ArticleNature communications2023
CamoTSS: analysis of alternative transcription start sites for cellular phenotypes and regulatory patterns from 5' scRNA-seq data.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
10 citing papers in PubMed, 10 citations in OpenAlex.
- Accurate profiling of single-cell alternative transcript start sites by correcting RNA degradation.Nature communications · 2026Article
- A systematic guide for identifying transcription factors that directly regulate the expression of a gene of interest.Genome research · 2026Review
- mRNA initiation and termination are spatially coordinated.Science (New York, N.Y.) · 2025Article
- Transcriptomics in the era of long-read sequencing.Nature reviews. Genetics · 2025Review
- Automated high-throughput profiling of single-cell total transcriptome with scComplete-seq.Nucleic acids research · 2025Article
- Quantification of single cell-type-specific alternative transcript initiation.bioRxiv : the preprint server for biology · 2025Article
- Predicting and comparing transcription start sites in single cell populations.PLoS computational biology · 2025Article
- mRNA initiation and termination are spatially coordinated.bioRxiv : the preprint server for biology · 2024Article
- CamoTSS: analysis of alternative transcription start sites for cellular phenotypes and regulatory patterns from 5' scRNA-seq data.Nature communications · 2023Article
- Alternative Transcripts Diversify Genome Function for Phenome Relevance to Health and Diseases.Genes · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Five-prime single-cell RNA-seq (scRNA-seq) has been widely employed to profile cellular transcriptomes, however, its power of analysing transcription start sites (TSS) has not been fully utilised. Here, we present a computational method suite, CamoTSS, to precisely identify TSS and quantify its expression by leveraging the cDNA on read 1, which enables effective detection of alternative TSS usage. With various experimental data sets, we have demonstrated that CamoTSS can accurately identify TSS and the detected alternative TSS usages showed strong specificity in different biological processes, including cell types across human organs, the development of human thymus, and cancer conditions. As evidenced in nasopharyngeal cancer, alternative TSS usage can also reveal regulatory patterns including systematic TSS dysregulations.
Indexed as
Identifiers
What OpenQuestion holds
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.