Unknown

Dataset Information

0

The molecular landscape of neural differentiation in the developing Drosophila brain revealed by targeted scRNA-seq and multi-informatic analysis.


ABSTRACT: The Drosophila type II neuroblast lineages present an attractive model to investigate the neurogenesis and differentiation process as they adapt to a process similar to that in the human outer subventricular zone. We perform targeted single-cell mRNA sequencing in third instar larval brains to study this process of the type II NB lineage. Combining prior knowledge, in silico analyses, and in situ validation, our multi-informatic investigation describes the molecular landscape from a single developmental snapshot. 17 markers are identified to differentiate distinct maturation stages. 30 markers are identified to specify the stem cell origin and/or cell division numbers of INPs, and at least 12 neuronal subtypes are identified. To foster future discoveries, we provide annotated tables of pairwise gene-gene correlation in single cells and MiCV, a web tool for interactively analyzing scRNA-seq datasets. Taken together, these resources advance our understanding of the neural differentiation process at the molecular level.

SUBMITTER: Michki NS 

PROVIDER: S-EPMC8139287 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

The molecular landscape of neural differentiation in the developing Drosophila brain revealed by targeted scRNA-seq and multi-informatic analysis.

Michki Sylvia N SN   Li Ye Y   Sanjasaz Kayvon K   Zhao Yimeng Y   Shen Fred Y FY   Walker Logan A LA   Cao Wenjia W   Lee Cheng-Yu CY   Cai Dawen D  

Cell reports 20210401 4


The Drosophila type II neuroblast lineages present an attractive model to investigate the neurogenesis and differentiation process as they adapt to a process similar to that in the human outer subventricular zone. We perform targeted single-cell mRNA sequencing in third instar larval brains to study this process of the type II NB lineage. Combining prior knowledge, in silico analyses, and in situ validation, our multi-informatic investigation describes the molecular landscape from a single devel  ...[more]

Similar Datasets

2021-05-05 | GSE153723 | GEO
| PRJNA643805 | ENA
| S-EPMC6876891 | biostudies-literature
| S-EPMC9340869 | biostudies-literature
| S-EPMC11725394 | biostudies-literature
| S-BSST858 | biostudies-other
| S-EPMC9113748 | biostudies-literature
| S-EPMC11500609 | biostudies-literature
| S-EPMC11197760 | biostudies-literature
| S-EPMC4195499 | biostudies-literature