plant computational biologist @Cambridge_Uni fascinated by studying the link between regulome, transctriptome and phenotype
๐ธ๐ป ๐โโ๏ธ๐โโ๏ธ๐ฅพ
๐ Very happy to share that our 5+ years of work "AP1 is a pioneer transcription factor that programmes cell fate through MADSโdomain protein tetramerisation" is finally published in Genome Biology @GenomeBiology: https://t.co/dMcshZwIAW
We show that APETALA1 (AP1) acts as a pioneer transcription factor in Arabidopsis thaliana โ facilitated by tetramerisation. We demonstrate that it can access closed chromatin, open it, and trigger the gene-regulation cascade that drives floral identity.
Excited to share our new preprint! ๐ธ
We used single-cell RNA-seq to chart the cellular landscape of A. thaliana floral epidermal development โ uncovering key cell types and gene expression dynamics.
๐ Read it here: https://t.co/AcKjHnyAQR
scRNA-seq datasets almost never present a balanced sampling of their included cell types. What are the implications of this for labels transferred to query data? And a few other cool things one ought to know about label transfer. Check our preprint :)
SINFONIA - a multinational initiative to understand transcriptional and post-transcriptional mechanisms driving plant development. Our recent pre-print gives an overview of the background and directives of SINFONIA. We welcome other groups to join.
https://t.co/zWi74hbLiq
My paper is finally out! โบ๏ธ Many thanks to @mvdelius for continuous support and to all other people who contributed to this work (special thanks to @CraigCR ๐๐ป).
Iโm also very grateful to @FieldenStephen and @ProfDaveLeigh for inspiring me with their work https://t.co/6gjpRRgM9K
Excited to announce that our paper describing NEAT-seq, a method to simultaneously measure transcription factor protein abundance, ATAC-seq, and RNA-seq in single cells, is out on biorxiv! Congrats to Amy and Ben! https://t.co/XJh5TndOcj