ReviewComputational and structural biotechnology journal2020
Technological advances and computational approaches for alternative splicing analysis in single cells.
Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- Unraveling the FGFR-RNA splicing axis: Mechanisms, oncogenic crosstalks and innovations for therapeutic purpose.Acta pharmaceutica Sinica. B · 2026Review
- Single-cell transcriptomics and functional validation revealed PLEKHA5-L as a promoter of growth and migration in brain metastatic melanoma cells.Frontiers in oncology · 2025Article
- Supervised analysis of alternative polyadenylation from single-cell and spatial transcriptomics data with spvAPA.Briefings in bioinformatics · 2024Article
- Loss-of-function mutation in PRMT9 causes abnormal synapse development by dysregulation of RNA alternative splicing.Nature communications · 2024Article
- CamoTSS: analysis of alternative transcription start sites for cellular phenotypes and regulatory patterns from 5' scRNA-seq data.Nature communications · 2023Article
- MARVEL: an integrated alternative splicing analysis platform for single-cell RNA sequencing data.Nucleic acids research · 2023Article
- scAPAmod: Profiling Alternative Polyadenylation Modalities in Single Cells from Single-Cell RNA-Seq Data.International journal of molecular sciences · 2022Article
- Profiling of the full-length transcriptome in abdominal aortic aneurysm using nanopore-based direct RNA sequencing.Open biology · 2022Article
- Single-Cell Analysis of the Transcriptome and Epigenome.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Computing the Role of Alternative Splicing in Cancer.Trends in cancer · 2021Review
- VALERIE: Visual-based inspection of alternative splicing events at single-cell resolution.PLoS computational biology · 2020Article
- RNA-Seq Analysis Reveals Localization-Associated Alternative Splicing across 13 Cell Lines.Genes · 2020Article
- Splicing regulation in brain and testis: common themes for highly specialized organs.Cell cycle (Georgetown, Tex.)Review
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 1 institution in 1 country.
Funding
Abstract
Alternative splicing of RNAs generates isoform diversity, resulting in different proteins that are necessary for maintaining cellular function and identity. The discovery of alternative splicing has been revolutionized by next-generation transcriptomic sequencing mainly using bulk RNA-sequencing, which has unravelled RNA splicing and mis-splicing of normal cells under steady-state and stress conditions. Single-cell RNA-sequencing studies have focused on gene-level expression analysis and revealed gene expression signatures distinguishable between different cellular types. Single-cell alternative splicing is an emerging area of research with the promise to reveal transcriptomic dynamics invisible to bulk- and gene-level analysis. In this review, we will discuss the technological advances for single-cell alternative splicing analysis, computational strategies for isoform detection and quantitation in single cells, and current applications of single-cell alternative splicing analysis and its potential future contributions to personalized medicine.
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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.