Evidence map›Paper›PMID 37016279›Full record

ArticleBMC genomics2023

Titration-based normalization of antibody amount improves consistency of ChIP-seq experiments.

Ariel Caride, Jin Sung Jang, Geng-Xian Shi, Sam Lenz, Jian Zhong, Kwan Hyun Kim, Mariet Allen, Keith D Robertson, Gianrico Farrugia, Tamas Ordog and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Chromatin Immunoprecipitation Sequencing in Cancer Cells.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Article
  9. 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

12 authors.

Ariel Caride *Epigenomics Development Laboratory, Epigenomics Program, Center for Individualized Medicine, Mayo Clinic, Stabile Building 12-04, 200 First Street SW, Rochester, MN, USA.
Jin Sung Jang *Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Geng-Xian ShiEpigenomics Development Laboratory, Epigenomics Program, Center for Individualized Medicine, Mayo Clinic, Stabile Building 12-04, 200 First Street SW, Rochester, MN, USA.
Sam LenzEpigenomics Development Laboratory, Epigenomics Program, Center for Individualized Medicine, Mayo Clinic, Stabile Building 12-04, 200 First Street SW, Rochester, MN, USA.
Jian ZhongEpigenomics Development Laboratory, Epigenomics Program, Center for Individualized Medicine, Mayo Clinic, Stabile Building 12-04, 200 First Street SW, Rochester, MN, USA.
Kwan Hyun KimEpigenomics Development Laboratory, Epigenomics Program, Center for Individualized Medicine, Mayo Clinic, Stabile Building 12-04, 200 First Street SW, Rochester, MN, USA.
Mariet AllenDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
Keith D RobertsonDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Gianrico FarrugiaEnteric Neuroscience Program, Mayo Clinic, Rochester, MN, USA.
Tamas OrdogEpigenomics Development Laboratory, Epigenomics Program, Center for Individualized Medicine, Mayo Clinic, Stabile Building 12-04, 200 First Street SW, Rochester, MN, USA.
Nilüfer Ertekin-TanerDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
Jeong-Heon LeeEpigenomics Development Laboratory, Epigenomics Program, Center for Individualized Medicine, Mayo Clinic, Stabile Building 12-04, 200 First Street SW, Rochester, MN, USA. Lee.JeongHeon@mayo.edu.ORCID http://orcid.org/0000-0003-4007-9166

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Integrating the exposome and methylome to inform brain molecular changes in ADRD across established diverse cohorts.U01AG046139 · NIA · UNIVERSITY OF FLORIDA · PI ERTEKIN-TANER, NILUFER, PETERS, METTE · 2013 to 2022
$24.6M
Physiological Characterization and Data Integration CoreP01DK068055 · NIDDK · MAYO CLINIC ROCHESTER · PI ORDOG, TAMAS · 2004 to 2019
$23.8M
PILOT AND FEASIBILTY PROGRAMP30DK084567 · NIDDK · MAYO CLINIC ROCHESTER · PI GREGORY J. GORES · 2009 to 2026
$22.2M
Interstitial Cells of Cajal in Diabetic GastropathyR01DK058185 · NIDDK · UNIVERSITY OF NEVADA RENO · PI ORDOG, TAMAS · 2002 to 2020
$5.2M
Epigenetic dysregulation in diabetic enteric neuropathyR01DK126827 · NIDDK · MAYO CLINIC ROCHESTER · PI ORDOG, TAMAS · 2021 to 2024
$2.1M
NCI NIH HHS P30 CA015083NIA NIH HHS U01 AG046139NIA NIH HHS U01AG046139NIDDK NIH HHS DK068055NIDDK NIH HHS P01 DK068055NIDDK NIH HHS P30 DK084567NIDDK NIH HHS P30DK084567NIDDK NIH HHS R01 DK058185NIDDK NIH HHS R01 DK126827
6 · The paper itself

Abstract

Chromatin immunoprecipitation (ChIP) is an antibody-based approach that is frequently utilized in chromatin biology and epigenetics. The challenge in experimental variability by unpredictable nature of usable input amounts from samples and undefined antibody titer in ChIP reaction still remains to be addressed. Here, we introduce a simple and quick method to quantify chromatin inputs and demonstrate its utility for normalizing antibody amounts to the optimal titer in individual ChIP reactions. For a proof of concept, we utilized ChIP-seq validated antibodies against the key enhancer mark, acetylation of histone H3 on lysine 27 (H3K27ac), in the experiments. The results indicate that the titration-based normalization of antibody amounts improves assay outcomes including the consistency among samples both within and across experiments for a broad range of input amounts.

Indexed as

Chromatin Immunoprecipitation SequencingHistonesAntibodiesChromatinChromatin ImmunoprecipitationAntibodiesChromatinHistonesAntibody titerChromatin immunoprecipitationChromatin quantificationExperimental consistencyH3K27ac

Identifiers

PMID37016279
PMCPMC10074837

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.