chr3p22
Genes in cytogenetic band chr3p22
c1 - Positional genesets for each human chromosome and cytogenetic band.
Molecular Signatures Database (MSigDB) Geneset. This geneset was imported from one of the MSigDB collections.
gene2msig v. 0.1.0
Last updated 2015.08.31
chr3p23
Genes in cytogenetic band chr3p23
c1 - Positional genesets for each human chromosome and cytogenetic band.
Molecular Signatures Database (MSigDB) Geneset. This geneset was imported from one of the MSigDB collections.
gene2msig v. 0.1.0
Last updated 2015.08.31
This set describes genes whose transcription is downregulated in the whole blood of COVID-19 patients versus healthy donors. Genes listed in table S2 were entered using the core ENSEMBL Gene identifiers. Values are the reported log2 fold-change.
Authors:
Anna C Aschenbrenner, Maria Mouktaroudi, Benjamin Krämer, Marie Oestreich, Nikolaos Antonakos, Melanie Nuesch-Germano, Konstantina Gkizeli, Lorenzo Bonaguro, Nico Reusch, Kevin Baßler, Maria Saridaki, Rainer Knoll, Tal Pecht, Theodore S Kapellos, Sarandia Doulou, Charlotte Kröger, Miriam Herbert, Lisa Holsten, Arik Horne, Ioanna D Gemünd, Nikoletta Rovina, Shobhit Agrawal, Kilian Dahm, Martina van Uelft, Anna Drews, Lena Lenkeit, Niklas Bruse, Jelle Gerretsen, Jannik Gierlich, Matthias Becker, Kristian Händler, Michael Kraut, Heidi Theis, Simachew Mengiste, Elena De Domenico, Jonas Schulte-Schrepping, Lea Seep, Jan Raabe, Christoph Hoffmeister, Michael ToVinh, Verena Keitel, Gereon Rieke, Valentina Talevi, Dirk Skowasch, N Ahmad Aziz, Peter Pickkers, Frank L van de Veerdonk, Mihai G Netea, Joachim L Schultze, Matthijs Kox, Monique M B Breteler, Jacob Nattermann, Antonia Koutsoukou, Evangelos J Giamarellos-Bourboulis, Thomas Ulas,
This set describes genes whose transcription is down-regulated in the whole blood of severe COVID-19 patients versus healthy donors. Genes listed in table S2 were entered using the core ENSEMBL Gene identifiers. Values are the reported log2 fold-change.
Authors:
Anna C Aschenbrenner, Maria Mouktaroudi, Benjamin Krämer, Marie Oestreich, Nikolaos Antonakos, Melanie Nuesch-Germano, Konstantina Gkizeli, Lorenzo Bonaguro, Nico Reusch, Kevin Baßler, Maria Saridaki, Rainer Knoll, Tal Pecht, Theodore S Kapellos, Sarandia Doulou, Charlotte Kröger, Miriam Herbert, Lisa Holsten, Arik Horne, Ioanna D Gemünd, Nikoletta Rovina, Shobhit Agrawal, Kilian Dahm, Martina van Uelft, Anna Drews, Lena Lenkeit, Niklas Bruse, Jelle Gerretsen, Jannik Gierlich, Matthias Becker, Kristian Händler, Michael Kraut, Heidi Theis, Simachew Mengiste, Elena De Domenico, Jonas Schulte-Schrepping, Lea Seep, Jan Raabe, Christoph Hoffmeister, Michael ToVinh, Verena Keitel, Gereon Rieke, Valentina Talevi, Dirk Skowasch, N Ahmad Aziz, Peter Pickkers, Frank L van de Veerdonk, Mihai G Netea, Joachim L Schultze, Matthijs Kox, Monique M B Breteler, Jacob Nattermann, Antonia Koutsoukou, Evangelos J Giamarellos-Bourboulis, Thomas Ulas,
This set describes genes whose transcription is down-regulated in the whole blood of mild COVID-19 patients versus healthy donors. Genes listed in table S2 were entered using the core ENSEMBL Gene identifiers. Values are the reported log2 fold-change.
Authors:
Anna C Aschenbrenner, Maria Mouktaroudi, Benjamin Krämer, Marie Oestreich, Nikolaos Antonakos, Melanie Nuesch-Germano, Konstantina Gkizeli, Lorenzo Bonaguro, Nico Reusch, Kevin Baßler, Maria Saridaki, Rainer Knoll, Tal Pecht, Theodore S Kapellos, Sarandia Doulou, Charlotte Kröger, Miriam Herbert, Lisa Holsten, Arik Horne, Ioanna D Gemünd, Nikoletta Rovina, Shobhit Agrawal, Kilian Dahm, Martina van Uelft, Anna Drews, Lena Lenkeit, Niklas Bruse, Jelle Gerretsen, Jannik Gierlich, Matthias Becker, Kristian Händler, Michael Kraut, Heidi Theis, Simachew Mengiste, Elena De Domenico, Jonas Schulte-Schrepping, Lea Seep, Jan Raabe, Christoph Hoffmeister, Michael ToVinh, Verena Keitel, Gereon Rieke, Valentina Talevi, Dirk Skowasch, N Ahmad Aziz, Peter Pickkers, Frank L van de Veerdonk, Mihai G Netea, Joachim L Schultze, Matthijs Kox, Monique M B Breteler, Jacob Nattermann, Antonia Koutsoukou, Evangelos J Giamarellos-Bourboulis, Thomas Ulas,
Differentially expressed genes from RPE compared to Normal Retina
Description:
Transcriptome profiling from macular retina and RPE/choroid samples from 27 unrelated eye tissue donors, was performed using RNA-sequencing. Human donor eye collection were obtained from Utah Lions Eye Bank within a 6-hour post-mortem interval and donors aged 60-90 years. Sample types were Normal Retina, Intermediate AMD Retina, Neovascular AMD Retina, Normal macular retina pigment epithelium (RPE), Intermediate AMD RPE, and Neovascular AMD RPE. Age Related Macular Degeneration (AMD) phenotyping was determined using the Age-Related Eye Disease Study (AREDS) severity grading scale, where AREDS category 0/1 was considered normal, AREDS category 3 intermediate AMD, and AREDS category 4b neovascular AMD. Samples from Normal RPE were compared to Normal Retina, and are presented with fold change > 1.5 and and P < 0.05. This gene set was annotated from the Supplementry Table of BioRxiv pre-print paper ‘Patterns of gene expression and allele-specific expression vary among macular tissues and clinical stages of Age-related Macular Degeneration’ by Zhang et.al (2022) doi: https://doi.org/10.1101/2022.12.19.521092
RNA sequencing of a limited number of archived patients' specimens with extended opioid exposure or non-opioid exposure was performed. Immune infiltration and changes in the microenvironment were evaluated using CIBERSORT.
Authors:
Mamatha Garige, Sarah Poncet, Alexis Norris, Chao-Kai Chou, Wells W Wu, Rong-Fong Shen, Jacob W Greenberg, Louis Spencer Krane, Carole Sourbier
Postmortem tissue samples of the dorsolateral prefrontal cortex (DLPFC) from 153 deceased individuals (Mage = 35.4; 62% male; 77% European ancestry). Study groups included 72 brain samples from individuals who died of acute opioid intoxication, 53 psychiatric controls, and 28 normal controls. Whole transcriptome RNA-sequencing was used to generate exon counts, and differential expression was tested using limma-voom. Analyses were adjusted for relevant sociodemographic characteristics, technical covariates, and cryptic relatedness using quality surrogate variables. Weighted correlation network analysis and gene set enrichment analyses also were conducted.
Authors:
David W Sosnowski, Andrew E Jaffe, Ran Tao, Amy Deep-Soboslay, Chang Shu, Sarven Sabunciyan, Joel E Kleinman, Thomas M Hyde, Brion S Maher
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