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Qiagen ipa software
Ipa Software, supplied by Qiagen, 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/ipa+software/pmc12271549-249-4-6
Average 90 stars, based on 1 article reviews

ipa software - by Bioz Stars, 2026-11

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Article Title: Short-Term Severe Energy Restriction Promotes Molecular Health and Reverses Aging Signatures in Adults With Prediabetes in the PREVIEW Study.
Article Snippet: .. Alterations in canonical pathways were generated with IPA software (QIAGEN Inc., https:// www. qiage nbioi nform atics. com/ produ cts/ ingen uity- pathw ay- analysis, accessed July 2024) using the cEV proteomics dataset as an input (n = 1846 proteins), including protein identifiers (Uniprot), fold changes (post- CR/baseline), and adjusted p- values. .. IPA identified 464 analysis- ready molecules based on adj p < 0.05 and performed Core Analysis Expression Analysis based on log2(FC) values to identify significantly upregulated and downregulated canonical pathways based on Z score.

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Article Title: Comparative transcriptome profiling of the lumbosacral dorsal root ganglia reveals sexually dimorphic gene expression in a murine model of coronavirus-induced neurodegeneration
Article Snippet: .. Gene expression data were downloaded as Excel files and used to perform Ingenuity Pathway Analysis (IPA) using IPA software (Qiagen, USA). ..

Article Title: PLK4 is a potential therapeutic target in nonmelanoma skin cancers: Evidence from molecular and in vivo studies.
Article Snippet: For immunofluorescent staining, cells were plated, grown, and treated as described previously on Nunc LabTek II Chamber slides (Thermo Scientific) and stained as published previously,39 with minor changes. .. To understand the gene regulation/pathways modulated in response to PLK4 inhibition, differentially expressed genes (≥1.5- fold) were uploaded to IPA software (Qiagen) and analyzed for canonical pathways, gene interaction networks, upstream regulators, and predicted cumulative actions. .. For immunofluorescent staining, cells were plated, grown, and treated as described previously on Nunc LabTek II Chamber slides (Thermo Scientific) and stained as published previously,39 with minor changes.

Article Title: Obesity drives depot-specific vascular remodeling in male white adipose tissue.
Article Snippet: .. Ingenuity pathway analysis (IPA) was performed using IPA software (Qiagen)72. ..

Article Title: Predicting future exacerbations in uncontrolled asthma: A discovery/validation approach using large-scale clinical proteomics.
Article Snippet: Abbreviations used IPA: Ingenuity Pathway Analysis PCA: Principal component analysis SDC: Sodium deoxycholate sPLS-DA: Sparse partial least square data analysis Background: Exacerbations contribute significantly to the burden of asthma.. Some individuals are predisposed to recurring exacerbations; however, the underlying mechanisms are not well understood.. Objective: Our aim was to generate a sputum protein signature associated with future exacerbations.

Article Title: A Modular Bioinstructive Platform for Additive-Free, Topography-Driven Stem Cell Differentiation and Patterning
Article Snippet: .. Canonical pathways and upstream regulators at day 14 post-seeding were identified/predicted using IPA software (QIAGEN). ..

Article Title: Obesity drives depot-specific vascular remodeling in male white adipose tissue
Article Snippet: .. Ingenuity pathway analysis (IPA) was performed using IPA software (Qiagen) . ..

Article Title: Prenatal exposure to bisphenol A disrupts RNA splicing in the prefrontal cortex and promotes behaviors related to autism in offspring
Article Snippet: .. Gene ontology analysis using IPA software (QIAGEN Inc., Hilden, Germany) revealed significant associations between DAS genes in response to prenatal BPA exposure and numerous pathways and disorders linked to neurodevelopmental conditions, particularly ASD (Table and Table ). ..

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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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