"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
|
| MeSH Number(s) |
G02.111.873.750 G05.297.700.750 G05.360.920
|
| 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
|
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 | 1 | 0 | 1 |
| 2012 | 2 | 3 | 5 |
| 2013 | 2 | 3 | 5 |
| 2014 | 2 | 3 | 5 |
| 2015 | 2 | 3 | 5 |
| 2016 | 3 | 7 | 10 |
| 2017 | 66 | 83 | 149 |
| 2018 | 61 | 96 | 157 |
| 2019 | 29 | 35 | 64 |
| 2020 | 16 | 22 | 38 |
| 2021 | 22 | 33 | 55 |
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Below are the most recent publications written about "Transcriptome" by people in Profiles.
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Recent omics-based computational methods for COVID-19 drug discovery and repurposing. Brief Bioinform. 2021 11 05; 22(6).
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scAdapt: virtual adversarial domain adaptation network for single cell RNA-seq data classification across platforms and species. Brief Bioinform. 2021 11 05; 22(6).
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Discovering common pathogenetic processes between COVID-19 and diabetes mellitus by differential gene expression pattern analysis. Brief Bioinform. 2021 11 05; 22(6).
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DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19. Brief Bioinform. 2021 11 05; 22(6).
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Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions. Brief Bioinform. 2021 11 05; 22(6).
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A dynamic mucin mRNA signature associates with COVID-19 disease presentation and severity. JCI Insight. 2021 10 08; 6(19).
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RCA2: a scalable supervised clustering algorithm that reduces batch effects in scRNA-seq data. Nucleic Acids Res. 2021 09 07; 49(15):8505-8519.
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Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection. Cell Mol Immunol. 2021 10; 18(10):2313-2324.
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Comprehensive Analysis of the Systemic Transcriptomic Alternations and Inflammatory Response during the Occurrence and Progress of COVID-19. Oxid Med Cell Longev. 2021; 2021:9998697.
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A high-resolution temporal atlas of the SARS-CoV-2 translatome and transcriptome. Nat Commun. 2021 08 25; 12(1):5120.