Evidence map›Paper›PMID 40316593›Full record

ArticleScientific reports2025

TIRE-seq simplifies transcriptomics via integrated RNA capture and library preparation.

Piper O'Keeffe, Yasmin Nouri, Hui Shi Saw, Zachery Moore, Tracey M Baldwin, Sam W Z Olechnowicz, Jafar S Jabbari, David McG Squire, Stephen Leslie, Changqing Wang and 13 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

23 authors.

Piper O'Keeffe *The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Yasmin Nouri *The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Hui Shi Saw *The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Zachery Moore *The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Tracey M BaldwinThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Sam W Z OlechnowiczThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Jafar S JabbariThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
David McG SquireMelbourne Integrative Genomics, University of Melbourne, Parkville, VIC, 3010, Australia.
Stephen LeslieMelbourne Integrative Genomics, University of Melbourne, Parkville, VIC, 3010, Australia.
Changqing WangThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Yupei YouThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Matthew E RitchieThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Ryan S CrossThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Misty R JenkinsThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Cindy AudigerThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Shalin H NaikThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
James R WhittleThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Saskia FreytagThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Sarah A BestThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Peter F HickeyThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Daniela Amann-ZalcensteinThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia.
Rory BowdenThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia. bowden.r@wehi.edu.au.
Daniel V BrownThe Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade VIC, Melbourne, VIC, 3052, Australia. brown.d@wehi.edu.au.

Funding

NHMRC Investigator Grant APP2032982VCA mid-career research fellowship MCRF22003
6 · The paper itself

Abstract

RNA sequencing (RNA-seq) is widely used in biomedical research, advancing our understanding of gene expression across biological systems. Traditional methods require upstream RNA extraction from biological inputs, adding time and expense to workflows. We developed TIRE-seq (Turbocapture Integrated RNA Expression Sequencing) to address these challenges. TIRE-seq integrates mRNA purification directly into library preparation, eliminating the need for a separate extraction step. This streamlined approach reduces turnaround time, minimizes sample loss, and improves data quality. A comparative study with the widely used Prime-seq protocol demonstrates TIRE-seq's superior sequencing efficiency with crude cell lysates as inputs. TIRE-seq's utility was demonstrated across three biological applications. It captured transcriptional changes in stimulated human T cells, revealing activation-associated gene expression profiles. It also identified key genes driving murine dendritic cell differentiation, providing insights into lineage commitment. Lastly, TIRE-seq analyzed the dose-response and time-course effects of temozolomide on patient-derived neurospheres, identifying differentially expressed genes and enriched pathways linked to the drug's mechanism of action. With its simplified workflow and high sequencing efficiency, TIRE-seq offers a cost-effective solution for large-scale gene expression studies across diverse biological systems.

Indexed as

Gene Expression ProfilingGene LibraryRNA-SeqSequence Analysis, RNATranscriptomeAnimalsCell DifferentiationDendritic CellsHigh-Throughput Nucleotide SequencingHumansMiceRNA, MessengerTemozolomideT-LymphocytesRNA, MessengerTemozolomideExtractionHigh throughputRNATranscriptomics

Identifiers

PMID40316593
PMCPMC12048512

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.