Evidence map›Paper›PMID 40683866›Full record

ArticleNature communications2025

Single cell and spatial alternative splicing analysis with Nanopore long read sequencing.

Yuntian Fu, Heonseok Kim, Sharmili Roy, Sijia Huang, Jenea I Adams, Susan M Grimes, Billy T Lau, Anuja Sathe, Hanlee P Ji, Nancy R Zhang

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

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  16. The "cutting edge" of non-canonical RNA splicing.Frontiers in molecular biosciences · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yuntian FuGraduate Program in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. yuntianf@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0002-7092-2671
Heonseok KimDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5981-3511
Sharmili RoyDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Sijia HuangDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Jenea I AdamsGraduate Program in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Susan M GrimesDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Billy T LauDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Anuja SatheDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2100-0013
Hanlee P JiDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. genomics_ji@stanford.edu.ORCID http://orcid.org/0000-0003-3772-3424
Nancy R ZhangGraduate Program in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. nzh@wharton.upenn.edu.ORCID http://orcid.org/0000-0002-0880-5749

Funding

Project 3: Molecular Risk Stratification of Gastric Precancerous LesionsP01CA265772 · NCI · STANFORD UNIVERSITY · PI Summer S Han · 2023 to 2026
$9.0M
Systematic discovery of neomorph protein-protein interactions in cancer for oncogenic pathway perturbationU01CA217875 · NCI · EMORY UNIVERSITY · PI FU, HAIAN · 2017 to 2021
$4.5M
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
Single cell modeling of cancer mutationsR33CA278469 · NCI · STANFORD UNIVERSITY · PI JI, HANLEE P · 2023 to 2025
$1.2M
Multimodal iterative sequencing of cancer genomes and single tumor cellsR33CA247700 · NCI · STANFORD UNIVERSITY · PI JI, HANLEE P · 2021 to 2023
$1.1M
Computer ClusterS10OD021763 · OD · STANFORD UNIVERSITY · PI JI, HANLEE P · 2016 to 2016
$481k
NCI NIH HHS P01 CA265772NCI NIH HHS R33 CA247700NCI NIH HHS R33 CA278469NHGRI NIH HHS R01 HG006137NHGRI NIH HHS R35 HG011292NIH HHS S10 OD021763U.S. Department of Health & Human Services | National Institutes of Health (NIH) R33CA247700U.S. Department of Health & Human Services | National Institutes of Health (NIH) R35HG011292-01U.S. Department of Health & Human Services | National Institutes of Health (NIH) U01CA217875
6 · The paper itself

Abstract

Long-read sequencing boosts alternative splicing analysis but faces technical and computational barriers in single-cell and spatial settings. High Nanopore error rates compromise cell barcode and UMI recovery, while read truncation and misalignment undermine isoform quantification. Downstream, a statistical framework to assess splicing variation within and between cells or spatial spots is lacking. We introduce Longcell, a statistical and computational pipeline for isoform quantification from single-cell and spatially barcoded Nanopore long reads. Longcell efficiently recovers cell barcodes and UMIs, corrects sequencing errors, and models splicing diversity within and between cells or spots. Applied across multiple datasets, Longcell allows accurate identification of spatial isoform switching. Longcell also reveals widespread high intra-cell isoform heterogeneity for highly expressed genes. Finally, on a perturbation experiment for 9 splicing factors, Longcell identifies regulatory targets that are validated by targeted sequencing.

Indexed as

Alternative SplicingNanoporesNanopore SequencingSingle-Cell AnalysisComputational BiologyHigh-Throughput Nucleotide SequencingHumansProtein IsoformsSequence Analysis, RNAProtein Isoforms

Identifiers

PMID40683866
PMCPMC12276307

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.