ArticleThe Journal of biological chemistry2019
Single-cell RNA-Seq analysis identifies a noncoding
Article in The Journal of biological chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 9 citations in OpenAlex.
- Human messenger RNA harbors widespread noncoding splice isoforms.Briefings in bioinformatics · 2026Article
- The role of lncRNAs in the tumor microenvironment and immunotherapy of melanoma.Frontiers in immunology · 2022Review
- The holobiont transcriptome of teneral tsetse fly species of varying vector competence.BMC genomics · 2021Article
- Best practices on the differential expression analysis of multi-species RNA-seq.Genome biology · 2021Review
- Potential impact and mechanism of Long Non-coding RNAs on cancer and associated T cells.Journal of Cancer · 2021Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput sequencing has revealed a tremendous complexity of cellular transcriptomes, which is partly due to the generation of multiple alternative transcripts from a single gene locus. Because alternative transcripts often have low abundance in bulk cells, the functions of most of these transcripts and their relationship with their canonical counterparts remain unclear. Here we applied single-cell RNA-Seq to analyze the transcriptome complexity of
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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.