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cell clusters  (Beyotime)


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    Structured Review

    Beyotime cell clusters
    Cell Clusters, supplied by Beyotime, used in various techniques. Bioz Stars score: 99/100, based on 7421 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cell+clusters/Hoechst+33342/pmc13055574-63-2-14
    Average 99 stars, based on 7421 article reviews
    cell clusters - by Bioz Stars, 2026-11
    99/100 stars

    Images

    Related Articles

    Transfection:

    Article Title: Inhibition of PI3K or AKT Differently Regulates Mesodermal Differentiation in P19CL6 Cells
    Article Snippet: The p-GSK3β (9323) antibody used in the present study was obtained from Cell Signaling Technology (Boston, MA, USA). .. Hoechst 33342, Lipo6000TM Transfection Reagent, ECL Chemiluminescence Detection Kit, BCA Protein Assay Kit, and the Dual-Luciferase Reporter Gene Assay Kit were purchased from Beyotime Biotechnology (Shanghai, China). .. RNA extraction and real-time quantitative PCR (RT-qPCR) kits were obtained from Vazyme Biotech (Nanjing, China).

    Article Title: Thioredoxin‐2 Alleviates Osteoporosis by Restraining FOXO3a Nuclear Translocation
    Article Snippet: .. Twenty‐four hours after transfection, cells were incubated with MitoTracker Deep Red (Thermo Fisher Scientific, A66440) and Hoechst 33342 (Beyotime, C1022) at 37°C for 30 min to label mitochondria and nuclei, respectively. .. Cells were then fixed with 4% paraformaldehyde for 15 min. To assess the effect of TRX2 on FOXO3a localization, cells were transfected with TRX2 siRNA (siTRX2; target sequence: 5′‐GGATGGACCTGACTTTCAA‐3′) or a non‐targeting control siRNA (siCon) at a final concentration of 100 n m using Lipofectamine RNAiMAX (Thermo Fisher Scientific, 13778150) for 48 h. After mitochondrial labeling with MitoTracker Deep Red, endogenous FOXO3a was detected by immunofluorescence staining with an anti‐FOXO3a primary antibody (1:300, Proteintech, 10849‐1‐AP) and an Alexa Fluor 488–conjugated secondary antibody.

    BIA-KA:

    Article Title: Inhibition of PI3K or AKT Differently Regulates Mesodermal Differentiation in P19CL6 Cells
    Article Snippet: The p-GSK3β (9323) antibody used in the present study was obtained from Cell Signaling Technology (Boston, MA, USA). .. Hoechst 33342, Lipo6000TM Transfection Reagent, ECL Chemiluminescence Detection Kit, BCA Protein Assay Kit, and the Dual-Luciferase Reporter Gene Assay Kit were purchased from Beyotime Biotechnology (Shanghai, China). .. RNA extraction and real-time quantitative PCR (RT-qPCR) kits were obtained from Vazyme Biotech (Nanjing, China).

    Reporter Gene Assay:

    Article Title: Inhibition of PI3K or AKT Differently Regulates Mesodermal Differentiation in P19CL6 Cells
    Article Snippet: The p-GSK3β (9323) antibody used in the present study was obtained from Cell Signaling Technology (Boston, MA, USA). .. Hoechst 33342, Lipo6000TM Transfection Reagent, ECL Chemiluminescence Detection Kit, BCA Protein Assay Kit, and the Dual-Luciferase Reporter Gene Assay Kit were purchased from Beyotime Biotechnology (Shanghai, China). .. RNA extraction and real-time quantitative PCR (RT-qPCR) kits were obtained from Vazyme Biotech (Nanjing, China).

    Staining:

    Article Title: Live imaging reveals oocyte membrane pre-remodeling forming permissive space for asymmetric division
    Article Snippet: .. The oocytes were subsequently washed three times with PBS, stained with Hoechst 33342 (Beyotime, C1025, 1:100) for 3 min at room temperature and washed again with PBS. ..

    Article Title: Enolase 1 inhibition potentiates sorafenib efficacy in hepatocellular carcinoma through ferroptosis induction.
    Article Snippet: Enolase 1 (ENO1) is overexpressed in hepatocellular carcinoma (HCC) and correlates with poor patient prognosis, as evidenced by TCGA and Kaplan-Meier (KM) analysis.. This study demonstrates that targeting ENO1 with its specific inhibitor, ENOblock, markedly enhances the antitumor efficacy of sorafenib in HCC cells.. The combination of sorafenib and ENOblock significantly suppresses cell proliferation, migration, invasion, and angiogenesis in vitro and in vivo.

    Article Title: SATB1 lowers the T cell receptor signaling threshold for thymocyte positive selection via super-enhancer reprogramming.
    Article Snippet: Transfection by jetPRIME Transfection Reagent (Polyplus Transfection, 114-15) was used in all the transient transfection, 500ng plasmids were transfected into cells at 70% confluency that had been plated in the 24-well glass-bottom plates for more than 24 h. Medium carrying transfection reagents was replaced with normal growthmedium 6–8 h after transfection. .. And stained with 10 μg/ml Hoechst (Beyotime, 33342) for 30min before observation. .. Then observed on confocal microscopy (Carl Zeiss, LSM 880 with Airyscan or Nikon A1 R) with a 100x objective.

    Incubation:

    Article Title: Thioredoxin‐2 Alleviates Osteoporosis by Restraining FOXO3a Nuclear Translocation
    Article Snippet: .. Twenty‐four hours after transfection, cells were incubated with MitoTracker Deep Red (Thermo Fisher Scientific, A66440) and Hoechst 33342 (Beyotime, C1022) at 37°C for 30 min to label mitochondria and nuclei, respectively. .. Cells were then fixed with 4% paraformaldehyde for 15 min. To assess the effect of TRX2 on FOXO3a localization, cells were transfected with TRX2 siRNA (siTRX2; target sequence: 5′‐GGATGGACCTGACTTTCAA‐3′) or a non‐targeting control siRNA (siCon) at a final concentration of 100 n m using Lipofectamine RNAiMAX (Thermo Fisher Scientific, 13778150) for 48 h. After mitochondrial labeling with MitoTracker Deep Red, endogenous FOXO3a was detected by immunofluorescence staining with an anti‐FOXO3a primary antibody (1:300, Proteintech, 10849‐1‐AP) and an Alexa Fluor 488–conjugated secondary antibody.

    Fluorescence:

    Article Title: Enolase 1 inhibition potentiates sorafenib efficacy in hepatocellular carcinoma through ferroptosis induction.
    Article Snippet: Enolase 1 (ENO1) is overexpressed in hepatocellular carcinoma (HCC) and correlates with poor patient prognosis, as evidenced by TCGA and Kaplan-Meier (KM) analysis.. This study demonstrates that targeting ENO1 with its specific inhibitor, ENOblock, markedly enhances the antitumor efficacy of sorafenib in HCC cells.. The combination of sorafenib and ENOblock significantly suppresses cell proliferation, migration, invasion, and angiogenesis in vitro and in vivo.

    Microscopy:

    Article Title: Enolase 1 inhibition potentiates sorafenib efficacy in hepatocellular carcinoma through ferroptosis induction.
    Article Snippet: Enolase 1 (ENO1) is overexpressed in hepatocellular carcinoma (HCC) and correlates with poor patient prognosis, as evidenced by TCGA and Kaplan-Meier (KM) analysis.. This study demonstrates that targeting ENO1 with its specific inhibitor, ENOblock, markedly enhances the antitumor efficacy of sorafenib in HCC cells.. The combination of sorafenib and ENOblock significantly suppresses cell proliferation, migration, invasion, and angiogenesis in vitro and in vivo.

    Single Cell:

    Article Title: Microcapillary-assisted acoustoelectric platform for selective single-cell isolation and in situ transfection
    Article Snippet: .. For single-cell selective capture experiments, A549 cells and WBCs were pre-stained with Calcein-AM (Yeasen, China) and Hoechst 33342 (Beyotime, China), respectively, according to the manufacturer’s protocols. ..



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    Image Search Results


    RCTD integrates results of SC and ST (A) . UMAP plot of 127943 cells from single-cell samples. (B, C) Dotplot showing the marker genes for clusters. The color gradient represents the scaled expression level, and the diameter represents the percentage of cells. (B) markers of major clusters, (C) markers of macrophages. (D) H&E micrographs of infiltrative tumor (T_I), tumor core (T_C), Stroma of non-major pathologic response (S_NMPR) and Stroma of major pathologic response (MPR). (E) Cell marker gene expression levels in T_I, T_C, S_NMPR and S_MPR samples. (F, G) RCTD deconvolution results of T_I, T_C, S_NMPR and S_MPR samples. RCTD, Robust Cell Type Decomposition; SC, single-cell; ST, spatial transcriptomics.

    Journal: Frontiers in Immunology

    Article Title: Integrative multi-omics and machine learning reveals the spatial niche distribution and role of CYP27A1 + TAMs in immunotherapy response in non-small cell lung cancer

    doi: 10.3389/fimmu.2026.1782545

    Figure Lengend Snippet: RCTD integrates results of SC and ST (A) . UMAP plot of 127943 cells from single-cell samples. (B, C) Dotplot showing the marker genes for clusters. The color gradient represents the scaled expression level, and the diameter represents the percentage of cells. (B) markers of major clusters, (C) markers of macrophages. (D) H&E micrographs of infiltrative tumor (T_I), tumor core (T_C), Stroma of non-major pathologic response (S_NMPR) and Stroma of major pathologic response (MPR). (E) Cell marker gene expression levels in T_I, T_C, S_NMPR and S_MPR samples. (F, G) RCTD deconvolution results of T_I, T_C, S_NMPR and S_MPR samples. RCTD, Robust Cell Type Decomposition; SC, single-cell; ST, spatial transcriptomics.

    Article Snippet: In the Human Protein Atlas single-cell clustering, CYP27A1 is part of cluster 58 (Macrophages - Innate immune response) with a confidence score of 1 ( ). (Confidence is the fraction of times a gene was assigned to the cluster in repeated clustering, and therefore reflects how strongly associated it is to the cluster.

    Techniques: Single Cell, Marker, Expressing, Gene Expression, Spatial Transcriptomics

    The tumor niche uncovers key cells and genes involved in tumor progression (A) . Box line plots comparing scaled ssGSEA scores for gene sets between CC1, CC2, CC3 and CC5 ecotypes. Gene set construction from single-cell samples. Use the Wilcoxon rank-sum test to compare component differences across the four groups. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001 (B) Dotplot shows cell communication in CC4. (C) Cnetplot shows cell communication in CC4. (D) Spatial feature plot shows spatial ecotypes and malignant in T_I_2, Arrow indicates spatial trajectories. (E) GSVA scores of the HALLMARK gene sets along the spatial trajectory in T_I_2. Different colors of the trajectories indicate the different ecological niches they occupy. (F) The expression levels of key genes involved in CC6 communication in ST samples, with arrows representing the spatial trajectories. (G) Trends in gene expression of the key genes involved in CC6 communication.

    Journal: Frontiers in Immunology

    Article Title: Integrative multi-omics and machine learning reveals the spatial niche distribution and role of CYP27A1 + TAMs in immunotherapy response in non-small cell lung cancer

    doi: 10.3389/fimmu.2026.1782545

    Figure Lengend Snippet: The tumor niche uncovers key cells and genes involved in tumor progression (A) . Box line plots comparing scaled ssGSEA scores for gene sets between CC1, CC2, CC3 and CC5 ecotypes. Gene set construction from single-cell samples. Use the Wilcoxon rank-sum test to compare component differences across the four groups. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001 (B) Dotplot shows cell communication in CC4. (C) Cnetplot shows cell communication in CC4. (D) Spatial feature plot shows spatial ecotypes and malignant in T_I_2, Arrow indicates spatial trajectories. (E) GSVA scores of the HALLMARK gene sets along the spatial trajectory in T_I_2. Different colors of the trajectories indicate the different ecological niches they occupy. (F) The expression levels of key genes involved in CC6 communication in ST samples, with arrows representing the spatial trajectories. (G) Trends in gene expression of the key genes involved in CC6 communication.

    Article Snippet: In the Human Protein Atlas single-cell clustering, CYP27A1 is part of cluster 58 (Macrophages - Innate immune response) with a confidence score of 1 ( ). (Confidence is the fraction of times a gene was assigned to the cluster in repeated clustering, and therefore reflects how strongly associated it is to the cluster.

    Techniques: Single Cell, Expressing, Gene Expression

    The tumor niche uncovers key cells and genes involved in tumor progression (A) . Box plots illustrating the proportions of various macrophage subtypes in single-cell samples before and after immunochemotherapy, as well as under different pathological response conditions. (Wilcoxon test) (B) Heatmap of genesets from KEGG for scaled GSVA across macrophages. (C) . In the TCGA_LUAD dataset, patients were divided into high and low CYP27A1 expression groups based on the median expression level. The OS of patients in these two groups was then compared. OS, overall survival (D) The difference in the overall survival rates between patients with high and low CYP27A1 + TAMs scores (log-rank test). (E) Display the distribution of different macrophage cell states among pCR patients using Monocle 2. (F) In pCR patients, macrophage state calculated by monocle2. (G) Heatmap showing gene expression changes across two clusters during pseudotime progression, with clusters annotated on the left. (H) Gene Ontology (GO) enrichment analysis of differentially expressed genes across clusters.

    Journal: Frontiers in Immunology

    Article Title: Integrative multi-omics and machine learning reveals the spatial niche distribution and role of CYP27A1 + TAMs in immunotherapy response in non-small cell lung cancer

    doi: 10.3389/fimmu.2026.1782545

    Figure Lengend Snippet: The tumor niche uncovers key cells and genes involved in tumor progression (A) . Box plots illustrating the proportions of various macrophage subtypes in single-cell samples before and after immunochemotherapy, as well as under different pathological response conditions. (Wilcoxon test) (B) Heatmap of genesets from KEGG for scaled GSVA across macrophages. (C) . In the TCGA_LUAD dataset, patients were divided into high and low CYP27A1 expression groups based on the median expression level. The OS of patients in these two groups was then compared. OS, overall survival (D) The difference in the overall survival rates between patients with high and low CYP27A1 + TAMs scores (log-rank test). (E) Display the distribution of different macrophage cell states among pCR patients using Monocle 2. (F) In pCR patients, macrophage state calculated by monocle2. (G) Heatmap showing gene expression changes across two clusters during pseudotime progression, with clusters annotated on the left. (H) Gene Ontology (GO) enrichment analysis of differentially expressed genes across clusters.

    Article Snippet: In the Human Protein Atlas single-cell clustering, CYP27A1 is part of cluster 58 (Macrophages - Innate immune response) with a confidence score of 1 ( ). (Confidence is the fraction of times a gene was assigned to the cluster in repeated clustering, and therefore reflects how strongly associated it is to the cluster.

    Techniques: Single Cell, Expressing, Gene Expression

    Immunotherapy enhances the function of CYP27A1 + TAMs through LXR upregulation (A) . Heatmap of genesets from KEGG for scaled GSVA across macrophages, with samples grouped into pre-treatment and post-treatment conditions. (B) Volcano plot displaying differentially expressed genes in CYP27A1 + TAMs between non-treatment (NT) and post-treatment (PT) conditions. (C, D) Spatial distribution of CYP27A1 + TAMs with high vs. low LXR expression in stromal samples. (E, F) Distribution of tumor cells and CYP27A1 + TAMs with high vs. low LXR expression in T_C and T_I samples. (G) Distribution of CD8 + T cells and CYP27A1 + TAMs with high vs. low LXR expression in stromal samples. (H) Correlation between CD8 + T cells and CYP27A1 + TAMs with high vs. low LXR expression in single-cell samples (Pearson’s correlation test). (I) Correlation between CD8 + T cells and CYP27A1 + TAMs with high vs. low LXR expression in TCGA LUAD cohort (Pearson’s correlation test). (J) Heatmap showing co-localization intensity of different cell types within spots (intra view); darker colors indicate higher co-localization intensity.

    Journal: Frontiers in Immunology

    Article Title: Integrative multi-omics and machine learning reveals the spatial niche distribution and role of CYP27A1 + TAMs in immunotherapy response in non-small cell lung cancer

    doi: 10.3389/fimmu.2026.1782545

    Figure Lengend Snippet: Immunotherapy enhances the function of CYP27A1 + TAMs through LXR upregulation (A) . Heatmap of genesets from KEGG for scaled GSVA across macrophages, with samples grouped into pre-treatment and post-treatment conditions. (B) Volcano plot displaying differentially expressed genes in CYP27A1 + TAMs between non-treatment (NT) and post-treatment (PT) conditions. (C, D) Spatial distribution of CYP27A1 + TAMs with high vs. low LXR expression in stromal samples. (E, F) Distribution of tumor cells and CYP27A1 + TAMs with high vs. low LXR expression in T_C and T_I samples. (G) Distribution of CD8 + T cells and CYP27A1 + TAMs with high vs. low LXR expression in stromal samples. (H) Correlation between CD8 + T cells and CYP27A1 + TAMs with high vs. low LXR expression in single-cell samples (Pearson’s correlation test). (I) Correlation between CD8 + T cells and CYP27A1 + TAMs with high vs. low LXR expression in TCGA LUAD cohort (Pearson’s correlation test). (J) Heatmap showing co-localization intensity of different cell types within spots (intra view); darker colors indicate higher co-localization intensity.

    Article Snippet: In the Human Protein Atlas single-cell clustering, CYP27A1 is part of cluster 58 (Macrophages - Innate immune response) with a confidence score of 1 ( ). (Confidence is the fraction of times a gene was assigned to the cluster in repeated clustering, and therefore reflects how strongly associated it is to the cluster.

    Techniques: Expressing, Single Cell

    External Cohort Validation of CYP27A1 + TAMs Function (A) . UMAP plot of 201,003 cells from the single-cell cohort GSE131907 . (B) Heatmap of genesets from KEGG for scaled GSVA across macrophages ranked by CYP27A1 expression in GSE131907 . (C) Spatial feature plot showing the spatial localization of CD8A, CD8B, and CYP27A1 genes in an E-MTAB-13530 sample. Gene expression values were normalized using SCTransform. (D) Schematic of co-localization strength for Misty cell types from an intra-perspective in E-MTAB-13530, with a cutoff threshold set at 1.5. (E) UMAP plot displaying major cell types and treatment response for 33,443 cells from GSE233203 . R: responder, NR: non-responder. (F) Heatmap of genesets from KEGG for scaled GSVA across macrophages ranked by CYP27A1 expression in GSE223203 . (G) Spatial feature plot illustrating the spatial distribution of different cell types in a sample from GSE267960 . (H) Bubble plot showing the distribution of CYP27A1 gene expression across various tissues and cell types based on data from the Human Protein Atlas. (I) Dendrogram displaying GO pathways enriched with specific genes from cluster 58.

    Journal: Frontiers in Immunology

    Article Title: Integrative multi-omics and machine learning reveals the spatial niche distribution and role of CYP27A1 + TAMs in immunotherapy response in non-small cell lung cancer

    doi: 10.3389/fimmu.2026.1782545

    Figure Lengend Snippet: External Cohort Validation of CYP27A1 + TAMs Function (A) . UMAP plot of 201,003 cells from the single-cell cohort GSE131907 . (B) Heatmap of genesets from KEGG for scaled GSVA across macrophages ranked by CYP27A1 expression in GSE131907 . (C) Spatial feature plot showing the spatial localization of CD8A, CD8B, and CYP27A1 genes in an E-MTAB-13530 sample. Gene expression values were normalized using SCTransform. (D) Schematic of co-localization strength for Misty cell types from an intra-perspective in E-MTAB-13530, with a cutoff threshold set at 1.5. (E) UMAP plot displaying major cell types and treatment response for 33,443 cells from GSE233203 . R: responder, NR: non-responder. (F) Heatmap of genesets from KEGG for scaled GSVA across macrophages ranked by CYP27A1 expression in GSE223203 . (G) Spatial feature plot illustrating the spatial distribution of different cell types in a sample from GSE267960 . (H) Bubble plot showing the distribution of CYP27A1 gene expression across various tissues and cell types based on data from the Human Protein Atlas. (I) Dendrogram displaying GO pathways enriched with specific genes from cluster 58.

    Article Snippet: In the Human Protein Atlas single-cell clustering, CYP27A1 is part of cluster 58 (Macrophages - Innate immune response) with a confidence score of 1 ( ). (Confidence is the fraction of times a gene was assigned to the cluster in repeated clustering, and therefore reflects how strongly associated it is to the cluster.

    Techniques: Biomarker Discovery, Single Cell, Expressing, Gene Expression