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Single-cell RNAseq of mouse bone marrow cells (Drop-seq)

ABSTRACT: Gene expression profiles of individual bone marrow cells were acquired by Drop-Seq. Total bone marrow (TBM) and weakly depleted bone marrow (DBM; Ter119/Cd45 negative cells) were analysed.

INSTRUMENT(S): NextSeq 500

ORGANISM(S): Mus musculus

SUBMITTER: Fumio Arai

PROVIDER: E-MTAB-8630 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing.

Stumpf Patrick S PS Du Xin X Imanishi Haruka H Kunisaki Yuya Y Semba Yuichiro Y Noble Timothy T Smith Rosanna C G RCG Rose-Zerili Matthew M West Jonathan J JJ Oreffo Richard O C ROC Farrahi Katayoun K Niranjan Mahesan M Akashi Koichi K Arai Fumio F MacArthur Ben D BD

Communications biology 20201204 1

Biomedical research often involves conducting experiments on model organisms in the anticipation that the biology learnt will transfer to humans. Previous comparative studies of mouse and human tissues were limited by the use of bulk-cell material. Here we show that transfer learning-the branch of machine learning that concerns passing information from one domain to another-can be used to efficiently map bone marrow biology between species, using data obtained from single-cell RNA sequencing. We ...[more]

PMID: 33277618

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