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GSEA of KEGG pathways and canonical pathways analysis in the DRG tissues post-surgery. Ranked by NES score, the selected six of top 20 enriched KEGG pathways were the Adherens Junction (a), JAK-STAT (d), NOD like receptor (g), Apoptosis (j), WNT (m), and MAPK (p) signaling pathways. The heat maps showing the dynamic expression of the core enrichment genes involved in these signaling pathways (b, e, h, k, n, q). The PPI network shows the interaction of the proteins involved in the above signaling pathways (c, f, i, l, o, r). The enrichment heat-map showing the dynamic activity of canonical pathways at 6 h, 12 h, 1 d, 4 d, 7 d, and 14 d post-surgery (s). Each pathway is depicted with a pseudo color (orange for an activated pathway with positive Z-score ≥2, blue for an inhibited pathway with negative Z-score ≤−2, and spot for a non-active pathway with −2 ≤ Z-score ≤2). The canonical pathways were classified into different types according to the <t>IPA</t> database. <t>IPA,</t> <t>Ingenuity</t> Pathway Analysis. GSEA, gene set enrichment analysis; NES, normalized enrichment score; PPI, protein–protein interaction. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Ingenuity Pathway Analysis Ipa Software Suite, supplied by Ingenuity Systems, 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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GSEA of KEGG pathways and canonical pathways analysis in the DRG tissues post-surgery. Ranked by NES score, the selected six of top 20 enriched KEGG pathways were the Adherens Junction (a), JAK-STAT (d), NOD like receptor (g), Apoptosis (j), WNT (m), and MAPK (p) signaling pathways. The heat maps showing the dynamic expression of the core enrichment genes involved in these signaling pathways (b, e, h, k, n, q). The PPI network shows the interaction of the proteins involved in the above signaling pathways (c, f, i, l, o, r). The enrichment heat-map showing the dynamic activity of canonical pathways at 6 h, 12 h, 1 d, 4 d, 7 d, and 14 d post-surgery (s). Each pathway is depicted with a pseudo color (orange for an activated pathway with positive Z-score ≥2, blue for an inhibited pathway with negative Z-score ≤−2, and spot for a non-active pathway with −2 ≤ Z-score ≤2). The canonical pathways were classified into different types according to the <t>IPA</t> database. <t>IPA,</t> <t>Ingenuity</t> Pathway Analysis. GSEA, gene set enrichment analysis; NES, normalized enrichment score; PPI, protein–protein interaction. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
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GSEA of KEGG pathways and canonical pathways analysis in the DRG tissues post-surgery. Ranked by NES score, the selected six of top 20 enriched KEGG pathways were the Adherens Junction (a), JAK-STAT (d), NOD like receptor (g), Apoptosis (j), WNT (m), and MAPK (p) signaling pathways. The heat maps showing the dynamic expression of the core enrichment genes involved in these signaling pathways (b, e, h, k, n, q). The PPI network shows the interaction of the proteins involved in the above signaling pathways (c, f, i, l, o, r). The enrichment heat-map showing the dynamic activity of canonical pathways at 6 h, 12 h, 1 d, 4 d, 7 d, and 14 d post-surgery (s). Each pathway is depicted with a pseudo color (orange for an activated pathway with positive Z-score ≥2, blue for an inhibited pathway with negative Z-score ≤−2, and spot for a non-active pathway with −2 ≤ Z-score ≤2). The canonical pathways were classified into different types according to the <t>IPA</t> database. <t>IPA,</t> <t>Ingenuity</t> Pathway Analysis. GSEA, gene set enrichment analysis; NES, normalized enrichment score; PPI, protein–protein interaction. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
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GSEA of KEGG pathways and canonical pathways analysis in the DRG tissues post-surgery. Ranked by NES score, the selected six of top 20 enriched KEGG pathways were the Adherens Junction (a), JAK-STAT (d), NOD like receptor (g), Apoptosis (j), WNT (m), and MAPK (p) signaling pathways. The heat maps showing the dynamic expression of the core enrichment genes involved in these signaling pathways (b, e, h, k, n, q). The PPI network shows the interaction of the proteins involved in the above signaling pathways (c, f, i, l, o, r). The enrichment heat-map showing the dynamic activity of canonical pathways at 6 h, 12 h, 1 d, 4 d, 7 d, and 14 d post-surgery (s). Each pathway is depicted with a pseudo color (orange for an activated pathway with positive Z-score ≥2, blue for an inhibited pathway with negative Z-score ≤−2, and spot for a non-active pathway with −2 ≤ Z-score ≤2). The canonical pathways were classified into different types according to the <t>IPA</t> database. <t>IPA,</t> <t>Ingenuity</t> Pathway Analysis. GSEA, gene set enrichment analysis; NES, normalized enrichment score; PPI, protein–protein interaction. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
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GSEA of KEGG pathways and canonical pathways analysis in the DRG tissues post-surgery. Ranked by NES score, the selected six of top 20 enriched KEGG pathways were the Adherens Junction (a), JAK-STAT (d), NOD like receptor (g), Apoptosis (j), WNT (m), and MAPK (p) signaling pathways. The heat maps showing the dynamic expression of the core enrichment genes involved in these signaling pathways (b, e, h, k, n, q). The PPI network shows the interaction of the proteins involved in the above signaling pathways (c, f, i, l, o, r). The enrichment heat-map showing the dynamic activity of canonical pathways at 6 h, 12 h, 1 d, 4 d, 7 d, and 14 d post-surgery (s). Each pathway is depicted with a pseudo color (orange for an activated pathway with positive Z-score ≥2, blue for an inhibited pathway with negative Z-score ≤−2, and spot for a non-active pathway with −2 ≤ Z-score ≤2). The canonical pathways were classified into different types according to the <t>IPA</t> database. <t>IPA,</t> <t>Ingenuity</t> Pathway Analysis. GSEA, gene set enrichment analysis; NES, normalized enrichment score; PPI, protein–protein interaction. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
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Mendeley Ltd original ingenuity pathway analysis data
Lactiplantibacillus plantarum EP21 membrane vesicles containing miRNAs modify inflammation and ubiquitination pathways. (a) <t>Ingenuity</t> <t>pathway</t> <t>analysis</t> identified the gene networks associated with inflammation and ubiquitination pathways. (b) The levels of genes associated with ubiquitination, specifically TNF alpha induced protein 3 (TNFAIP3), TNFAIP3-interacting protein 1 (TINP1), and Tax1 binding protein 1 (TAX1BP1), were significantly elevated in RPE-1 cells following treatment with EP21 MV. NC refers to the negative control condition. (c) Total protein was extracted from the retina of eyes subjected to negative control, transforming growth factor β2 (TGF-β2), and EP21 MVs treatment, and the extent of protein ubiquitination was assessed using western blot analysis. (d) RPE-1 cells underwent treatment with tumor necrosis factor (TNF) α, transfection with miRNAs or co-treatment with TNFα and miRNAs for a duration of 24 hours. The level of protein ubiquitination was evaluated through western blotting. Poly-ub: polyubiquitinated protein; free-ub: free ubiquitin. Relative free ubiquitin expression levels were determined using image J software. Relative expression levels (below the lanes) were normalized to glyceraldehyde-3-phosphate dehydrogenase (GAPDH).
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GSEA of KEGG pathways and canonical pathways analysis in the DRG tissues post-surgery. Ranked by NES score, the selected six of top 20 enriched KEGG pathways were the Adherens Junction (a), JAK-STAT (d), NOD like receptor (g), Apoptosis (j), WNT (m), and MAPK (p) signaling pathways. The heat maps showing the dynamic expression of the core enrichment genes involved in these signaling pathways (b, e, h, k, n, q). The PPI network shows the interaction of the proteins involved in the above signaling pathways (c, f, i, l, o, r). The enrichment heat-map showing the dynamic activity of canonical pathways at 6 h, 12 h, 1 d, 4 d, 7 d, and 14 d post-surgery (s). Each pathway is depicted with a pseudo color (orange for an activated pathway with positive Z-score ≥2, blue for an inhibited pathway with negative Z-score ≤−2, and spot for a non-active pathway with −2 ≤ Z-score ≤2). The canonical pathways were classified into different types according to the IPA database. IPA, Ingenuity Pathway Analysis. GSEA, gene set enrichment analysis; NES, normalized enrichment score; PPI, protein–protein interaction. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Journal: Journal of Advanced Research

Article Title: Dynamic molecular landscape in dorsal root ganglion for peripheral nerve regeneration promoted by tissue engineered nerve graft

doi: 10.1016/j.jare.2025.07.059

Figure Lengend Snippet: GSEA of KEGG pathways and canonical pathways analysis in the DRG tissues post-surgery. Ranked by NES score, the selected six of top 20 enriched KEGG pathways were the Adherens Junction (a), JAK-STAT (d), NOD like receptor (g), Apoptosis (j), WNT (m), and MAPK (p) signaling pathways. The heat maps showing the dynamic expression of the core enrichment genes involved in these signaling pathways (b, e, h, k, n, q). The PPI network shows the interaction of the proteins involved in the above signaling pathways (c, f, i, l, o, r). The enrichment heat-map showing the dynamic activity of canonical pathways at 6 h, 12 h, 1 d, 4 d, 7 d, and 14 d post-surgery (s). Each pathway is depicted with a pseudo color (orange for an activated pathway with positive Z-score ≥2, blue for an inhibited pathway with negative Z-score ≤−2, and spot for a non-active pathway with −2 ≤ Z-score ≤2). The canonical pathways were classified into different types according to the IPA database. IPA, Ingenuity Pathway Analysis. GSEA, gene set enrichment analysis; NES, normalized enrichment score; PPI, protein–protein interaction. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Article Snippet: The Ingenuity Pathway Analysis (IPA) software suite (Ingenuity Systems, Redwood City, CA) was employed to identify canonical pathways that are significantly overrepresented.

Techniques: Protein-Protein interactions, Expressing, Activity Assay

GSEA of GO biological process gene sets in the DRG tissues post-surgery. Ranked by NES score, the selected six of top 20 enriched GO biological process gene sets were nitric oxide mediated transduction (a), central nervous system neuron axongenesis (c), positive regulation of epithelial mesenchymal transition (e), regulation of JNK cascade (j), regulation of cellular response to insulin stimulus (i), and maintenance of blood brain barrier (k). The heatmaps showing the dynamic expression of the core enrichment genes involved in these GO biological process gene sets (b, d, f, h, j, l). The enrichment heat-map showing the dynamic activity of diseases and functions at 6 h, 12 h, 1 d, 4 d, 7 d, and 14 d post-surgery (m). Each disease and function are depicted with a pseudo color (orange for an activated disease and function with positive Z-score ≥2, blue for an inhibited disease and function with negative Z-score ≤−2, and spot for a non-active disease and function with −2 ≤ Z-score ≤2). The diseases and functions were classified into different types according to the IPA database. IPA, Ingenuity Pathway Analysis. GSEA, gene set enrichment analysis; NES, normalized enrichment score; PPI, protein–protein interaction. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Journal: Journal of Advanced Research

Article Title: Dynamic molecular landscape in dorsal root ganglion for peripheral nerve regeneration promoted by tissue engineered nerve graft

doi: 10.1016/j.jare.2025.07.059

Figure Lengend Snippet: GSEA of GO biological process gene sets in the DRG tissues post-surgery. Ranked by NES score, the selected six of top 20 enriched GO biological process gene sets were nitric oxide mediated transduction (a), central nervous system neuron axongenesis (c), positive regulation of epithelial mesenchymal transition (e), regulation of JNK cascade (j), regulation of cellular response to insulin stimulus (i), and maintenance of blood brain barrier (k). The heatmaps showing the dynamic expression of the core enrichment genes involved in these GO biological process gene sets (b, d, f, h, j, l). The enrichment heat-map showing the dynamic activity of diseases and functions at 6 h, 12 h, 1 d, 4 d, 7 d, and 14 d post-surgery (m). Each disease and function are depicted with a pseudo color (orange for an activated disease and function with positive Z-score ≥2, blue for an inhibited disease and function with negative Z-score ≤−2, and spot for a non-active disease and function with −2 ≤ Z-score ≤2). The diseases and functions were classified into different types according to the IPA database. IPA, Ingenuity Pathway Analysis. GSEA, gene set enrichment analysis; NES, normalized enrichment score; PPI, protein–protein interaction. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Article Snippet: The Ingenuity Pathway Analysis (IPA) software suite (Ingenuity Systems, Redwood City, CA) was employed to identify canonical pathways that are significantly overrepresented.

Techniques: Transduction, Expressing, Activity Assay

GSEA of GO cellular component, molecular function, and upstream regulators prediction in the DRG tissues post-surgery. Ranked by NES score, the selected three of top 20 enriched GO cellular component gene sets were cytoplasmic stress granule (a), P body (c), actin-based cell projection (e), the selected three of top 20 enriched GO molecular function gene sets were ATPase binding (g), kinase inhibitor activity (i), and Smad binding (k). The heatmaps showing the dynamic expression of the core enrichment genes involved in these GO cellular component (b, d, f) and molecular function (h, j, l) gene sets. The enrichment heatmap showing the predicted upstream regulators at 6 h, 12 h, 1 d, 4 d, 7 d, and 14 d post-surgery (m). Each predicted upstream regulator is depicted with a pseudo color (orange for an activated upstream regulator with positive Z-score ≥2, blue for an inhibited upstream regulator with negative Z-score ≤−2, and spot for a non-active upstream regulator with −2 ≤ Z-score ≤2). The predicted upstream regulators were classified into different types according to the IPA database. IPA, Ingenuity Pathway Analysis. GSEA, gene set enrichment analysis; NES, normalized enrichment score; PPI, protein–protein interaction. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Journal: Journal of Advanced Research

Article Title: Dynamic molecular landscape in dorsal root ganglion for peripheral nerve regeneration promoted by tissue engineered nerve graft

doi: 10.1016/j.jare.2025.07.059

Figure Lengend Snippet: GSEA of GO cellular component, molecular function, and upstream regulators prediction in the DRG tissues post-surgery. Ranked by NES score, the selected three of top 20 enriched GO cellular component gene sets were cytoplasmic stress granule (a), P body (c), actin-based cell projection (e), the selected three of top 20 enriched GO molecular function gene sets were ATPase binding (g), kinase inhibitor activity (i), and Smad binding (k). The heatmaps showing the dynamic expression of the core enrichment genes involved in these GO cellular component (b, d, f) and molecular function (h, j, l) gene sets. The enrichment heatmap showing the predicted upstream regulators at 6 h, 12 h, 1 d, 4 d, 7 d, and 14 d post-surgery (m). Each predicted upstream regulator is depicted with a pseudo color (orange for an activated upstream regulator with positive Z-score ≥2, blue for an inhibited upstream regulator with negative Z-score ≤−2, and spot for a non-active upstream regulator with −2 ≤ Z-score ≤2). The predicted upstream regulators were classified into different types according to the IPA database. IPA, Ingenuity Pathway Analysis. GSEA, gene set enrichment analysis; NES, normalized enrichment score; PPI, protein–protein interaction. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Article Snippet: The Ingenuity Pathway Analysis (IPA) software suite (Ingenuity Systems, Redwood City, CA) was employed to identify canonical pathways that are significantly overrepresented.

Techniques: Binding Assay, Activity Assay, Expressing

The impact of DRG neuron axonal promotion via SKP-SCs. (a) Schematic illustration of DRG neurons culture in vitro. The cultured DRG neurons for 20 h and 40 h (b) showed increased neurite outgrowth. Scale bar: 50 μm. (c) The β-Tubulin III cell immunofluorescent staining (red) showed neurites are undergoing a process of growth in length from 48 h to 96 h. Scale bar: 50 μm. Schematic illustration showed the direct (d) and in-direct (Transwell®) (e) co-culture of DRG neurons and SKP-SCs. (h) After direct co-culture 48 h, GFP-SKP-SCs promoted DRGs neurite outgrowth significantly compared to control group (i). (k) After in-direct co-culture 72 h, GFP-SKP-SCs promoted DRGs neurite outgrowth (j) significantly compared to control group (g). Scale bar: 50 μm for f, g, i, j. (l) Morphological changes under phase contrast microscopy in DRG neurons and SKP-SCs direct co-culture, DRG neurons in separate culture, and in-direct (Transwell®) co-culture of DRG neurons and SKP-SCs after 24 h, 48 h, and 72 h. Scale bar: 100 μm. (m) Schematic illustration of LC-MS/MS analysis to identify the secreted proteins from SKP-SCs cultured in serum free basic medium for 4 h. After concentration, the cleared conditioned medium was collected for LC-MS/MS analysis, database search, and protein identification. The enrichment analysis showed top 20 diseases and functions (n) and canonical pathways (o) according to the IPA database. The PPI network shows the interaction of the proteins involved in the functions highly correlated with regeneration (p). Among them, functions as formation of lamellipodia, extension of neurites, extension of cellular protrusions, and related proteins were highlighted (q). Functions as migration of endothelial cells, development of endothelial tissue, vasculogenesis, development of epithelial tissue, endothelial cell development, and related proteins were highlighted (r). Orange nodes stand for a predicted activation state. Blue nodes stand for a predicted inhibition state. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Journal: Journal of Advanced Research

Article Title: Dynamic molecular landscape in dorsal root ganglion for peripheral nerve regeneration promoted by tissue engineered nerve graft

doi: 10.1016/j.jare.2025.07.059

Figure Lengend Snippet: The impact of DRG neuron axonal promotion via SKP-SCs. (a) Schematic illustration of DRG neurons culture in vitro. The cultured DRG neurons for 20 h and 40 h (b) showed increased neurite outgrowth. Scale bar: 50 μm. (c) The β-Tubulin III cell immunofluorescent staining (red) showed neurites are undergoing a process of growth in length from 48 h to 96 h. Scale bar: 50 μm. Schematic illustration showed the direct (d) and in-direct (Transwell®) (e) co-culture of DRG neurons and SKP-SCs. (h) After direct co-culture 48 h, GFP-SKP-SCs promoted DRGs neurite outgrowth significantly compared to control group (i). (k) After in-direct co-culture 72 h, GFP-SKP-SCs promoted DRGs neurite outgrowth (j) significantly compared to control group (g). Scale bar: 50 μm for f, g, i, j. (l) Morphological changes under phase contrast microscopy in DRG neurons and SKP-SCs direct co-culture, DRG neurons in separate culture, and in-direct (Transwell®) co-culture of DRG neurons and SKP-SCs after 24 h, 48 h, and 72 h. Scale bar: 100 μm. (m) Schematic illustration of LC-MS/MS analysis to identify the secreted proteins from SKP-SCs cultured in serum free basic medium for 4 h. After concentration, the cleared conditioned medium was collected for LC-MS/MS analysis, database search, and protein identification. The enrichment analysis showed top 20 diseases and functions (n) and canonical pathways (o) according to the IPA database. The PPI network shows the interaction of the proteins involved in the functions highly correlated with regeneration (p). Among them, functions as formation of lamellipodia, extension of neurites, extension of cellular protrusions, and related proteins were highlighted (q). Functions as migration of endothelial cells, development of endothelial tissue, vasculogenesis, development of epithelial tissue, endothelial cell development, and related proteins were highlighted (r). Orange nodes stand for a predicted activation state. Blue nodes stand for a predicted inhibition state. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Article Snippet: The Ingenuity Pathway Analysis (IPA) software suite (Ingenuity Systems, Redwood City, CA) was employed to identify canonical pathways that are significantly overrepresented.

Techniques: In Vitro, Cell Culture, Staining, Co-Culture Assay, Control, Microscopy, Liquid Chromatography with Mass Spectroscopy, Concentration Assay, Migration, Activation Assay, Inhibition

The transcriptional alteration of DRG neurons co-cultured with SKP-SCs. (a) Representative images of phase contrast microscopy of SKP-SCs in the upper chamber and lower ventricular DRG neurons after 48 h co-culture. Scale bar: 100 μm. (b) Schematic illustration of transcriptional analysis of lower ventricular DRG neurons for 48 h co-culture, and bioinformatics. The enrichment analysis showed top 20 diseases and functions (c) and canonical pathways (d) according to the IPA database. The PPI network shows the interaction of the key proteins involved in the functions highly correlated with regeneration (e). Up-regulated EGR2 (red) was selected to show multi-functions highly correlated with neuroregeneration (f). The interaction network of downstream regulators of EGR2, its downstream up-regulated (red) genes and down-regulated (green) proteins and their functions (g). Orange nodes stand for a predicted activation state. Blue nodes stand for a predicted inhibition state. Color intensity of the nodes in networks were proportional to differentially expression level. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Journal: Journal of Advanced Research

Article Title: Dynamic molecular landscape in dorsal root ganglion for peripheral nerve regeneration promoted by tissue engineered nerve graft

doi: 10.1016/j.jare.2025.07.059

Figure Lengend Snippet: The transcriptional alteration of DRG neurons co-cultured with SKP-SCs. (a) Representative images of phase contrast microscopy of SKP-SCs in the upper chamber and lower ventricular DRG neurons after 48 h co-culture. Scale bar: 100 μm. (b) Schematic illustration of transcriptional analysis of lower ventricular DRG neurons for 48 h co-culture, and bioinformatics. The enrichment analysis showed top 20 diseases and functions (c) and canonical pathways (d) according to the IPA database. The PPI network shows the interaction of the key proteins involved in the functions highly correlated with regeneration (e). Up-regulated EGR2 (red) was selected to show multi-functions highly correlated with neuroregeneration (f). The interaction network of downstream regulators of EGR2, its downstream up-regulated (red) genes and down-regulated (green) proteins and their functions (g). Orange nodes stand for a predicted activation state. Blue nodes stand for a predicted inhibition state. Color intensity of the nodes in networks were proportional to differentially expression level. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Article Snippet: The Ingenuity Pathway Analysis (IPA) software suite (Ingenuity Systems, Redwood City, CA) was employed to identify canonical pathways that are significantly overrepresented.

Techniques: Cell Culture, Microscopy, Co-Culture Assay, Activation Assay, Inhibition, Expressing

Lactiplantibacillus plantarum EP21 membrane vesicles containing miRNAs modify inflammation and ubiquitination pathways. (a) Ingenuity pathway analysis identified the gene networks associated with inflammation and ubiquitination pathways. (b) The levels of genes associated with ubiquitination, specifically TNF alpha induced protein 3 (TNFAIP3), TNFAIP3-interacting protein 1 (TINP1), and Tax1 binding protein 1 (TAX1BP1), were significantly elevated in RPE-1 cells following treatment with EP21 MV. NC refers to the negative control condition. (c) Total protein was extracted from the retina of eyes subjected to negative control, transforming growth factor β2 (TGF-β2), and EP21 MVs treatment, and the extent of protein ubiquitination was assessed using western blot analysis. (d) RPE-1 cells underwent treatment with tumor necrosis factor (TNF) α, transfection with miRNAs or co-treatment with TNFα and miRNAs for a duration of 24 hours. The level of protein ubiquitination was evaluated through western blotting. Poly-ub: polyubiquitinated protein; free-ub: free ubiquitin. Relative free ubiquitin expression levels were determined using image J software. Relative expression levels (below the lanes) were normalized to glyceraldehyde-3-phosphate dehydrogenase (GAPDH).

Journal: Gut Microbes

Article Title: Harnessing Lactiplantibacillus plantarum EP21 and its membrane vesicles to inhibit myopia development

doi: 10.1080/19490976.2025.2534677

Figure Lengend Snippet: Lactiplantibacillus plantarum EP21 membrane vesicles containing miRNAs modify inflammation and ubiquitination pathways. (a) Ingenuity pathway analysis identified the gene networks associated with inflammation and ubiquitination pathways. (b) The levels of genes associated with ubiquitination, specifically TNF alpha induced protein 3 (TNFAIP3), TNFAIP3-interacting protein 1 (TINP1), and Tax1 binding protein 1 (TAX1BP1), were significantly elevated in RPE-1 cells following treatment with EP21 MV. NC refers to the negative control condition. (c) Total protein was extracted from the retina of eyes subjected to negative control, transforming growth factor β2 (TGF-β2), and EP21 MVs treatment, and the extent of protein ubiquitination was assessed using western blot analysis. (d) RPE-1 cells underwent treatment with tumor necrosis factor (TNF) α, transfection with miRNAs or co-treatment with TNFα and miRNAs for a duration of 24 hours. The level of protein ubiquitination was evaluated through western blotting. Poly-ub: polyubiquitinated protein; free-ub: free ubiquitin. Relative free ubiquitin expression levels were determined using image J software. Relative expression levels (below the lanes) were normalized to glyceraldehyde-3-phosphate dehydrogenase (GAPDH).

Article Snippet: Original Ingenuity Pathway Analysis data have been deposited at Mendeley at [DOI: 10.17632/38wctrkx3h.1] and are publicly available as of the date of publication.

Techniques: Membrane, Ubiquitin Proteomics, Binding Assay, Negative Control, Western Blot, Transfection, Expressing, Software