ReviewCellular and molecular life sciences : CMLS2011
Systematic characterization of protein-DNA interactions.
Review in Cellular and molecular life sciences : CMLS, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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
17 citing papers in PubMed.
- DNAreader: accurate prediction of DNA-binding residues in structured and disordered proteins using transformers and contrastive learning.Nucleic acids research · 2026Article
- A rapid test for protein-DNA interactions.Nucleic acids research · 2026Article
- The regulation of pedicle initiation by androgens in sika deer (Cervus nippon).Frontiers in cell and developmental biology · 2025Article
- Accurate Prediction of Protein-Binding Residues in Protein Sequences Using SCRIBER.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Spatiotemporal and global profiling of DNA-protein interactions enables discovery of low-affinity transcription factors.Nature chemistry · 2023Article
- Regulation ofFrontiers in microbiology · 2022Article
- Transcription factors in the pathogenesis of pulmonary arterial hypertension-Current knowledge and therapeutic potential.Frontiers in cardiovascular medicine · 2022Review
- I-Block: a simple Escherichia coli-based assay for studying sequence-specific DNA binding of proteins.Nucleic acids research · 2020Article
- SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences.Bioinformatics (Oxford, England) · 2019Article
- JASPAR 2018: update of the open-access database of transcription factor binding profiles and its web framework.Nucleic acids research · 2018Article
- Nanobody(R)-based chromatin immunoprecipitation/micro-array analysis for genome-wide identification of transcription factor DNA binding sites.Nucleic acids research · 2013Article
- Functional protein microarray as molecular decathlete: a versatile player in clinical proteomics.Proteomics. Clinical applications · 2012Review
- Latest developments in experimental and computational approaches to characterize protein-lipid interactions.Proteomics · 2012Review
- Diversity in genetic in vivo methods for protein-protein interaction studies: from the yeast two-hybrid system to the mammalian split-luciferase system.Microbiology and molecular biology reviews : MMBR · 2012Review
- Experimental approaches to identify cellular G-quadruplex structures and functions.Methods (San Diego, Calif.) · 2012Article
- Direct iterative protein profiling (DIPP) - an innovative method for large-scale protein detection applied to budding yeast mitosis.Molecular & cellular proteomics : MCP · 2012Article
- Decoding complexity: tackling the challenge of how many transcription factors regulate a plant gene.TranscriptionReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sequence-specific protein-DNA interactions (PDIs) are critical for regulating many cellular processes, including transcription, DNA replication, repair, and rearrangement. We review recent experimental advances in high-throughput technologies designed to characterize PDIs and discuss recent studies that use these tools, including ChIP-chip/seq, SELEX-based approaches, yeast one-hybrid, bacterial one-hybrid, protein binding microarray, and protein microarray. The results of these studies have challenged some long-standing concepts of PDI and provide valuable insights into the complex transcriptional regulatory networks.
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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.