Evidence map›Paper›PMID 34872615›Full record

ArticleGenome biology2021

Single-cell characterization of CRISPR-modified transcript isoforms with nanopore sequencing.

Heon Seok Kim, Susan M Grimes, Anna C Hooker, Billy T Lau, Hanlee P Ji

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Advances in single-cell long-read sequencing technologies.NAR genomics and bioinformatics · 2024
    Article
  7. Review
  8. Review
  9. Article
  10. Massively Parallel CRISPR-Based Genetic Perturbation Screening at Single-Cell Resolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Heon Seok KimDivision of Oncology, Department of Medicine, Stanford University School of Medicine, CCSR 1115, 269 Campus Drive, Stanford, CA-94305, USA.
Susan M GrimesDivision of Oncology, Department of Medicine, Stanford University School of Medicine, CCSR 1115, 269 Campus Drive, Stanford, CA-94305, USA.
Anna C HookerDivision of Oncology, Department of Medicine, Stanford University School of Medicine, CCSR 1115, 269 Campus Drive, Stanford, CA-94305, USA.
Billy T LauDivision of Oncology, Department of Medicine, Stanford University School of Medicine, CCSR 1115, 269 Campus Drive, Stanford, CA-94305, USA.
Hanlee P JiDivision of Oncology, Department of Medicine, Stanford University School of Medicine, CCSR 1115, 269 Campus Drive, Stanford, CA-94305, USA. genomics_ji@stanford.edu.ORCID 0000-0003-3772-3424
Stanford University · USStanford Medicine · US

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
Statistical Models for Genome Sequencing and AssociationR01HG006137 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JI, HANLEE P, ZHANG, NANCY R · 2011 to 2022
$4.3M
Omics information maximization in single-cell sequencing with hybrid molecular and computational approachesR35HG011292 · NHGRI · STANFORD UNIVERSITY · PI LAU, BILLY TSZ CHEONG · 2020 to 2024
$2.3M
K-mer indexing for pan-genome reference annotationU01HG010963 · NHGRI · STANFORD UNIVERSITY · PI JI, HANLEE P, WEISSMAN, TSACHY · 2020 to 2023
$1.3M
Multimodal iterative sequencing of cancer genomes and single tumor cellsR33CA247700 · NCI · STANFORD UNIVERSITY · PI JI, HANLEE P · 2021 to 2023
$1.1M
NCI NIH HHS R33 CA247700NHGRI NIH HHS P01 HG000205NHGRI NIH HHS R01 HG006137NHGRI NIH HHS R35 HG011292NHGRI NIH HHS U01 HG010963
6 · The paper itself

Abstract

We developed a single-cell approach to detect CRISPR-modified mRNA transcript structures. This method assesses how genetic variants at splicing sites and splicing factors contribute to alternative mRNA isoforms. We determine how alternative splicing is regulated by editing target exon-intron segments or splicing factors by CRISPR-Cas9 and their consequences on transcriptome profile. Our method combines long-read sequencing to characterize the transcript structure and short-read sequencing to match the single-cell gene expression profiles and gRNA sequence and therefore provides targeted genomic edits and transcript isoform structure detection at single-cell resolution.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsAlternative SplicingExonsGenomicsHEK293 CellsHumansNanopore SequencingNeoplasm ProteinsProtein IsoformsReceptors for Activated C KinaseRNA, Guide, CRISPR-Cas SystemsRNA IsoformsRNA SplicingTranscriptomeNeoplasm ProteinsProtein IsoformsRACK1 protein, humanReceptors for Activated C KinaseRNA, Guide, CRISPR-Cas SystemsRNA IsoformsAlternative splicingSingle-cell CRISPR screenSingle-cell long-read CRISPR screenSingle-cell long-read sequencingSingle-cell sequencingTranscript isoform

Identifiers

PMID34872615
PMCPMC8647366
OpenAlexW4226080920

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.