Evidence map›Paper›PMID 35402909›Full record

ArticleNAR genomics and bioinformatics2022

nMOWChIP-seq: low-input genome-wide mapping of non-histone targets.

Zhengzhi Liu, Lynette B Naler, Yan Zhu, Chengyu Deng, Qiang Zhang, Bohan Zhu, Zirui Zhou, Mimosa Sarma, Alexander Murray, Hehuang Xie and 1 more

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

11 authors.

Zhengzhi LiuDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, USA.
Lynette B NalerDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.
Yan ZhuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.
Chengyu DengDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.
Qiang ZhangDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.
Bohan ZhuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.
Zirui ZhouDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.
Mimosa SarmaDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.
Alexander MurrayDepartment of Biomedical Sciences & Pathobiology, Virginia Tech, Blacksburg, VA, USA.
Hehuang XieDepartment of Biomedical Sciences & Pathobiology, Virginia Tech, Blacksburg, VA, USA.ORCID https://orcid.org/0000-0001-5739-1653
Chang LuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.ORCID https://orcid.org/0000-0003-0181-5888

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Understanding Progesterone Receptor action in Obesity for Endometrial Cancer PreventionR01CA243249 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KIM, JI-YONG JULIE · 2019 to 2024
$2.6M
Functional RNA Modifications, Micronutrient Exposure, Developmental DisabilitiesR01ES031521 · NIEHS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI WANG, XIAOBIN, XIE, HEHUANG · 2020 to 2024
$1.9M
The epigenetic role of EGR1 during postnatal brain development and in neuronal activityR01NS094574 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI XIE, HEHUANG · 2016 to 2020
$1.7M
Probing dynamics in protein-DNA interactions during disease development using sinR01EB017235 · NIBIB · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2014 to 2017
$1.3M
Next-generation MOWChIP-seq for high-throughput epigenomic profiling using clinically relevant samplesR33CA214176 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2017 to 2019
$1.2M
Exploring epigenetic regulation of memory extinctionR21MH120498 · NIMH · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI JAROME, TIMOTHY JOSEPH, XIE, HEHUANG · 2020 to 2020
$419k
NCI NIH HHS P30 CA012197NCI NIH HHS R01 CA243249NCI NIH HHS R33 CA214176NIBIB NIH HHS R01 EB017235NIEHS NIH HHS R01 ES031521NIMH NIH HHS R21 MH120498NINDS NIH HHS R01 NS094574
6 · The paper itself

Abstract

Genome-wide profiling of interactions between genome and various functional proteins is critical for understanding regulatory processes involved in development and diseases. Conventional assays require a large number of cells and high-quality data on tissue samples are scarce. Here we optimized a low-input chromatin immunoprecipitation followed by sequencing (ChIP-seq) technology for profiling RNA polymerase II (Pol II), transcription factor (TF), and enzyme binding at the genome scale. The new approach produces high-quality binding profiles using 1,000-50,000 cells. We used the approach to examine the binding of Pol II and two TFs (EGR1 and MEF2C) in cerebellum and prefrontal cortex of mouse brain and found that their binding profiles are highly reflective of the functional differences between the two brain regions. Our analysis reveals the potential for linking genome-wide TF or Pol II profiles with neuroanatomical origins of brain cells.

Identifiers

PMID35402909
PMCPMC8988714

What Socratic 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 Socratic graph.