Evidence map›Paper›PMID 40501805›Full record

ArticlebioRxiv : the preprint server for biology2025

A Systematic Benchmark of High-Accuracy PacBio Long-Read RNA Sequencing for Transcript-Level Quantification.

David Wissel, Madison M Mehlferber, Khue M Nguyen, Vasilii Pavelko, Elizabeth Tseng, Mark D Robinson, Gloria M Sheynkman

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

7 authors.

David WisselDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.ORCID 0009-0000-9181-0583
Madison M MehlferberDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0001-9598-8100
Khue M NguyenCenter for Digital Health, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin, Berlin, Germany.
Vasilii PavelkoDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0001-8142-1621
Elizabeth TsengPacific Biosciences, Menlo Park, CA, USA.ORCID 0000-0002-1074-5095
Mark D RobinsonDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-3048-5518
Gloria M SheynkmanDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-4223-9947

Funding

BASIC CARDIOVASCULAR RESEARCH TRAINING GRANTT32HL007284 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Brant E Isakson, Gary K Owens · 1985 to 2026
$19.6M
Uncovering the functional diversification mechanisms of transcription factor isoforms involved in stem cell differentiationR35GM142647 · NIGMS · UNIVERSITY OF VIRGINIA · PI SHEYNKMAN, GLORIA · 2021 to 2025
$2.1M
NHLBI NIH HHS T32 HL007284NIGMS NIH HHS R35 GM142647
6 · The paper itself

Abstract

PacBio long-read RNA sequencing resolves transcripts with greater clarity than short-read technologies, yet its quantitative performance remains under-evaluated at scale. Here, we benchmark the high-throughput PacBio Kinnex platform against Illumina short-read RNA-seq using matched, deeply sequenced datasets across a time course of endothelial cell differentiation. Compared to Illumina, Kinnex achieved comparable gene-level quantification and more accurate transcript discovery and transcript quantification. While Illumina detected more transcripts overall, many reflected potentially unstable or ambiguous estimates in complex genes. Kinnex largely avoids these issues, producing more reliable differential transcript expression (DTE) calls, despite a mild bias against short transcripts (<1.25 kb). When correcting Illumina for inferential variability, Kinnex and Illumina quantifications were highly concordant, demonstrating equivalent performance. We also benchmarked long-read tools, nominating Oarfish as the most efficient for our Kinnex data. Together, our results establish Kinnex as a reliable platform for full-length transcript quantification.

Indexed as

endothelial cellsLong-read RNA-seqPacBioquantification

Identifiers

PMID40501805
PMCPMC12157514

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.