ReviewJournal of cellular biochemistry2009
Genomic location analysis by ChIP-Seq.
Review in Journal of cellular biochemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.
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.
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.
Who cites it
89 citing papers in PubMed.
- SLUR(M)-py: a SLURM powered Pythonic pipeline for parallel processing of 3D (Epi)genomic profiles.Epigenomics · 2025Article
- Synergistic roles of NFATc1 and c-Jun in immunomodulation.Biochemistry and biophysics reports · 2025Review
- Transcriptomic era of cancers in females: new epigenetic perspectives and therapeutic prospects.Frontiers in oncology · 2024Review
- Improved quality metrics for association and reproducibility in chromatin accessibility data using mutual information.BMC bioinformatics · 2023Article
- Review
- Genome-Wide Analysis of MAMSTR Transcription Factor-Binding Sites via ChIP-Seq in Porcine Skeletal Muscle Fibroblasts.Animals : an open access journal from MDPI · 2023Article
- Innovative trial design in precision oncology.Seminars in cancer biology · 2022Review
- 2LTRZFP Interacts Specifically to HIV-1 DNA without Off-Target Effects as Determined by Biolayer Interferometry.Biosensors · 2021Article
- Genome-wide analysis of PmTCP4 transcription factor binding sites by ChIP-Seq during pistil abortion in Japanese apricot.The plant genome · 2020Article
- ProbeRating: a recommender system to infer binding profiles for nucleic acid-binding proteins.Bioinformatics (Oxford, England) · 2020Article
- Single-Cell RNA Sequencing Efficiently Predicts Transcription Factor Targets in Plants.Frontiers in plant science · 2020Article
- A Unique Epigenomic Landscape Defines Human Erythropoiesis.Cell reports · 2019Article
- A nonparametric Bayesian basket trial design.Biometrical journal. Biometrische Zeitschrift · 2019Article
- Pinpointing the Genomic Localizations of Chromatin-Associated Proteins: The Yesterday, Today, and Tomorrow of ChIP-seq.Current protocols in cell biology · 2019Article
- Reiterative Mechanisms of Retinoic Acid Signaling during Vertebrate Heart Development.Journal of developmental biology · 2019Review
- Transcriptional interference by small transcripts in proximal promoter regions.Nucleic acids research · 2018Article
- SigSeeker: a peak-calling ensemble approach for constructing epigenetic signatures.Bioinformatics (Oxford, England) · 2017Article
- Rapid Recall Ability of Memory T cells is Encoded in their Epigenome.Scientific reports · 2017Article
- Subgroup-Based Adaptive (SUBA) Designs for Multi-Arm Biomarker Trials.Statistics in biosciences · 2016Article
- Proteomic profiling of nuclear fractions from native renal inner medullary collecting duct cells.Physiological genomics · 2016Article
29 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The interaction of a multitude of transcription factors and other chromatin proteins with the genome can influence gene expression and subsequently cell differentiation and function. Thus systematic identification of binding targets of transcription factors is key to unraveling gene regulation networks. The recent development of ChIP-Seq has revolutionized mapping of DNA-protein interactions. Now protein binding can be mapped in a truly genome-wide manner with extremely high resolution. This review discusses ChIP-Seq technology, its possible pitfalls, data analysis and several early applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.