Evidence map›Paper›PMID 42139062›Full record

ArticleSTAR protocols2026

Protocol optimization to process mouse colon samples for single-nuclei RNA sequencing using FLEX library preparation.

Jin-Hee Kim, Annalyssa N Long, Yumo Xie, Kelly T Carter, Sophia R Noehl-Tekorius, Anna E Elz, Ming Yu

Abstract read
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

7 authors.

Jin-Hee KimTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Electronic address: jkim6@fredhutch.org.
Annalyssa N LongImmunotherapy Integrated Research Center, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Electronic address: along@fredhutch.org.
Yumo XieTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Kelly T CarterTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Sophia R Noehl-TekoriusTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Anna E ElzImmunotherapy Integrated Research Center, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Electronic address: aelz@fredhutch.org.
Ming YuTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Electronic address: myu@fredhutch.org.

Funding

Translational Science of Gastrointestinal Cancer Initiation and ProgressionR50CA233042 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Ming Yu · 2018 to 2026
$2.4M
NCI NIH HHS R50 CA233042
6 · The paper itself

Abstract

Single-nuclei RNA sequencing enables the interrogation of tissue microenvironments in clinical samples preserved by snap-freezing, where cell membrane damage precludes single-cell isolation, but nuclei remain intact for high-quality molecular profiling. Here, we present an optimized protocol to process mouse colon samples for single-nuclei RNA sequencing using FLEX library preparation. We describe steps for preparing and dissociating colon tissue, nuclei filtration, and fixation. We then detail procedures for Chromium Fixed RNA Profiling (Gene Expression Flex).

Indexed as

Cell NucleusColonGene LibrarySequence Analysis, RNASingle-Cell AnalysisAnimalsGene Expression ProfilingMiceRNASingle-Cell Gene Expression AnalysisRNAGene ExpressionGenomicsRNAseqSingle Cell

Identifiers

PMID42139062
PMCPMC13202279

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.