Author

Laure Bridoux

University of Manchester

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Developmental Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:mouse· 2 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Nicoletta BobolaiD· 3 shared Peyman Zarrineh· 3 shared Joshua MalleniD· 2 shared Magnus RattrayiD· 2 shared Marta LosaiD· 2 shared Mike PhuycharoeniD· 2 shared Araceli Garcia-MoraiD· 1 shared Charles G. SagerströmiD· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersDevelopmental Biology

Nicoletta BobolaORCID

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3 papers

Recent·Most cited

The evolutionary ancient MEIS transcription factors actuate lineage-specific transcription to establish cardiac fate

Zoulfia A. Darieva, Peyman Zarrineh, Naomi Phillips, Joshua Mallen, Araceli Garcia-Mora, Ian J. Donaldson, Laure Bridoux, Megan Douglas, Sara F Dias Henriques, Dorothea Schulte, Matthew J. Birket, Nicoletta Bobola

The paper shows MEIS transcription factors are essential for activating cardiac-specific gene expression by working with lineage-restricted TFs to drive cardiac differentiation.

bioRxiv · Jul 18, 2024 · PreprintDevelopmental Biology

HOX paralogs selectively convert binding of ubiquitous transcription factors into tissue-specific patterns of enhancer activation

Laure Bridoux, Peyman Zarrineh, Joshua Mallen, Mike Phuycharoen, Víctor Latorre, Frank Ladam, Marta Losa, Syed Murtuza Baker, Charles G. Sagerström, Kimberly A. Mace, Magnus Rattray, Nicoletta Bobola

The paper investigates how HOX paralogs interact with TALE TFs to generate tissue-specific enhancer activation patterns in mouse embryos.

PLoS Genetics · Dec 14, 2020Peer-reviewedDevelopmental Biology

Uncovering tissue-specific binding features from differential deep learning

Mike Phuycharoen, Peyman Zarrineh, Laure Bridoux, Shilu Amin, Marta Losa, Ke Chen, Nicoletta Bobola, Magnus Rattray

The paper uses deep learning to identify tissue-specific TF binding sites by analyzing ChIP-seq data from MEIS and HOXA2 in mouse branchial arches.

Nucleic Acids Research · Jan 7, 2020Peer-reviewedBioinformatics