Evidence map›Paper›PMID 42384492›Full record

ArticleSTAR protocols2026

LOTR-Seq: A protocol for large-scale simultaneous single-cell long-read genotyping of transcripts.

Julian Grabek, Leanne Cooper, Rohit Haldar, Jenny Quiatchon, Nadine Fitzpatrick, Paul Collins, Steven W Lane, Megan J Bywater, Jasmin Straube

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Julian GrabekCancer Research Program, QIMR Berghofer, Brisbane, QLD 4006, Australia; The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia.
Leanne CooperCancer Research Program, QIMR Berghofer, Brisbane, QLD 4006, Australia.
Rohit HaldarCancer Research Program, QIMR Berghofer, Brisbane, QLD 4006, Australia.
Jenny QuiatchonScientific Services, QIMR Berghofer, Brisbane, QLD 4006, Australia.
Nadine FitzpatrickScientific Services, QIMR Berghofer, Brisbane, QLD 4006, Australia.
Paul CollinsScientific Services, QIMR Berghofer, Brisbane, QLD 4006, Australia.
Steven W LaneCancer Research Program, QIMR Berghofer, Brisbane, QLD 4006, Australia; The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia; Cancer Care Services, Royal Brisbane and Women's Hospital, Brisbane, QLD 4006, Australia. Electronic address: steven.lane@qimrb.edu.au.
Megan J BywaterCancer Research Program, QIMR Berghofer, Brisbane, QLD 4006, Australia; The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia. Electronic address: megan.bywater@qimrb.edu.au.
Jasmin StraubeCancer Research Program, QIMR Berghofer, Brisbane, QLD 4006, Australia; The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia. Electronic address: jasmin.straube@qimrb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing enables analysis of intra-tumoral transcriptional heterogeneity but has limited coverage of mutational hotspots. Here, we present LOTR-Seq, a protocol combining short-read whole-transcriptome analysis with long-read genotyping. We describe steps for hematopoietic stem cell isolation from human bone marrow samples, generation of full-length single-cell barcoded cDNA, target enrichment, and long-read sequencing for variant calling. For complete details on the use and execution of this protocol, please refer to Grabek et al.

Indexed as

CancerGene expressionGeneticsRNAseqSequence analysisSequencingSingle cell

Identifiers

PMID42384492
PMCPMC13343130

What Socratic holds

Textmetadata
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 Socratic graph.