Author

Amarjit Bhomra

University of OxfordORCID 0000-0002-0439-0128Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Neuroscience· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:mouse· 2 Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Research Focus:development & morphogenesis· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Anna J. KordalaiD· 2 shared Matthew J. A. WoodiD· 2 shared Nina AhlskogiD· 2 shared Alexandre Robert‐Seilaniantz· 1 shared André KahlesiD· 1 shared Anne M. VisscheriD· 1 shared Carlo RinaldiiD· 1 shared Cédric RaouliD· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersPathology

Anna J. KordalaORCID

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3 papers

Recent·Most cited

Exercise and disease state influence the beneficial effects of Fn14-depletion on survival and muscle pathology in the SOD1G93A amyotrophic lateral sclerosis (ALS) mouse model

Gareth Hazell, Eve McCallion, Nina Ahlskog, Emma R Sutton, Magnus Okoh, Emad I. Shaqoura, Joseph M. Hoolachan, Taylor Scaife, Sara Iqbal, Amarjit Bhomra, Anna J. Kordala, Frédérique Scamps, Cédric Raoul, Matthew J. A. Wood, Mélissa Bowerman

This study shows that Fn14-depletion improves survival and muscle pathology in SOD1G93A ALS mice, but only when combined with exercise.

Skeletal Muscle · Oct 14, 2024Peer-reviewedPathology

Type I PRMT inhibitor MS023 promotes SMN2 exon 7 inclusion and synergizes with nusinersen to rescue the phenotype of SMA mice

Anna J. Kordala, Nina Ahlskog, Muhammad Hanifi, Amarjit Bhomra, Jessica Stoodley, Wooi Fang Lim, Suzan M. Hammond, Matthew J. A. Wood, Carlo Rinaldi

bioRxiv · Oct 18, 2022 · PreprintNeuroscience

Genomic Rearrangements Considered as Quantitative Traits

Martha Imprialou, André Kahles, Joshua G. Steffen, Edward J. Osborne, Xiangchao Gan, Janne Lempe, Amarjit Bhomra, Eric J. Belfield, Anne M. Visscher, Robert Greenhalgh, Nicholas P. Harberd, Richard Goram, Jotun Hein, Alexandre Robert‐Seilaniantz, Jonathan D. G. Jones, , Richard Mott

The paper develops a method to map structural variants as quantitative traits in Arabidopsis, identifying transpositions and their phenotypic effects using low-coverage sequencing data.

Genetics · Feb 8, 2017Peer-reviewedGenetics