"Gene Regulatory Networks" 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.
Interacting DNA-encoded regulatory subsystems in the GENOME that coordinate input from activator and repressor TRANSCRIPTION FACTORS during development, cell differentiation, or in response to environmental cues. The networks function to ultimately specify expression of particular sets of GENES for specific conditions, times, or locations.
Descriptor ID |
D053263
|
MeSH Number(s) |
G05.360.080.689.360
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Concept/Terms |
Gene Regulatory Networks- Gene Regulatory Networks
- Gene Regulatory Network
- Network, Gene Regulatory
- Networks, Gene Regulatory
- Regulatory Network, Gene
- Regulatory Networks, Gene
- Gene Networks
- Gene Network
- Network, Gene
- Networks, Gene
- Transcriptional Networks
- Network, Transcriptional
- Networks, Transcriptional
- Transcriptional Network
Gene Circuits- Gene Circuits
- Circuit, Gene
- Circuits, Gene
- Gene Circuit
Gene Modules- Gene Modules
- Module, Gene
- Modules, Gene
- Gene Module
|
Below are MeSH descriptors whose meaning is more general than "Gene Regulatory Networks".
Below are MeSH descriptors whose meaning is more specific than "Gene Regulatory Networks".
This graph shows the total number of publications written about "Gene Regulatory Networks" by people in this website by year, and whether "Gene Regulatory Networks" 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 |
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2013 | 3 | 0 | 3 |
2014 | 1 | 1 | 2 |
2015 | 0 | 1 | 1 |
2016 | 1 | 2 | 3 |
2017 | 21 | 40 | 61 |
2018 | 25 | 37 | 62 |
2019 | 2 | 16 | 18 |
2020 | 3 | 7 | 10 |
2021 | 2 | 6 | 8 |
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Below are the most recent publications written about "Gene Regulatory Networks" by people in Profiles.
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DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data. Brief Bioinform. 2021 11 05; 22(6).
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Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders. Brief Bioinform. 2021 11 05; 22(6).
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PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients. Sci Rep. 2021 08 30; 11(1):17351.
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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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Genomics-guided identification of potential modulators of SARS-CoV-2 entry proteases, TMPRSS2 and Cathepsins B/L. PLoS One. 2021; 16(8):e0256141.
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Improving gene network inference with graph wavelets and making insights about ageing-associated regulatory changes in lungs. Brief Bioinform. 2021 07 20; 22(4).
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Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19. Genome Med. 2021 07 19; 13(1):118.
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Computational analysis of TMPRSS2 expression in normal and SARS-CoV-2-infected human tissues. Chem Biol Interact. 2021 Sep 01; 346:109583.
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Construction of an autophagy interaction network based on competitive endogenous RNA reveals the key pathways and central genes of SARS-CoV-2 infection in vivo. Microb Pathog. 2021 Sep; 158:105051.
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In Silico Identification of miRNA-lncRNA Interactions in Male Reproductive Disorder Associated with COVID-19 Infection. Cells. 2021 06 12; 10(6).