ArticleNature methods2017
CrY2H-seq: a massively multiplexed assay for deep-coverage interactome mapping.
Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 82 papers.
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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.
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Who cites it
82 citing papers in PubMed, 184 citations in OpenAlex.
- SoPPIs: a highly parallelized protein-protein-interaction screening method in prokaryotic and eukaryotic hosts.Nucleic acids research · 2026Article
- Possible regulation ofmicroPublication biology · 2026Article
- Capturing protein-protein interactions in plants: recent advances, challenges, and opportunities.Frontiers in molecular biosciences · 2026Review
- SPOROCYTELESS/NOZZLE cooperates with MADS-domain transcription factors to regulate an auxin-dependent network controlling Megaspore-Mother-Cell differentiation.Nature communications · 2025Article
- TCP3-mediated regulation of cell expansion in Arabidopsis thaliana.The New phytologist · 2025Article
- JAG modulates sepal flatness by regulating cell growth direction, interacts with AS2, and is antagonized by TCP24.Cell reports · 2025Article
- NGPINT V3: a containerized orchestration Python software for discovery of next-generation protein-protein interactions.Bioinformatics (Oxford, England) · 2025Article
- SWI/SNF-type complexes-transcription factor interplay: a key regulatory interaction.Cellular & molecular biology letters · 2025Review
- Arabidopsis research in 2030: Translating the computable plant.The Plant journal : for cell and molecular biology · 2025Review
- Global Protein Interactome Mapping in Rice Using Barcode-Indexed PCR Coupled with HiFi Long-Read Sequencing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Decoding Plant-Pathogen Interactions: A Comprehensive Exploration of Effector-Plant Transcription Factor Dynamics.Molecular plant pathology · 2025Review
- Identification ofForestry research · 2025Article
- Massively parallel measurement of protein-protein interactions by sequencing using MP3-seq.Nature chemical biology · 2024Article
- Powdery mildew effectors AVRMolecular plant pathology · 2024Article
- BnSTINet: An experimentally-based transcription factor interaction network in seeds of Brassica napus.Plant biotechnology journal · 2024Article
- Genome editing and molecular analyses of anPlant biotechnology (Tokyo, Japan) · 2023Article
- A multiplexed bacterial two-hybrid for rapid characterization of protein-protein interactions and iterative protein design.Nature communications · 2023Article
- Comparative transcriptome profiling reveals the multiple levels of crosstalk in phytohormone networks in Brassica napus.Plant biotechnology journal · 2023Article
- Characterization of Arbuscular Mycorrhizal Effector Proteins.International journal of molecular sciences · 2023Review
- Proximity Labeling in Plants.Annual review of plant biology · 2023Review
22 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
Broad-scale protein-protein interaction mapping is a major challenge given the cost, time, and sensitivity constraints of existing technologies. Here, we present a massively multiplexed yeast two-hybrid method, CrY2H-seq, which uses a Cre recombinase interaction reporter to intracellularly fuse the coding sequences of two interacting proteins and next-generation DNA sequencing to identify these interactions en masse. We applied CrY2H-seq to investigate sparsely annotated Arabidopsis thaliana transcription factors interactions. By performing ten independent screens testing a total of 36 million binary interaction combinations, and uncovering a network of 8,577 interactions among 1,453 transcription factors, we demonstrate CrY2H-seq's improved screening capacity, efficiency, and sensitivity over those of existing technologies. The deep-coverage network resource we call AtTFIN-1 recapitulates one-third of previously reported interactions derived from diverse methods, expands the number of known plant transcription factor interactions by three-fold, and reveals previously unknown family-specific interaction module associations with plant reproductive development, root architecture, and circadian coordination.
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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.