 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
- Transcriptome Profiling
- Profiling, Transcriptome
- Profilings, Transcriptome
- Transcriptome Profilings
- Transcript Expression Analysis
- Analyses, Transcript Expression
- Analysis, Transcript Expression
- Transcript Expression Analyses
- Transcriptome Analysis
- Analyses, Transcriptome
- Analysis, Transcriptome
- Transcriptome Analyses
- Gene Expression Monitoring
- Gene Expression Monitorings
- Monitoring, Gene Expression
- Monitorings, Gene Expression
- Gene Expression Pattern Analysis
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 |
|---|
| 2002 | 0 | 2 | 2 | | 2003 | 1 | 2 | 3 | | 2004 | 2 | 3 | 5 | | 2005 | 2 | 3 | 5 | | 2006 | 1 | 6 | 7 | | 2007 | 2 | 1 | 3 | | 2008 | 1 | 6 | 7 | | 2009 | 3 | 2 | 5 | | 2010 | 3 | 7 | 10 | | 2011 | 3 | 4 | 7 | | 2012 | 3 | 4 | 7 | | 2013 | 0 | 6 | 6 | | 2014 | 0 | 5 | 5 | | 2015 | 2 | 5 | 7 | | 2016 | 1 | 4 | 5 | | 2017 | 3 | 6 | 9 | | 2018 | 1 | 4 | 5 | | 2019 | 3 | 4 | 7 |
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Below are the most recent publications written about "Gene Expression Profiling" by people in Profiles.
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Hoyer FF, Naxerova K, Schloss MJ, Hulsmans M, Nair AV, Dutta P, Calcagno DM, Herisson F, Anzai A, Sun Y, Wojtkiewicz G, Rohde D, Frodermann V, Vandoorne K, Courties G, Iwamoto Y, Garris CS, Williams DL, Breton S, Brown D, Whalen M, Libby P, Pittet MJ, King KR, Weissleder R, Swirski FK, Nahrendorf M. Tissue-Specific Macrophage Responses to Remote Injury Impact the Outcome of Subsequent Local Immune Challenge. Immunity. 2019 11 19; 51(5):899-914.e7.
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Arakawa Y, Yokoyama K, Tasaki S, Kato J, Nakashima K, Takeyama M, Nakatani A, Suzuki M. Transgenic mice overexpressing miR-137 in the brain show schizophrenia-associated behavioral deficits and transcriptome profiles. PLoS One. 2019; 14(7):e0220389.
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Kantor O, Barrera E, Kopkash K, Pesce C, Barrera E, Winchester DJ, Yao K. Are we Overtreating Hormone Receptor Positive Breast Cancer with Neoadjuvant Chemotherapy? Role of OncotypeDx® for Hormone Receptor Positive Patients Undergoing Neoadjuvant Chemotherapy. Ann Surg Oncol. 2019 Oct; 26(10):3232-3239.
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Nagpal S, Meng X, Epstein MP, Tsoi LC, Patrick M, Gibson G, De Jager PL, Bennett DA, Wingo AP, Wingo TS, Yang J. TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits. Am J Hum Genet. 2019 08 01; 105(2):258-266.
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Clancy-Thompson E, Chen GZ, LaMarche NM, Ali LR, Jeong HJ, Crowley SJ, Boelaars K, Brenner MB, Lynch L, Dougan SK. Transnuclear mice reveal Peyer's patch iNKT cells that regulate B-cell class switching to IgG1. EMBO J. 2019 07 15; 38(14):e101260.
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Ford KL, Anwar M, Heys R, Ahmed EM, Caputo M, Game L, Reeves BC, Punjabi PP, Angelini GD, Petretto E, Emanueli C. Optimisation of laboratory methods for whole transcriptomic RNA analyses in human left ventricular biopsies and blood samples of clinical relevance. PLoS One. 2019; 14(3):e0213685.
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Tirosh A, Mukherjee S, Lack J, Gara SK, Wang S, Quezado MM, Keutgen XM, Wu X, Cam M, Kumar S, Patel D, Nilubol N, Tyagi MV, Kebebew E. Distinct genome-wide methylation patterns in sporadic and hereditary nonfunctioning pancreatic neuroendocrine tumors. Cancer. 2019 04 15; 125(8):1247-1257.
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Raj T, Li YI, Wong G, Humphrey J, Wang M, Ramdhani S, Wang YC, Ng B, Gupta I, Haroutunian V, Schadt EE, Young-Pearse T, Mostafavi S, Zhang B, Sklar P, Bennett DA, De Jager PL. Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer's disease susceptibility. Nat Genet. 2018 11; 50(11):1584-1592.
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Petyuk VA, Chang R, Ramirez-Restrepo M, Beckmann ND, Henrion MYR, Piehowski PD, Zhu K, Wang S, Clarke J, Huentelman MJ, Xie F, Andreev V, Engel A, Guettoche T, Navarro L, De Jager P, Schneider JA, Morris CM, McKeith IG, Perry RH, Lovestone S, Woltjer RL, Beach TG, Sue LI, Serrano GE, Lieberman AP, Albin RL, Ferrer I, Mash DC, Hulette CM, Ervin JF, Reiman EM, Hardy JA, Bennett DA, Schadt E, Smith RD, Myers AJ. The human brainome: network analysis identifies HSPA2 as a novel Alzheimer’s disease target. Brain. 2018 09 01; 141(9):2721-2739.
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Dillon SM, Guo K, Austin GL, Gianella S, Engen PA, Mutlu EA, Losurdo J, Swanson G, Chakradeo P, Keshavarzian A, Landay AL, Santiago ML, Wilson CC. A compartmentalized type I interferon response in the gut during chronic HIV-1 infection is associated with immunopathogenesis. AIDS. 2018 07 31; 32(12):1599-1611.
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