Transcriptomics

Dataset Information

0

Single cell RNA-sequencing on blood cells from Drosophila lymph glands [scRNA-seq]


ABSTRACT: We report the use of single cell mRNA sequencing to identify new blood cell types, subtypes, genetic markers, and important developmental pathways in the Drosophila lymph gland. We analyzed transcript data for 21,157 cells from wild-type early third instar larvae (90-93 hours after eggs lay at 25 degrees C) which contain reporter constructs that mark progenitors and differentiated cells. We find that lymph gland blood cells can be catorgorized into 9 major clusters. One cluster corrresponds to the niche cells of the posterior signaling center (PSC) that expressed the PSC markers Antennopedia and Collier. Progenitors of the medullary zone (MZ) are found in two distinct clusters (MZ1 and MZ2), both of which express the MZ markers domeless and Tep4. One cluster contains intermediate progenitors of the intermediate zone (IZ), and these express markers such as CG30090, lectin-24A, and MFS3 that we found to be IZ-specific in previous bulk RNA-seq experiments with sorted lymph gland cells. Another cluster (PL) contains plasmatocytes that express NimC1, as well as Hml, Pxn, vkg, and Col4a1. Crystal cells are found in one major population that subclusters into two distinct subclusters (CC1 and CC2) that express the markers lz, Hnt, and proPO.. Another transitory population that we dub proplasmatocytes expresses Hml, Pxn, vkg, and Col4a1, but not PL marker Nimc1 or IZ-markers. One cluster is not well understood, butis highly enriched for cell cycle- and replication stress genes. Pseudotime and Trajectory analysis results in fruther sub-division of these zones based on pseudotime states and aids in building a model of lymph gland development that will be the basis for future studies.

ORGANISM(S): Drosophila melanogaster

PROVIDER: GSE168819 | GEO | 2021/11/03

REPOSITORIES: GEO

Similar Datasets

2021-11-03 | GSE168821 | GEO
2021-11-03 | GSE168820 | GEO
2017-03-08 | GSE95778 | GEO
2022-04-19 | GSE193782 | GEO
2023-09-11 | GSE216339 | GEO
2021-01-18 | GSE162665 | GEO
2023-02-07 | GSE224143 | GEO
2014-10-03 | E-GEOD-62008 | biostudies-arrayexpress
2021-03-30 | GSE171101 | GEO
2021-02-01 | GSE162238 | GEO