 Gene Expression Profiling
"Gene Expression Profiling" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell.
| Descriptor ID |
D020869
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| MeSH Number(s) |
E05.393.332
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| Concept/Terms |
Gene Expression Profiling- Gene Expression Profiling
- Gene Expression Profilings
- Profiling, Gene Expression
- Profilings, Gene Expression
- Gene Expression Pattern Analysis
- Transcriptome Profiling
- Profiling, Transcriptome
- Profilings, Transcriptome
- Transcriptome Profilings
- Transcriptome Analysis
- Analyses, Transcriptome
- Analysis, Transcriptome
- Transcriptome Analyses
- Gene Expression Monitoring
- Gene Expression Monitorings
- Monitoring, Gene Expression
- Monitorings, Gene Expression
- Transcript Expression Analysis
- Analyses, Transcript Expression
- Analysis, Transcript Expression
- Transcript Expression Analyses
Gene Expression Profiles- Gene Expression Profiles
- Expression Profile, Gene
- Expression Profiles, Gene
- Gene Expression Profile
- Profile, Gene Expression
- Profiles, Gene Expression
- Transcriptome Profiles
- Profile, Transcriptome
- Profiles, Transcriptome
- Transcriptome Profile
- Gene Expression Signatures
- Expression Signature, Gene
- Expression Signatures, Gene
- Gene Expression Signature
- Signature, Gene Expression
- Signatures, Gene Expression
mRNA Differential Display- mRNA Differential Display
- Differential Display, mRNA
- Differential Displays, mRNA
- Display, mRNA Differential
- Displays, mRNA Differential
- mRNA Differential Displays
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Below are MeSH descriptors whose meaning is more general than "Gene Expression Profiling".
Below are MeSH descriptors whose meaning is more specific than "Gene Expression Profiling".
This graph shows the total number of publications written about "Gene Expression Profiling" by people in this website by year, and whether "Gene Expression Profiling" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2000 | 0 | 2 | 2 | | 2001 | 3 | 2 | 5 | | 2002 | 9 | 16 | 25 | | 2003 | 11 | 15 | 26 | | 2004 | 22 | 19 | 41 | | 2005 | 19 | 21 | 40 | | 2006 | 16 | 34 | 50 | | 2007 | 12 | 33 | 45 | | 2008 | 15 | 33 | 48 | | 2009 | 17 | 51 | 68 | | 2010 | 13 | 42 | 55 | | 2011 | 13 | 58 | 71 | | 2012 | 12 | 48 | 60 | | 2013 | 15 | 30 | 45 | | 2014 | 5 | 30 | 35 | | 2015 | 13 | 40 | 53 | | 2016 | 8 | 41 | 49 | | 2017 | 16 | 35 | 51 | | 2018 | 10 | 37 | 47 | | 2019 | 10 | 30 | 40 | | 2020 | 7 | 20 | 27 | | 2021 | 6 | 20 | 26 | | 2022 | 2 | 0 | 2 |
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Below are the most recent publications written about "Gene Expression Profiling" by people in Profiles.
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Elorbany R, Popp JM, Rhodes K, Strober BJ, Barr K, Qi G, Gilad Y, Battle A. Single-cell sequencing reveals lineage-specific dynamic genetic regulation of gene expression during human cardiomyocyte differentiation. PLoS Genet. 2022 01; 18(1):e1009666.
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Mascia F, Mazo I, Alterovitz WL, Karagiannis K, Wu WW, Shen RF, Beaver JA, Rao VA. In search of autophagy biomarkers in breast cancer: Receptor status and drug agnostic transcriptional changes during autophagy flux in cell lines. PLoS One. 2022; 17(1):e0262134.
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Kariotis S, Jammeh E, Swietlik EM, Pickworth JA, Rhodes CJ, Otero P, Wharton J, Iremonger J, Dunning MJ, Pandya D, Mascarenhas TS, Errington N, Thompson AAR, Romanoski CE, Rischard F, Garcia JGN, Yuan JX, An TS, Desai AA, Coghlan G, Lordan J, Corris PA, Howard LS, Condliffe R, Kiely DG, Church C, Pepke-Zaba J, Toshner M, Wort S, Gräf S, Morrell NW, Wilkins MR, Lawrie A, Wang D. Biological heterogeneity in idiopathic pulmonary arterial hypertension identified through unsupervised transcriptomic profiling of whole blood. Nat Commun. 2021 12 07; 12(1):7104.
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Huang S, Zhang W, Katanski CD, Dersh D, Dai Q, Lolans K, Yewdell J, Eren AM, Pan T. Interferon inducible pseudouridine modification in human mRNA by quantitative nanopore profiling. Genome Biol. 2021 12 06; 22(1):330.
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Dodiya HB, Lutz HL, Weigle IQ, Patel P, Michalkiewicz J, Roman-Santiago CJ, Zhang CM, Liang Y, Srinath A, Zhang X, Xia J, Olszewski M, Zhang X, Schipma MJ, Chang EB, Tanzi RE, Gilbert JA, Sisodia SS. Gut microbiota-driven brain Aß amyloidosis in mice requires microglia. J Exp Med. 2022 01 03; 219(1).
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Rogers D, Sood A, Wang H, van Beek JJP, Rademaker TJ, Artusa P, Schneider C, Shen C, Wong DC, Bhagrath A, Lebel MÈ, Condotta SA, Richer MJ, Martins AJ, Tsang JS, Barreiro LB, François P, Langlais D, Melichar HJ, Textor J, Mandl JN. Pre-existing chromatin accessibility and gene expression differences among naive CD4+ T cells influence effector potential. Cell Rep. 2021 11 30; 37(9):110064.
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Ma WF, Hodonsky CJ, Turner AW, Wong D, Song Y, Mosquera JV, Ligay AV, Slenders L, Gancayco C, Pan H, Barrientos NB, Mai D, Alencar GF, Owsiany K, Owens GK, Reilly MP, Li M, Pasterkamp G, Mokry M, van der Laan SW, Khomtchouk BB, Miller CL. Enhanced single-cell RNA-seq workflow reveals coronary artery disease cellular cross-talk and candidate drug targets. Atherosclerosis. 2022 01; 340:12-22.
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Javellana M, Eckert MA, Heide J, Zawieracz K, Weigert M, Ashley S, Stock E, Chapel D, Huang L, Yamada SD, Ahmed AA, Lastra RR, Chen M, Lengyel E. Neoadjuvant Chemotherapy Induces Genomic and Transcriptomic Changes in Ovarian Cancer. Cancer Res. 2022 01 01; 82(1):169-176.
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Brusilovsky M, Bao R, Rochman M, Kemter AM, Nagler CR, Rothenberg ME. Host-Microbiota Interactions in the Esophagus During Homeostasis and Allergic Inflammation. Gastroenterology. 2022 02; 162(2):521-534.e8.
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Sun Y, Zhu J, Zhou D, Canchi S, Wu C, Cox NJ, Rissman RA, Gamazon ER, Wu L. A transcriptome-wide association study of Alzheimer's disease using prediction models of relevant tissues identifies novel candidate susceptibility genes. Genome Med. 2021 09 01; 13(1):141.
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