Evidence map›Paper›PMID 36789421›Full record

ArticlebioRxiv : the preprint server for biology2023

Cell-free Chromatin Immunoprecipitation to detect molecular pathways in Physiological and Disease States.

Moon K Jang, Tovah E Markowitz, Temesgen E Andargie, Zainab Apalara, Skyler Kuhn, Sean Agbor-Enoh

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Moon K JangGenomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD.
Tovah E MarkowitzNIAID Collaborative Bioinformatics Resource, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD.
Temesgen E AndargieGenomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD.
Zainab ApalaraGenomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD.
Skyler KuhnNIAID Collaborative Bioinformatics Resource, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD.
Sean Agbor-EnohGenomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD.
National Heart Lung and Blood Institute · USNational Institute of Allergy and Infectious Diseases · USJohns Hopkins University · US

Funding

Infectious Diseases Research Technologies Core - BethesdaZICAI001051 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI CHERRY, JAMES · 2009 to 2025
$226.1M
6 · The paper itself

Abstract

Patient monitoring is a cornerstone in clinical practice to define disease phenotypes and guide clinical management. Unfortunately, this is often reliant on invasive and/or less sensitive methods that do not provide deep phenotype assessments of disease state to guide treatment. This paper examined plasma cell-free DNA chromatin immunoprecipitation sequencing (cfChIP-seq) to define molecular gene sets in physiological and heart transplant patients taking immunosuppression medications. We show cfChIP-seq reliably detect gene signals that correlate with gene expression. In healthy controls and in heart transplant patients, cfChIP-seq reliably detected housekeeping genes. cfChIP-seq identified differential gene signals of the relevant immune and non-immune molecular pathways that were predominantly downregulated in immunosuppressed heart transplant patients compared to healthy controls. cfChIP-seq also identified tissue sources of cfDNA, detecting greater cell-free DNA from cardiac, hematopoietic, and other non-hematopoietic tissues such as the pulmonary, digestive, and neurological tissues in transplant patients than healthy controls. cfChIP-seq gene signals were reproducible between patient populations and blood collection methods. cfChIP-seq may therefore be a reliable approach to provide dynamic assessments of molecular pathways and tissue injury associated to disease.

Identifiers

PMID36789421
PMCPMC9928031
OpenAlexW4318040695

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.