Evidence map›Paper›PMID 39183289›Full record

ArticleNature communications2024

Accurate long-read transcript discovery and quantification at single-cell, pseudo-bulk and bulk resolution with Isosceles.

Michal Kabza, Alexander Ritter, Ashley Byrne, Kostianna Sereti, Daniel Le, William Stephenson, Timothy Sterne-Weiler

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  4. Role of alternative splicing in cancer progression.Irish journal of medical science · 2026
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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

7 authors.

Michal KabzaRoche Informatics, F. Hoffmann-La Roche Ltd, Poznań, Poland.
Alexander RitterComputational Biology & Translation, Genentech Inc., South San Francisco, CA, USA.ORCID 0000-0002-1998-7357
Ashley ByrneDepartment of Next Generation Sequencing and Microchemistry, Proteomics and Lipidomics, Genentech Inc., South San Francisco, CA, USA.ORCID 0000-0002-2177-924X
Kostianna SeretiDepartment of Discovery Oncology, Genentech Inc., South San Francisco, CA, USA.
Daniel LeDepartment of Next Generation Sequencing and Microchemistry, Proteomics and Lipidomics, Genentech Inc., South San Francisco, CA, USA.
William StephensonDepartment of Next Generation Sequencing and Microchemistry, Proteomics and Lipidomics, Genentech Inc., South San Francisco, CA, USA.ORCID 0000-0002-3779-417X
Timothy Sterne-WeilerComputational Biology & Translation, Genentech Inc., South San Francisco, CA, USA. sterneweiler.timothy@gene.com.ORCID 0000-0003-2023-0383

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate detection and quantification of mRNA isoforms from nanopore long-read sequencing remains challenged by technical noise, particularly in single cells. To address this, we introduce Isosceles, a computational toolkit that outperforms other methods in isoform detection sensitivity and quantification accuracy across single-cell, pseudo-bulk and bulk resolution levels, as demonstrated using synthetic and biologically-derived datasets. Here we show Isosceles improves the fidelity of single-cell transcriptome quantification at the isoform-level, and enables flexible downstream analysis. As a case study, we apply Isosceles, uncovering coordinated splicing within and between neuronal differentiation lineages. Isosceles is suitable to be applied in diverse biological systems, facilitating studies of cellular heterogeneity across biomedical research applications.

Indexed as

RNA, MessengerSingle-Cell AnalysisAnimalsComputational BiologyGene Expression ProfilingHumansMiceNanopore SequencingNeuronsProtein IsoformsSequence Analysis, RNASoftwareTranscriptomeProtein IsoformsRNA, Messenger

Identifiers

PMID39183289
PMCPMC11345431

What OpenQuestion holds

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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.