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
|
| MeSH Number(s) |
E05.393.332
|
| 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
|
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 |
|---|
| 2000 | 0 | 2 | 2 |
| 2001 | 3 | 2 | 5 |
| 2002 | 9 | 15 | 24 |
| 2003 | 11 | 13 | 24 |
| 2004 | 23 | 19 | 42 |
| 2005 | 18 | 22 | 40 |
| 2006 | 14 | 30 | 44 |
| 2007 | 11 | 32 | 43 |
| 2008 | 15 | 37 | 52 |
| 2009 | 16 | 51 | 67 |
| 2010 | 14 | 41 | 55 |
| 2011 | 11 | 60 | 71 |
| 2012 | 12 | 49 | 61 |
| 2013 | 17 | 31 | 48 |
| 2014 | 5 | 31 | 36 |
| 2015 | 16 | 42 | 58 |
| 2016 | 10 | 44 | 54 |
| 2017 | 16 | 37 | 53 |
| 2018 | 13 | 38 | 51 |
| 2019 | 11 | 33 | 44 |
| 2020 | 8 | 19 | 27 |
| 2021 | 7 | 25 | 32 |
| 2022 | 3 | 4 | 7 |
| 2023 | 1 | 15 | 16 |
| 2024 | 4 | 27 | 31 |
| 2025 | 1 | 9 | 10 |
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Below are the most recent publications written about "Gene Expression Profiling" by people in Profiles.
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Inferring gene-pathway associations from consolidated transcriptome datasets: an interactive gene network explorer for Tetrahymena thermophila. NAR Genom Bioinform. 2025 Jun; 7(2):lqaf067.
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scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework. Cell Genom. 2025 May 14; 5(5):100875.
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Comprehensive Profiling of Acral Lentiginous Melanoma Reveals Downregulated Immune Activation Compared to Cutaneous Melanoma. Pigment Cell Melanoma Res. 2025 May; 38(3):e70027.
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Transcriptomic analysis of iPSC-derived endothelium reveals adaptations to high altitude hypoxia in energy metabolism and inflammation. PLoS Genet. 2025 Feb; 21(2):e1011570.
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Multi-INTACT: integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits. Genome Biol. 2025 Feb 03; 26(1):19.
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Multiomic analysis reveals cellular, transcriptomic and epigenetic changes in intestinal pouches of ulcerative colitis patients. Nat Commun. 2025 Jan 21; 16(1):904.
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Hormone Receptor-Positive HER2-Negative/MammaPrint High-2 Breast Cancers Closely Resemble Triple-Negative Breast Cancers. Clin Cancer Res. 2025 Jan 17; 31(2):403-413.
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Gene-Environment Interaction: Small Deletions (DELs) and Transcriptomic Profiles in Non-Melanoma Skin Cancer (NMSC) and Potential Implications for Therapy. Cells. 2025 01 10; 14(2).
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A cell atlas of the human fallopian tube throughout the menstrual cycle and menopause. Nat Commun. 2025 Jan 03; 16(1):372.
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Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decomposition. Nat Genet. 2025 Jan; 57(1):263-273.