PUBLICATION

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

Authors
Tallan, A., Kucinski, J., Sunkel, B., Taslim, C., LaHaye, S., Liu, Q., Qi, J., Wang, M., Kendall, G.C., Stanton, B.Z.
ID
ZDB-PUB-250521-7
Date
2025
Source
Cell reports methods : 101052101052 (Journal)
Registered Authors
Kendall, Genevieve
Keywords
CP: molecular biology, CP: systems biology, Nextflow, chromatin sequencing, cross-species epigenomics, genomics normalization, quantitative epigenomics, sarcoma, transcription factor
MeSH Terms
  • Animals
  • Protein Binding
  • Zebrafish/genetics
  • Genome*
  • Chromatin Immunoprecipitation Sequencing*/methods
  • Humans
  • Chromatin*/genetics
  • Chromatin*/metabolism
  • Computational Biology/methods
  • Epigenomics/methods
  • Cell Line, Tumor
PubMed
40393455 Full text @ Cell Rep Methods
Abstract
Quantitative comparison of ChIP-seq profiling between experimental conditions or samples remains technically challenging for the epigenetics field. Here, we report a strategy combining the use of well-defined cellular spike-in ratios of orthologous species' chromatin and a bioinformatic analysis pipeline to facilitate highly quantitative comparisons of 2D chromatin sequencing across experimental conditions. We find that the PerCell methodology results in efficient and consistent levels of spike-in vs. experimental genomic reads. We demonstrate use of the method and pipeline to enable quantitative, internally normalized chromatin sequencing on zebrafish embryos and human cancer cells. Overall, we propose the PerCell method to enable cross-species comparative epigenomics and promote uniformity of data analyses and sharing across labs.
Genes / Markers
Figures
Show all Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping