ReviewGenes2023
Workability of mRNA Sequencing for Predicting Protein Abundance.
Review in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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.
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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.
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Who cites it
35 citing papers in PubMed.
- Spatial Proteomics as a Potential Decision-Support Layer for Early Melanoma: A Narrative Review.International journal of dermatology · 2026Review
- Role of Cellular-Ferroptosis-Mediated HMGB1 Nuclear Translocation in Indium-Tin-Oxide-Nanoparticle-Induced Inflammatory Lung Injury.Environment & health (Washington, D.C.) · 2026Article
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- Integrated transcriptomic and proteomic analysis reveals isolation and culture associated molecular changes in neonatal porcine pancreatic cell clusters.Molecular biology reports · 2026Article
- A comprehensive proteome and the first phosphoproteome reveal extensive phosphorylation of carbohydrate metabolism in Cryptosporidium parvum sporozoites.Parasites & vectors · 2026Article
- Mind the gap between RNA and protein levels: A general phenomenon with implications for virology.PLoS pathogens · 2026Article
- Article
- TPC2 regulates proteomic remodeling, bioenergetic phenotypes, and mitochondrial stress adaptation in melanoma.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2026Article
- Neural mesenchymal-like fibroblast-derived migrasomes promote Schwann cell proliferation and migration via tenascin-C transfer during peripheral nerve regeneration.Cell communication and signaling : CCS · 2026Article
- Multi-Omics Reveals Tetrodotoxin Transport and Accumulation Mechanisms inMarine drugs · 2026Article
- Immune cell annotation in the single-cell studies: technologies, challenges, and integrative solutions.Immunologic research · 2026Review
- Time-Resolved Proteomic Analysis in Zebrafish Using Bioorthogonal Noncanonical Amino Acid Tagging.Journal of proteome research · 2026Article
- JAK inhibitors alleviate EGFR-inhibitor-induced diarrhea by protecting intestinal stem cells from adaptive-immune-exacerbated injury.Nature communications · 2026Article
- Integrating transcriptomics and proteomics to assess antisense oligonucleotide safety and efficacy: a time-resolved approach.NAR molecular medicine · 2026Article
- Minimal correlation but complementary diagnostic utility for plasma cell-free RNA and proteins.Communications medicine · 2026Article
- Integrative Transcriptomic, Proteomic and Epigenetic Analysis Uncovers Reproductive Dysregulation in F1 Males ofInternational journal of molecular sciences · 2026Article
- Opportunities for RNA sequencing in physiology: from big data to understanding homeostasis and heterogeneity.Function (Oxford, England) · 2026Review
- Article
- Microbes-mineral interactions enhance nutrient acquisition and physiological adaptation inFrontiers in plant science · 2026Article
- Transcriptomic and protein analysis of human cortex reveals genes and pathways linked to NPTX2 disruption in Alzheimer's disease.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Transcriptomics methods (RNA-Seq, PCR) today are more routine and reproducible than proteomics methods, i.e., both mass spectrometry and immunochemical analysis. For this reason, most scientific studies are limited to assessing the level of mRNA content. At the same time, protein content (and its post-translational status) largely determines the cell's state and behavior. Such a forced extrapolation of conclusions from the transcriptome to the proteome often seems unjustified. The ratios of "transcript-protein" pairs can vary by several orders of magnitude for different genes. As a rule, the correlation coefficient between transcriptome-proteome levels for different tissues does not exceed 0.3-0.5. Several characteristics determine the ratio between the content of mRNA and protein: among them, the rate of movement of the ribosome along the mRNA and the number of free ribosomes in the cell, the availability of tRNA, the secondary structure, and the localization of the transcript. The technical features of the experimental methods also significantly influence the levels of the transcript and protein of the corresponding gene on the outcome of the comparison. Given the above biological features and the performance of experimental and bioinformatic approaches, one may develop various models to predict proteomic profiles based on transcriptomic data. This review is devoted to the ability of RNA sequencing methods for protein abundance prediction.
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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.