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MRC Laboratory of Molecular Biology

MRC Laboratory of Molecular Biology

One of the world's leading research institutes, our scientists are working to advance understanding of biological processes at the molecular level - providing the knowledge needed to solve key problems in human health.

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Insight on Research

Combining single molecule-imaging and cryo-EM resolves DNA repair mystery

Published on 31 July, 2024

Lori Passmore’s group in the LMB’s Structural Studies Division have identified the molecular mechanism by which the FANCD2-FANCI protein complex, which acts as a travelling DNA clamp, is able to identify sites of DNA strand damage and mark them for repair.

Motion detector in the brain translates visual information into movement

Published on 3 July, 2024

Marco Tripodi’s group, in the LMB’s Neurobiology Division, reveals how visual information is progressively channelled to motor neurons.

Transcription factor Mef2d is crucial to the function of type-2 innate lymphoid cells during allergic responses

Published on 28 June, 2024

Andrew McKenzie’s group, in the LMB’s PNAC Division, have applied a new screening system and synthetic Boolean logic gate circuits to offer unprecedented insights into the molecular regulation of type-2 innate lymphoid cells, a key contributor to allergic responses.

In-cell structure elucidation reveals a functional significance of microbial S-layers in critical global geochemical cycles

Published on 29 May, 2024

Tanmay Bharat’s group, in the LMB’s Structural Studies Division, reveals the surface layer structure of the archaeon Nitrosopumilus maritimus, crucial to the global nitrogen cycle.

First map of the neurotransmitters used in the fruit fly brain

Published on 21 May, 2024

Greg Jefferis’ group in the LMB’s Neurobiology Division, in collaboration with scientists at the Janelia Research Campus, have predicted the sign of each synapsis in the fruit fly brain.

ModelAngelo software expands cryo-EM toolkit with faster atomic model building and identification of novel proteins

Published on 16 April, 2024

Kiarash Jamali, a Ph.D. student in Sjors Scheres’ group in the LMB’s Structural Studies Division, has designed a new machine learning software capable of fast, accurate model building at atomic levels and identification of new proteins beyond previous capabilities.

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