 Transcriptome
"Transcriptome" 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 pattern of GENE EXPRESSION at the level of genetic transcription in a specific organism or under specific circumstances in specific cells.
| Descriptor ID |
D059467
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| MeSH Number(s) |
G02.111.087.847.750 G02.149.115.847.750 G05.355.310.700.750 G05.360.920
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| Concept/Terms |
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
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Below are MeSH descriptors whose meaning is more general than "Transcriptome".
Below are MeSH descriptors whose meaning is more specific than "Transcriptome".
This graph shows the total number of publications written about "Transcriptome" by people in this website by year, and whether "Transcriptome" 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 |
|---|
| 2011 | 0 | 1 | 1 | | 2012 | 2 | 1 | 3 | | 2013 | 0 | 3 | 3 | | 2014 | 1 | 1 | 2 | | 2015 | 2 | 0 | 2 | | 2016 | 0 | 2 | 2 | | 2017 | 1 | 3 | 4 | | 2018 | 2 | 4 | 6 | | 2019 | 5 | 0 | 5 | | 2020 | 3 | 0 | 3 |
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Below are the most recent publications written about "Transcriptome" by people in Profiles.
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Patrick E, Taga M, Ergun A, Ng B, Casazza W, Cimpean M, Yung C, Schneider JA, Bennett DA, Gaiteri C, De Jager PL, Bradshaw EM, Mostafavi S. Deconvolving the contributions of cell-type heterogeneity on cortical gene expression. PLoS Comput Biol. 2020 08; 16(8):e1008120.
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Klein HU, Schäfer M, Bennett DA, Schwender H, De Jager PL. Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks. PLoS Comput Biol. 2020 04; 16(4):e1007771.
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Zhou Y, Song WM, Andhey PS, Swain A, Levy T, Miller KR, Poliani PL, Cominelli M, Grover S, Gilfillan S, Cella M, Ulland TK, Zaitsev K, Miyashita A, Ikeuchi T, Sainouchi M, Kakita A, Bennett DA, Schneider JA, Nichols MR, Beausoleil SA, Ulrich JD, Holtzman DM, Artyomov MN, Colonna M. Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer's disease. Nat Med. 2020 01; 26(1):131-142.
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Ng B, Casazza W, Patrick E, Tasaki S, Novakovsky G, Felsky D, Ma Y, Bennett DA, Gaiteri C, De Jager PL, Mostafavi S. Using Transcriptomic Hidden Variables to Infer Context-Specific Genotype Effects in the Brain. Am J Hum Genet. 2019 09 05; 105(3):562-572.
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Gaiteri C, Dawe R, Mostafavi S, Blizinsky KD, Tasaki S, Komashko V, Yu L, Wang Y, Schneider JA, Arfanakis K, De Jager PL, Bennett DA. Gene expression and DNA methylation are extensively coordinated with MRI-based brain microstructural characteristics. Brain Imaging Behav. 2019 Aug; 13(4):963-972.
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Canchi S, Raao B, Masliah D, Rosenthal SB, Sasik R, Fisch KM, De Jager PL, Bennett DA, Rissman RA. Integrating Gene and Protein Expression Reveals Perturbed Functional Networks in Alzheimer's Disease. Cell Rep. 2019 07 23; 28(4):1103-1116.e4.
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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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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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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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