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GeneGo Inc ingenuity pathway software
Ingenuity Pathway Software, supplied by GeneGo Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/ipa+software/ingenuity+pathway+analysis++ipa++software/pm26136374-253-17-14
Average 90 stars, based on 1 article reviews

ingenuity pathway software - by Bioz Stars, 2026-09

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Article Title: A Positive Regulatory Feedback Loop between EKLF/KLF1 and TAL1/SCL Sustaining the Erythropoiesis
Article Snippet: Previous reports by others using the Ingenuity Pathway analysis (IPA) and GeneGo MetaCore analysis platform showed that EKLF target genes were associated with a variety of cellular activities or pathways, including general cellular metabolism, cell maintenance, cell cycle control, DNA replication, general cell development, and the development of a hematologic system [ , ].

Article Title: Integrated proteomics and metabolomics analyses reveal new insights into the antitumor effects of valproic acid plus simvastatin combination in a prostate cancer xenograft model associated with downmodulation of YAP/TAZ signaling.
Article Snippet: The networks between MS-identified proteins whose expression levels changed were obtained using Ingenuity Pathway Analysis (IPA) software (GeneGo Inc., St. Joseph, MI, USA), which visualizes proteins as hubs and the relationships between proteins as edges.

Article Title: Novel pathways involved in cisplatin resistance identified by a proteomics approach in non-small-cell lung cancer cells.
Article Snippet: Funding information Italian Minister of Health, Grant/Award Number: Ricerca Corrente Grant; Associazione Italiana per la Ricerca sul Cancro, Grant/Award Numbers: id 211, MSR is supported by a Triennal Fellowship Abstract Although platinum‐based chemotherapy remains the standard‐of‐care for most patients with advanced non‐small‐cell lung cancer (NSCLC), acquired resistance occurs frequently predicting poor prognosis.. To examine the mechanisms underlying platinum resistance, we have generated and characterized by proteomic approach the resistant A549 CDDP‐resistant (CPr‐A549) and their parental A549 cells, identifying 15 proteins differentially expressed (13 upregulated and 2 downregulated in CPr‐ A549).. In details, we highlighted a coherent network of proteins clustering together and involved in altered protein folding and endoplasmic reticulum stress, correlated with epithelial to mesenchymal transition process and cancer stem cell markers, where vimentin played a hierarchical role, ultimately resulting in increased aggressive features.

Article Title: Genomic profiling of a collection of patient-derived xenografts and cell lines identified ixabepilone as an active drug against chemo-resistant osteosarcoma.
Article Snippet: The networks between identified targets were obtained using Ingenuity Pathway Analysis (IPA) software (GeneGo Inc., RRID: SCR_008653), which visualizes proteins as hubs and the relationships between proteins as edges.

Article Title: Integrated proteomics and metabolomics analysis reveals new insight into the synergistic antitumor effect of valproic acid plus simvastatin in prostate cancer xenograft model associated with downmodulation of YAP/TAZ signaling
Article Snippet: The networks between MSidenti ed proteins, whose expression changes, were obtained by (Ingenuity Pathway Analysis) IPA software (GeneGo Inc., St. Joseph, MI, USA) visualizing proteins as hubs and the relationship between proteins as edges.

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Article Title: Proteomic analysis of seminal plasma from bilateral varicocele patients indicates an oxidative state and increased inflammatory response
Article Snippet: .. DEPs identified in two different comparisons were subjected to functional annotation and enrichment analysis using publicly available bioinformatic annotation tools; databases such as UniProt, Reactome, and Database for Annotation Visualization and Integrated Discovery (DAVID; http://david.niaid.nih.gov ); and proprietary-curated databases such as Ingenuity pathway analysis (IPA) and MetacoreTM (GeneGo Inc., St. Joseph, MI, USA) to analyze the involvement of DEPs in biological and cellular processes, pathways, cellular distribution, regulatory networks, and protein–protein interactions. ..

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Article Title: Brahma is required for cell cycle arrest and late muscle gene expression during skeletal myogenesis.
Article Snippet: BeadChips were scanned with an Illumina BeadArray Reader. .. These genes were analyzed for the presence of over-represented GO categories (Biological Process) and GeneGo processes importing normalized data into Ingenuity pathway software from GeneGo Inc. All RNA interference experiments were performed in duplicate and only those genes with a fold change of at least 1.3 present in duplicate experiments of RNAi for Brm or Brg1 were considered. .. These genes were analyzed for the presence of over-represented GO categories (Biological Process) and GeneGo processes using Ingenuity pathway software.

Article Title: Brahma is required for cell cycle arrest and late muscle gene expression during skeletal myogenesis.
Article Snippet: These genes were analyzed for the presence of over-represented GO categories (Biological Process) and GeneGo processes importing normalized data into Ingenuity pathway software from GeneGo Inc. All RNA interference experiments were performed in duplicate and only those genes with a fold change of at least 1.3 present in duplicate experiments of RNAi for Brm or Brg1 were considered. .. These genes were analyzed for the presence of over-represented GO categories (Biological Process) and GeneGo processes using Ingenuity pathway software. .. The data discussed in this publication have been deposited in NCBI’s Gene Expression Omnibus and are accessible through GEO Series accession number GSE44993 (http://www.ncbi.nlm.nih.gov/ geo/query/acc.cgi?acc=GSE44993). qRT–PCR Total RNA was extracted with TRIzol and retrotranscribed using the Taqman reverse transcription kit (Applied Biosystems).

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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

Purified CD4 + T cells from HDs ( n = 3) and patients with acute ATL ( n = 5) were stimulated with anti-CD3 and anti-CD28 in presence of IL-2 for 4 hours at 37°C. The cells were harvested and subjected to scRNA-seq. ( A ) Schematic representation of the experimental setup for ( B to H ). Created in BioRender. S. Roy (2025) https://BioRender.com/9zdi679 . (B) Uniform Manifold Approximation and Projection (UMAP) plot showing all cells split by HD cells (left) and ATL cells (right). (C) Bar plot showing proportion of the cells in each cluster annotated by Azimuth for each HD and ATL sample. (D) UMAP plot showing distribution of T reg cells split by HD cells (left) and ATL cells (right). (E) Violin plot showing PRDM1 expression in T reg cells in HDs and patients with ATL. (F) UMAP plot showing distribution of PRDM1 − versus PRDM1 + T reg populations in HDs and patients with ATL. (G) Pie chart showing percentage of cells in HDs and patients with ATL that express any amount of PRDM1 . (H) Bar plot showing top pathways (by z score) from Qiagen IPA using differentially expressed genes derived from PRDM1 − versus PRDM1 + populations within T reg cells cluster in patients with ATL.

Journal: Science Advances

Article Title: BLIMP1 negatively regulates IL-2 signaling in T cells

doi: 10.1126/sciadv.adx8105

Figure Lengend Snippet: Purified CD4 + T cells from HDs ( n = 3) and patients with acute ATL ( n = 5) were stimulated with anti-CD3 and anti-CD28 in presence of IL-2 for 4 hours at 37°C. The cells were harvested and subjected to scRNA-seq. ( A ) Schematic representation of the experimental setup for ( B to H ). Created in BioRender. S. Roy (2025) https://BioRender.com/9zdi679 . (B) Uniform Manifold Approximation and Projection (UMAP) plot showing all cells split by HD cells (left) and ATL cells (right). (C) Bar plot showing proportion of the cells in each cluster annotated by Azimuth for each HD and ATL sample. (D) UMAP plot showing distribution of T reg cells split by HD cells (left) and ATL cells (right). (E) Violin plot showing PRDM1 expression in T reg cells in HDs and patients with ATL. (F) UMAP plot showing distribution of PRDM1 − versus PRDM1 + T reg populations in HDs and patients with ATL. (G) Pie chart showing percentage of cells in HDs and patients with ATL that express any amount of PRDM1 . (H) Bar plot showing top pathways (by z score) from Qiagen IPA using differentially expressed genes derived from PRDM1 − versus PRDM1 + populations within T reg cells cluster in patients with ATL.

Article Snippet: Pathway enrichment analyses were conducted using Qiagen IPA software (QIAGEN Inc., https://digitalinsights.qiagen.com/IPA ) version 107193442 ( ).

Techniques: Purification, Expressing, Derivative Assay

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