 Gene Regulatory Networks
"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
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| 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
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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 |
|---|
| 2008 | 1 | 3 | 4 | | 2009 | 1 | 1 | 2 | | 2010 | 1 | 3 | 4 | | 2011 | 0 | 1 | 1 | | 2013 | 2 | 0 | 2 | | 2014 | 2 | 1 | 3 | | 2015 | 1 | 0 | 1 | | 2016 | 1 | 2 | 3 | | 2017 | 0 | 1 | 1 | | 2018 | 1 | 1 | 2 | | 2019 | 1 | 1 | 2 | | 2020 | 0 | 2 | 2 |
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Below are the most recent publications written about "Gene Regulatory Networks" by people in Profiles.
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Johnson ECB, Dammer EB, Duong DM, Ping L, Zhou M, Yin L, Higginbotham LA, Guajardo A, White B, Troncoso JC, Thambisetty M, Montine TJ, Lee EB, Trojanowski JQ, Beach TG, Reiman EM, Haroutunian V, Wang M, Schadt E, Zhang B, Dickson DW, Ertekin-Taner N, Golde TE, Petyuk VA, De Jager PL, Bennett DA, Wingo TS, Rangaraju S, Hajjar I, Shulman JM, Lah JJ, Levey AI, Seyfried NT. Large-scale proteomic analysis of Alzheimer's disease brain and cerebrospinal fluid reveals early changes in energy metabolism associated with microglia and astrocyte activation. Nat Med. 2020 05; 26(5):769-780.
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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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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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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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Chen C, Meng Q, Xia Y, Ding C, Wang L, Dai R, Cheng L, Gunaratne P, Gibbs RA, Min S, Coarfa C, Reid JG, Zhang C, Jiao C, Jiang Y, Giase G, Thomas A, Fitzgerald D, Brunetti T, Shieh A, Xia C, Wang Y, Wang Y, Badner JA, Gershon ES, White KP, Liu C. The transcription factor POU3F2 regulates a gene coexpression network in brain tissue from patients with psychiatric disorders. Sci Transl Med. 2018 12 19; 10(472).
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Sekiya M, Wang M, Fujisaki N, Sakakibara Y, Quan X, Ehrlich ME, De Jager PL, Bennett DA, Schadt EE, Gandy S, Ando K, Zhang B, Iijima KM. Integrated biology approach reveals molecular and pathological interactions among Alzheimer's Aß42, Tau, TREM2, and TYROBP in Drosophila models. Genome Med. 2018 03 29; 10(1):26.
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Venkatachari NJ, Jain S, Walker L, Bivalkar-Mehla S, Chattopadhyay A, Bar-Joseph Z, Rinaldo C, Ragin A, Seaberg E, Levine A, Becker J, Martin E, Sacktor N, Ayyavoo V. Transcriptome analyses identify key cellular factors associated with HIV-1-associated neuropathogenesis in infected men. AIDS. 2017 03 13; 31(5):623-633.
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Canli T, Wen R, Wang X, Mikhailik A, Yu L, Fleischman D, Wilson RS, Bennett DA. Differential transcriptome expression in human nucleus accumbens as a function of loneliness. Mol Psychiatry. 2017 07; 22(7):1069-1078.
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Blizinsky KD, Diaz-Castro B, Forrest MP, Schürmann B, Bach AP, Martin-de-Saavedra MD, Wang L, Csernansky JG, Duan J, Penzes P. Reversal of dendritic phenotypes in 16p11.2 microduplication mouse model neurons by pharmacological targeting of a network hub. Proc Natl Acad Sci U S A. 2016 07 26; 113(30):8520-5.
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Gaiteri C, Mostafavi S, Honey CJ, De Jager PL, Bennett DA. Genetic variants in Alzheimer disease - molecular and brain network approaches. Nat Rev Neurol. 2016 07; 12(7):413-27.
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