Evidence map›Paper›PMID 42427615›Full record

ArticlebioRxiv : the preprint server for biology2026

A Simple, Cost-Effective, High-Throughput Method for Measuring Chromatin Accessibility and Gene Expression in Single Nuclei.

Zhifei Luo, William J Greenleaf

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

2 authors.

Zhifei LuoDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0002-4691-8074
William J GreenleafDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0003-1409-3095

Funding

VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
Combinatorial Cell State EngineeringDP1HG013599 · NHGRI · STANFORD UNIVERSITY · PI William James Greenleaf · 2023 to 2026
$5.4M
Defining and perturbing gene regulatory dynamics in the developing human brainR01NS128028 · NINDS · STANFORD UNIVERSITY · PI William James Greenleaf · 2023 to 2026
$2.4M
Defining and perturbing gene regulatory dynamics in the developing human heart to understand mechanisms of congenital heart defectsR01HL171611 · NHLBI · STANFORD UNIVERSITY · PI William James Greenleaf · 2024 to 2026
$2.1M
Fast, powerful, scalable, usable, and distributable methods for multi-modal single cell analysesR01HG013317 · NHGRI · STANFORD UNIVERSITY · PI William James Greenleaf · 2024 to 2026
$2.1M
NHGRI NIH HHS DP1 HG013599NHGRI NIH HHS R01 HG013317NHLBI NIH HHS R01 HL171611NIAID NIH HHS U19 AI057266NINDS NIH HHS R01 NS128028
6 · The paper itself

Abstract

We describe microfluidic-free, droplet-based methods for single-nucleus epigenomic measurements: Particle-templated Instant Partition single-nucleus assay for transposase-accessible chromatin using sequencing (PIP-ATAC-seq) and its multiomic version (PIP-Multiome-seq). We benchmarked these assays by generating data sets containing thousands of nuclei using cell lines and mouse brains and compared to other established methods. PIP-Multiome and PIP-ATAC are straightforward to implement, affordable, and produce high-quality data, providing useful additions to the single-cell molecular measurement armamentarium.

Identifiers

PMID42427615
PMCPMC13345327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.