Dataset Information


Distinct and sexually dimorphic X dosage compensation states in the mammalian germline

ABSTRACT: This experiment depicts RNA-Seq datasets from wild type XY male and XX female, as well as sex chromosomally abnormal XO female (Turner syndrome) and XX male (Klinefelter variant syndrome) mouse germ cells before, during and after germline reprogramming. This range from E6.5 epiblasts, fluorescence activated cell sorted (FACS) highly purified populations of germ cells (EGFP-positive) and gonadal somatic cells (EGFP-negative) from both sexes at E9.5, E11.5, E12.5, E14.5, E15.5, E16.5 and E18.5, as well as purified spermatogonia and leptotene / zygotene spermatocytes from P2 and P11 males, respectively. Non-gonadal somatic cell control datasets were generated from male and female E14.5 liver and tail. Germ cells from individual embryos were processed to make cDNA libraries and served as biological replicates. We generated in total 184 libraries for our analysis from 60 separate conditions.

INSTRUMENT(S): Illumina HiSeq 2500

ORGANISM(S): Mus musculus  

SUBMITTER: Mahesh Sangrith   Abdul Sesay   James Turner  

PROVIDER: E-MTAB-4616 | ArrayExpress | 2017-02-06



altmetric image


Non-Canonical and Sexually Dimorphic X Dosage Compensation States in the Mouse and Human Germline.

Sangrithi Mahesh N MN   Royo Helene H   Mahadevaiah Shantha K SK   Ojarikre Obah O   Bhaw Leena L   Sesay Abdul A   Peters Antoine H F M AH   Stadler Michael M   Turner James M A JM  

Developmental cell 20170126 3

Somatic X dosage compensation requires two mechanisms: X inactivation balances X gene output between males (XY) and females (XX), while X upregulation, hypothesized by Ohno and documented in vivo, balances X gene with autosomal gene output. Whether X dosage compensation occurs in germ cells is unclear. We show that mouse and human germ cells exhibit non-canonical X dosage states that differ from the soma and between the sexes. Prior to genome-wide reprogramming, X upregulation is present, consis  ...[more]

Similar Datasets

1000-01-01 | S-EPMC554793 | BioStudies
2019-01-01 | S-EPMC6502851 | BioStudies
1000-01-01 | S-EPMC4668127 | BioStudies
2019-01-01 | S-EPMC6700524 | BioStudies
| GSE40716 | GEO
1000-01-01 | S-EPMC3349739 | BioStudies
2012-11-05 | E-GEOD-40716 | ArrayExpress
2006-01-01 | S-EPMC1544062 | BioStudies
2013-01-01 | S-EPMC3643912 | BioStudies
2008-01-01 | S-EPMC2233679 | BioStudies