Evidence map›Paper›PMID 39071412›Full record

ArticlebioRxiv : the preprint server for biology2024

Highly quantitative measurement of differential protein-genome binding with PerCell chromatin sequencing.

Alexi Tallan, Jack Kucinski, Benjamin Sunkel, Cenny Taslim, Stephanie LaHaye, Qi Liu, Jun Qi, Meng Wang, Genevieve C Kendall, Benjamin Z Stanton

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

10 authors.

Alexi Tallan
Jack Kucinski
Benjamin Sunkel
Cenny Taslim
Stephanie LaHaye
Qi Liu
Jun Qi
Meng Wang
Genevieve C KendallORCID 0000-0003-3775-2006
Benjamin Z StantonORCID 0000-0002-2613-2955

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a universal strategy for 2D chromatin sequencing, to increase uniform data analyses and sharing across labs, and to facilitate highly quantitative comparisons across experimental conditions. Within our system, we provide wetlab and drylab tools for researchers to establish and analyze protein-genome binding data with PerCell ChIP-seq. Our methodology is virtually no cost and flexible, enabling rapid, quantitative, internally normalized chromatin sequencing to catalyze project development in a variety of systems, including in vivo zebrafish epigenomics and cancer cell epigenomics. While we highlight utility in these key areas, our methodology is flexible enough such that rapid comparisons of cellular spike-in versus non spike-in are possible, and generalizability to nuclease-based 2D chromatin sequencing would also be possible within the framework of our pipeline. Through the use of well-defined cellular ratios containing orthologous species' chromatin, we enable cross-species comparative epigenomics and highly quantitative low-cost chromatin sequencing with utility across a range of disciplines.

Identifiers

PMID39071412
PMCPMC11275836

What OpenQuestion holds

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Registered trials

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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.