Continuing our series looking at recent publications citing products from QIAGEN Bioinformatics, today we recap several fascinating papers from customers who made use of Ingenuity^{\u00ae<\/sup>\u00a0Pathway Analysis\u2122<\/a>\u00a0to understand the meaning of changes in gene expression.<\/p>\n}

Long-Term Mild, rather than Intense, Exercise Enhances Adult Hippocampal Neurogenesis and Greatly Changes the Transcriptomic Profile of the Hippocampus<\/strong><\/p>\n

First author: Koshiro Inoue<\/p>\n

In\u00a0this PLoS One publication<\/a>, scientists from the University of Tsukuba and other institutes in Japan used rats to understand why mild exercise shows benefits to spatial memory while intense exercise does not. Focusing on a stress biomarker, they performed microarray analysis and found that mild exercise regulated more genes. IPA reported that genes influenced by mild exercise were mostly connected to lipid metabolism and protein synthesis, while intense exercise was linked to a negative effect on hippocampal neuroadaptation.<\/p>\n

Gene network analysis shows immune-signaling and ERK1\/2 as novel genetic markers for multiple addiction phenotypes: alcohol, smoking and opioid addiction<\/strong>
\nFirst author: Cielito Reyes-Gibby<\/p>\n

MD Anderson Cancer Center scientists report in\u00a0this\u00a0BMC Systems Biology<\/em>\u00a0paper<\/a>\u00a0a study of the genetic basis for alcohol, smoking, and opioid addiction. Using IPA, they found candidate genes as well as common pathways; for example, ERK1\/2 was connected in all of the addiction networks.<\/p>\n

Targeting of multiple oncogenic signaling pathways by Hsp90 inhibitor alone or in combination with berberine for treatment of colorectal cancer<\/strong>
\nFirst author: Yen-Hao Su<\/p>\n

Published in\u00a0Biochimica et Biophysica Acta \u2013 Molecular Cell Research<\/em>,\u00a0this paper<\/a>\u00a0demonstrates the use of heat shock protein 90 inhibitors to treat colorectal cancer, also finding that herbal medicine berberine can improve drug sensitivity. A\u00a0separate data supplement<\/a>\u00a0shows results from IPA that contributed to a global molecular network of the significant genes studied.<\/p>\n

Macrophage Gene Expression Associated with Remodeling of the Prepartum Rat Cervix: Microarray and Pathway Analyses<\/strong>
\nFirst author: Abigail Dobyns<\/p>\n

Scientists from Loma Linda University School of Medicine and the University of Edinburgh describe in\u00a0this PLoS One paper<\/a>\u00a0a study of differences in cervical physiology between pregnant and nonpregnant rats. IPA was used to determine that changes in resident macrophages indicate networks of genes that are collectively up- or down-regulated prior to birth. Associated pathways were linked to wound healing and inflammation.<\/p>\n

Serial expression analysis of breast tumors during neoadjuvant chemotherapy reveals changes in cell cycle and immune pathways associated with recurrence and response<\/strong>
\nFirst authors: Mark Jesus M. Magbanua, Denise M. Wolf, Christina Yau<\/p>\n

Scientists from the University of California, San Francisco, published in\u00a0Breast Cancer Research<\/em>\u00a0the\u00a0results of a breast cancer transcriptome study<\/a>\u00a0designed to elucidate response to neoadjuvant chemotherapy. Gene expression data were analyzed with IPA to map genes to pathways and gene ontology groups, revealing that poor response was linked to lower expression of cell cycle inhibitors.<\/p>\n

(1)\u00a0Characterization of a novel chicken muscle disorder through differential gene expression and pathway analysis using RNA-sequencing<\/strong>\u00a0and (2)\u00a0Messenger RNA sequencing and pathway analysis provide novel insights into the biological basis of chickens\u2019 feed efficiency<\/strong>
\nFirst authors: Marie Mutryn and Nan Zhou<\/p>\n

This pair of papers from scientists at the University of Delaware and Maple Leaf Farms are both highly accessed publications in\u00a0BMC Genomics<\/em>.\u00a0The first<\/a>\u00a0uses RNA-seq to study an emerging muscle disorder seen recently in chickens. IPA was used to interpret the 1,500 genes differentially expressed between affected and unaffected chickens and resulted in new leads about the biological mechanism behind the disorder. In\u00a0the second paper<\/a>, RNA-seq data was generated to help explain the differences between chickens with high or low feed efficiency. The team used IPA for functional and canonical pathways, molecule activity prediction, and analysis of upstream regulators.<\/p>\n

To try Ingenuity Pathway Analysis, request a\u00a0trial.<\/a><\/p>\n

Did we miss your paper? Please contact\u00a0us<\/a>; we would love to feature you!<\/p>\n","protected":false},"excerpt":{"rendered":"Continuing our series looking at recent publications citing products from QIAGEN Bioinformatics, today we recap several fascinating papers from customers who made use of Ingenuity\u00ae\u00a0Pathway Analysis\u2122\u00a0to understand the meaning of […]","protected":false},"author":5,"featured_media":152047,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"ct_builder_shortcodes":"","ct_template_type":"","ct_parent_template":0,"_EventAllDay":false,"_EventTimezone":"","_EventStartDate":"","_EventEndDate":"","_EventStartDateUTC":"","_EventEndDateUTC":"","_EventShowMap":false,"_EventShowMapLink":false,"_EventURL":"","_EventCost":"","_EventCostDescription":"","_EventCurrencySymbol":"","_EventCurrencyCode":"","_EventCurrencyPosition":"","_EventDateTimeSeparator":"","_EventTimeRangeSeparator":"","_EventOrganizerID":[],"_EventVenueID":[],"_OrganizerEmail":"","_OrganizerPhone":"","_OrganizerWebsite":"","_VenueAddress":"","_VenueCity":"","_VenueCountry":"","_VenueProvince":"","_VenueState":"","_VenueZip":"","_VenuePhone":"","_VenueURL":"","_VenueStateProvince":"","_VenueLat":"","_VenueLng":"","_VenueShowMap":false,"_VenueShowMapLink":false,"_tribe_blocks_recurrence_rules":"","_tribe_blocks_recurrence_description":"","_tribe_blocks_recurrence_exclusions":"","footnotes":""},"categories":[10956],"tags":[10988,24,10978,11068],"class_list":["post-3111","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-discovery","tag-ingenuity-pathway-analysis","tag-ipa","tag-publications","tag-sample-to-insight"],"acf":[],"yoast_head":"\n