Unknown

Dataset Information

0

Gene expression variation in Arabidopsis embryos at single-nucleus resolution.


ABSTRACT: Soon after fertilization of egg and sperm, plant genomes become transcriptionally activated and drive a series of coordinated cell divisions to form the basic body plan during embryogenesis. Early embryonic cells rapidly diversify from each other, and investigation of the corresponding gene expression dynamics can help elucidate underlying cellular differentiation programs. However, current plant embryonic transcriptome datasets either lack cell-specific information or have RNA contamination from surrounding non-embryonic tissues. We have coupled fluorescence-activated nuclei sorting together with single-nucleus mRNA-sequencing to construct a gene expression atlas of Arabidopsis thaliana early embryos at single-cell resolution. In addition to characterizing cell-specific transcriptomes, we found evidence that distinct epigenetic and transcriptional regulatory mechanisms operate across emerging embryonic cell types. These datasets and analyses, as well as the approach we devised, are expected to facilitate the discovery of molecular mechanisms underlying pattern formation in plant embryos. This article has an associated 'The people behind the papers' interview.

SUBMITTER: Kao P 

PROVIDER: S-EPMC8276985 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Gene expression variation in Arabidopsis embryos at single-nucleus resolution.

Kao Ping P   Schon Michael A MA   Mosiolek Magdalena M   Enugutti Balaji B   Nodine Michael D MD  

Development (Cambridge, England) 20210706 13


Soon after fertilization of egg and sperm, plant genomes become transcriptionally activated and drive a series of coordinated cell divisions to form the basic body plan during embryogenesis. Early embryonic cells rapidly diversify from each other, and investigation of the corresponding gene expression dynamics can help elucidate underlying cellular differentiation programs. However, current plant embryonic transcriptome datasets either lack cell-specific information or have RNA contamination fro  ...[more]

Similar Datasets

2021-03-26 | GSE169284 | GEO
| PRJNA716169 | ENA
| S-EPMC8217372 | biostudies-literature
| S-EPMC10242081 | biostudies-literature
| S-EPMC3371711 | biostudies-literature
| S-EPMC9232161 | biostudies-literature
| S-EPMC4423355 | biostudies-literature
| S-EPMC4971768 | biostudies-literature
| S-EPMC2519101 | biostudies-literature
| S-EPMC10619480 | biostudies-literature