ArticleNature communications2017
Tradict enables accurate prediction of eukaryotic transcriptional states from 100 marker genes.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns.eLife · 2026Article
- In vitro Host-Parasite Models Combined With Proteomics Reveal Cell Type-Specific Responses of Early Migrating Fasciola hepatica Juveniles.Molecular & cellular proteomics : MCP · 2026Article
- Live-cell omics with Raman spectroscopy.Microscopy (Oxford, England) · 2025Review
- DeLTa-Seq: direct-lysate targeted RNA-Seq from crude tissue lysate.Plant methods · 2022Article
- High-resolution expression profiling of selected gene sets during plant immune activation.Plant biotechnology journal · 2020Article
- From bud formation to flowering: transcriptomic state defines the cherry developmental phases of sweet cherry bud dormancy.BMC genomics · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Transcript levels are a critical determinant of the proteome and hence cellular function. Because the transcriptome is an outcome of the interactions between genes and their products, it may be accurately represented by a subset of transcript abundances. We develop a method, Tradict (transcriptome predict), capable of learning and using the expression measurements of a small subset of 100 marker genes to predict transcriptome-wide gene abundances and the expression of a comprehensive, but interpretable list of transcriptional programs that represent the major biological processes and pathways of the cell. By analyzing over 23,000 publicly available RNA-Seq data sets, we show that Tradict is robust to noise and accurate. Coupled with targeted RNA sequencing, Tradict may therefore enable simultaneous transcriptome-wide screening and mechanistic investigation at large scales.
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Registered trials
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