ReviewMolecular systems biology2016
Transcriptomics resources of human tissues and organs.
Review in Molecular systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
76 citing papers in PubMed.
- Exonic enhancers are a widespread class of dual-function regulatory elements.Nature communications · 2026Article
- Article
- Cross-tissue enrichment patterns reveal functional clustering in normal human tissues from GTEx.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Predicting metabolic preferences through transcriptomics: a data-driven approach to align metabolic signatures with gene expression profiles.Biochemistry and biophysics reports · 2025Article
- LncCE: Landscape of Cellularly-elevated lncRNAs in Single Cells Across Normal and Cancer Tissues.Genomics, proteomics & bioinformatics · 2025Article
- Longitudinal big biological data in the AI era.Molecular systems biology · 2025Review
- Decoding Immune Dynamics in Pregnant Women: Key Gene Expression Changes Following Influenza Vaccination.International journal of molecular sciences · 2025Article
- Exploring the molecular mechanisms of subarachnoid hemorrhage and potential therapeutic targets: insights from bioinformatics and drug prediction.Scientific reports · 2025Article
- RBC-GEM: A genome-scale metabolic model for systems biology of the human red blood cell.PLoS computational biology · 2025Article
- Comprehensive mapping of genetic variation at Epromoters reveals pleiotropic association with multiple disease traits.Nucleic acids research · 2025Article
- Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025Review
- A multi-tissue longitudinal proteomics study to evaluate the suitability of post-mortem samples for pathophysiological research.Communications biology · 2025Article
- Kidney mRNA-protein expression correlation: what can we learn from the Human Protein Atlas?Journal of nephrology · 2025Article
- Molecular Mechanisms of Immunoinflammatory Infiltration and Ferroptosis in Arthritis Revealed by a Combination of Bioinformatics and Single-Cell Analysis.Journal of inflammation research · 2025Article
- Comprehensive circular RNA profiling in various sheep tissues.Scientific reports · 2024Article
- Article
- TransOrGAN: An Artificial Intelligence Mapping of Rat Transcriptomic Profiles between Organs, Ages, and Sexes.Chemical research in toxicology · 2023Article
- Spatial transcriptome analysis of long non-coding RNAs reveals tissue specificity and functional roles in cancer.Journal of Zhejiang University. Science. B · 2023Article
- Guidelines for extracting biologically relevant context-specific metabolic models using gene expression data.Metabolic engineering · 2023Article
- A Drug Repurposing Pipeline Based on Bladder Cancer Integrated Proteotranscriptomics Signatures.Methods in molecular biology (Clifton, N.J.) · 2023Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantifying the differential expression of genes in various human organs, tissues, and cell types is vital to understand human physiology and disease. Recently, several large-scale transcriptomics studies have analyzed the expression of protein-coding genes across tissues. These datasets provide a framework for defining the molecular constituents of the human body as well as for generating comprehensive lists of proteins expressed across tissues or in a tissue-restricted manner. Here, we review publicly available human transcriptome resources and discuss body-wide data from independent genome-wide transcriptome analyses of different tissues. Gene expression measurements from these independent datasets, generated using samples from fresh frozen surgical specimens and postmortem tissues, are consistent. Overall, the different genome-wide analyses support a distribution in which many proteins are found in all tissues and relatively few in a tissue-restricted manner. Moreover, we discuss the applications of publicly available omics data for building genome-scale metabolic models, used for analyzing cell and tissue functions both in physiological and in disease contexts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.