoupling

doi: 10.1016/j.xcrm.2026.102821

Figure Lengend Snippet: Mitochondrial uncoupling by FCCP also attenuates skin fibrosis (A) Schematic and timeline for assessing mitochondrial uncoupling in the murine linear excisional wound model. (B) Representative scar images (white boxes: scar margins) from vehicle-, FR-1-, and FCCP-treated mice at indicated time points. (C) Scar area quantification on day 16 ( n = 10 scars from 5 mice per group). Representative (D) H&E staining (black lines: scar width, scale bars, 500 μm) and (E) Masson’s trichrome staining (scale bars, 500 μm) of scar tissues. Quantitative data of (F) scar width ( n = 4 mice) and (G) CVF analysis ( n = 5 mice). (H) Schematic and timeline of the murine splinted excisional wound model. (I) Representative images of wound healing and scar formation progression (D0–D60) with vehicle, FR-1, or FCCP treatment. (J) Quantification of wound/scar areas over time (n = 6–10 scars from 3 to 5 mice per group). Representative (K) H&E staining (scale bars, 500 μm; black lines mark scar width) and (L) Masson’s trichrome staining (scale bars, 200 μm). (M) Quantification of CVF ( n = 3–4 mice). (N) Schematic diagram illustrating the mechanism by which FR-1 reverses fibrosis through promoting mitochondrial uncoupling. Data are mean ± SEM; n represents the number of independent biological replicates. ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ns, not statistically significant vs. vehicle by one-way ANOVA.

Article Snippet: Single-crystal X-ray diffraction data collection of compound FR-1 , The Cambridge Crystallographic Data Center (CCDC) , CCDC: 2498324.

Techniques: Staining