scholarly journals Single-cell RNA-seq reveals distinct dynamic behavior of sex chromosomes during early human embryogenesis

2018 ◽  
Author(s):  
Qing Zhou ◽  
Taifu Wang ◽  
Lizhi Leng ◽  
Wei Zheng ◽  
Jinrong Huang ◽  
...  

AbstractBackgroundSeveral animal and human studies have demonstrated that sex affects kinetics and metabolism during early embryo development. However, the mechanism governing these differences at the molecular level is unknown, warranting a systematic profiling of gene expression in males and females during embryogenesis.FindingsWe performed comprehensive analyses of gene expression comparing male and female embryos using available single-cell RNA-sequencing data of 1607 individual cells from 99 human preimplantation embryos, covering development stages from 4-cell to late blastocyst (E2 to E7). Consistent chromosome-wide transcription of autosomes was observed, while sex chromosomes showed significant differences after embryonic genome activation (EGA). Differentially expressed genes (DE genes) in male and female embryos mainly involved in the cell cycle, protein translation and metabolism. The Y chromosome was initially activated by pioneer genes, RPS4Y1 and DDX3Y, while the two X chromosomes in female were widely activated after EGA. Expression of X-linked genes in female significantly declined at the late blastocyst stage, especially in trophectoderm cells, revealing a rapid process of dosage compensation.ConclusionsWe observed imbalanced expression from sex chromosomes in male and female embryos during EGA, with dosage compensation occurring first in female trophectoderm cells. Studying the effect of sex differences during human embryogenesis, as well as understanding the mechanism of X chromosome inactivation and its correlation with early miscarriage, will provide a basis for advancing assisted reproductive technology (ART) and thereby improve the treatment of infertility and possibly enhance reproductive health.

Genetics ◽  
2003 ◽  
Vol 165 (3) ◽  
pp. 1167-1181
Author(s):  
Pei-Wen Chiang ◽  
David M Kurnit

Abstract Using a sensitive RT-QPCR assay, we analyzed the regulatory effects of sex and different dosage compensation mutations in Drosophila. To validate the assay, we showed that regulation for several genes indeed varied with the number of functional copies of that gene. We then confirmed that dosage compensation occurred for most genes we examined in male and female flies. Finally, we examined the effects on regulation of several genes in the MSL pathway, presumed to be involved in sex-dependent determination of regulation. Rather than seeing global alterations of either X chromosomal or autosomal genes, regulation of genes on either the X chromosome or the autosomes could be elevated, depressed, or unaltered between sexes in unpredictable ways for the various MSL mutations. Relative dosage for a given gene between the sexes could vary at different developmental times. Autosomal genes often showed deranged regulatory levels, indicating they were in pathways perturbed by X chromosomal changes. As exemplified by the BR-C locus and its dependent Sgs genes, multiple genes in a given pathway could exhibit coordinate regulatory modulation. The variegated pattern shown for expression of both X chromosomal and autosomal loci underscores the complexity of gene expression so that the phenotype of MSL mutations does not reflect only simple perturbations of genes on the X chromosome.


2019 ◽  
Vol 20 (S24) ◽  
Author(s):  
Yu Zhang ◽  
Changlin Wan ◽  
Pengcheng Wang ◽  
Wennan Chang ◽  
Yan Huo ◽  
...  

Abstract Background Various statistical models have been developed to model the single cell RNA-seq expression profiles, capture its multimodality, and conduct differential gene expression test. However, for expression data generated by different experimental design and platforms, there is currently lack of capability to determine the most proper statistical model. Results We developed an R package, namely Multi-Modal Model Selection (M3S), for gene-wise selection of the most proper multi-modality statistical model and downstream analysis, useful in a single-cell or large scale bulk tissue transcriptomic data. M3S is featured with (1) gene-wise selection of the most parsimonious model among 11 most commonly utilized ones, that can best fit the expression distribution of the gene, (2) parameter estimation of a selected model, and (3) differential gene expression test based on the selected model. Conclusion A comprehensive evaluation suggested that M3S can accurately capture the multimodality on simulated and real single cell data. An open source package and is available through GitHub at https://github.com/zy26/M3S.


Circulation ◽  
2020 ◽  
Vol 142 (14) ◽  
pp. 1374-1388
Author(s):  
Yanming Li ◽  
Pingping Ren ◽  
Ashley Dawson ◽  
Hernan G. Vasquez ◽  
Waleed Ageedi ◽  
...  

Background: Ascending thoracic aortic aneurysm (ATAA) is caused by the progressive weakening and dilatation of the aortic wall and can lead to aortic dissection, rupture, and other life-threatening complications. To improve our understanding of ATAA pathogenesis, we aimed to comprehensively characterize the cellular composition of the ascending aortic wall and to identify molecular alterations in each cell population of human ATAA tissues. Methods: We performed single-cell RNA sequencing analysis of ascending aortic tissues from 11 study participants, including 8 patients with ATAA (4 women and 4 men) and 3 control subjects (2 women and 1 man). Cells extracted from aortic tissue were analyzed and categorized with single-cell RNA sequencing data to perform cluster identification. ATAA-related changes were then examined by comparing the proportions of each cell type and the gene expression profiles between ATAA and control tissues. We also examined which genes may be critical for ATAA by performing the integrative analysis of our single-cell RNA sequencing data with publicly available data from genome-wide association studies. Results: We identified 11 major cell types in human ascending aortic tissue; the high-resolution reclustering of these cells further divided them into 40 subtypes. Multiple subtypes were observed for smooth muscle cells, macrophages, and T lymphocytes, suggesting that these cells have multiple functional populations in the aortic wall. In general, ATAA tissues had fewer nonimmune cells and more immune cells, especially T lymphocytes, than control tissues did. Differential gene expression data suggested the presence of extensive mitochondrial dysfunction in ATAA tissues. In addition, integrative analysis of our single-cell RNA sequencing data with public genome-wide association study data and promoter capture Hi-C data suggested that the erythroblast transformation-specific related gene( ERG ) exerts an important role in maintaining normal aortic wall function. Conclusions: Our study provides a comprehensive evaluation of the cellular composition of the ascending aortic wall and reveals how the gene expression landscape is altered in human ATAA tissue. The information from this study makes important contributions to our understanding of ATAA formation and progression.


Author(s):  
VG LeBlanc ◽  
D Trinh ◽  
M Hughes ◽  
I Luthra ◽  
D Livingstone ◽  
...  

Glioblastomas (GBMs) account for nearly half of all primary malignant brain tumours, and current therapies are often only marginally effective. Our understanding of the underlying biology of these tumours and the development of new therapies have been complicated in part by widespread inter- and intratumoural heterogeneity. To characterize this heterogeneity, we performed regional subsampling of primary glioblastomas and derived organoids from these tissue samples. We then performed single-cell RNA-sequencing (scRNA-seq) on these primary regional subsamples and 1-3 matched organoids per sample. We have profiled samples from six tumour sets to date and have obtained sequencing data for 21,234 primary tissue cells and 14,742 organoid cells. While the most apparent differences in gene expression appear to be between individual tumours, we were also able to identify similar cellular subpopulations across tissue samples and across organoids. Importantly, organoids derived from the same tissue sample appeared to be composed of similar cellular subpopulations and were highly comparable to each other, indicating that replicate organoids faithfully represent the original tumour tissue. Overall, our scRNA-seq approach will help evaluate the utility of tumour-derived organoids as model systems for GBM and will aid in identifying cellular subpopulations defined by gene expression patterns, both in primary GBM regional subsamples and their associated organoids. These analyses will allow for the characterization of clonal or subclonal populations that are likely to respond to different therapeutic approaches and may also uncover novel therapeutic targets previously unrevealed through bulk analyses.


2006 ◽  
Vol 18 (2) ◽  
pp. 140
Author(s):  
M. Nino-Soto ◽  
G. Mastromonaco ◽  
P. Blondin ◽  
W. A. King

Expression of some X-chromosome linked genes has recently been shown to be altered in bovine somatic cell nuclear transfer (SCNT) derived embryos (Wrenzycki et al. 2002 Biol. Reprod. 66, 127), implying that the regulatory mechanisms of X-linked transcription are affected by embryo in vitro production (IVP) methods. We analyzed the transcriptional pattern of X-linked genes (BIRC4, GAB3, HPRT1, MECP2, RPS4X, SLC25A6, and XIST) in bovine in vitro fertilized (IVF) and SCNT male and female blastocysts to determine X-inactivation status and changes resulting from IVP. We collected pools of male (n = 5 pools) and female (n = 3 pools) IVF-derived blastocysts (Bousquet et al. 1999 Theriogenology 51, 59) and male (n = 5 pools) and female (n = 3 pools) SCNT-derived blastocysts (Mastromonaco et al. 2004 Reprod. Domest. Anim. 39, 462). Each pool consisted of five blastocysts. Embryos were washed in phosphate buffered saline (PBS) + 0.1% polyvinyl alcohol (PVA), collected, and stored at -80�C. Total RNA was extracted with an Absolutely RNA Microprep kit (Stratagene, La Jolla, CA, USA), DNase I treated, and precipitated with isopropanol and linear acrylamide (Ambion, Inc., Austin, TX, USA) as a carrier. Reverse transcription was performed with Oligo-dT (Invitrogen, Burlington, Ontario, Canada) and Superscript II RT (Invitrogen). Transcript quantification was performed by quantitative real-time PCR using SYBR Green I (LightCycler system, Roche, Diagnostics, Laval, Quebec, Canada). Data analysis was performed with SAS (SAS Institute, Inc., Cary, SC, USA) using a mixed-model factorial ANOVA and with results presented as estimates of the median, ratios of estimates, and 95% confidence intervals with � = 0.05. IVF-derived male and female blastocysts possessed similar levels of the transcripts analyzed, suggesting successful dosage compensation at this developmental stage for embryos fertilized in vitro. XIST was not detected in male IVF embryos. GAB3 was not detected in any of the female groups and, in addition, HPRT1 transcripts were not detected in SCNT derived female embryos. Male and female SCNT-derived blastocysts possessed marked differences in their transcript levels, with males showing statistically significantly higher levels of BIRC4 and RPS4X and females possessing higher levels of MECP2 and SLC25A6 transcripts although differences between the latter two were not statistically significant. XIST was detected in both male and female SCNT blastocysts. We conclude that dosage compensation between male and female IVF blastocysts is achieved at this developmental stage for the transcripts examined. However, this pattern was markedly changed in the SCNT group, affecting especially female SCNT blastocysts, suggesting that the regulatory mechanisms of X-inactivation and X-linked gene expression are substantially altered in SCNT embryos probably due to aberrant epigenetic patterns and faulty genome reprogramming. We are currently analyzing X-linked transcription in male and female in vivo-derived blastocysts in order to compare this group with IVP-derived embryos. This work was funded by NSERC, CIHR, and CRC.


2019 ◽  
Vol 86 (7) ◽  
pp. 871-882 ◽  
Author(s):  
Qing Zhou ◽  
Taifu Wang ◽  
Lizhi Leng ◽  
Wei Zheng ◽  
Jinrong Huang ◽  
...  

2019 ◽  
Vol 116 (38) ◽  
pp. 19031-19036 ◽  
Author(s):  
Iulia Darolti ◽  
Alison E. Wright ◽  
Benjamin A. Sandkam ◽  
Jake Morris ◽  
Natasha I. Bloch ◽  
...  

Once recombination is halted between the X and Y chromosomes, sex chromosomes begin to differentiate and transition to heteromorphism. While there is a remarkable variation across clades in the degree of sex chromosome divergence, far less is known about the variation in sex chromosome differentiation within clades. Here, we combined whole-genome and transcriptome sequencing data to characterize the structure and conservation of sex chromosome systems across Poeciliidae, the livebearing clade that includes guppies. We found that the Poecilia reticulata XY system is much older than previously thought, being shared not only with its sister species, Poecilia wingei, but also with Poecilia picta, which diverged roughly 20 million years ago. Despite the shared ancestry, we uncovered an extreme heterogeneity across these species in the proportion of the sex chromosome with suppressed recombination, and the degree of Y chromosome decay. The sex chromosomes in P. reticulata and P. wingei are largely homomorphic, with recombination in the former persisting over a substantial fraction. However, the sex chromosomes in P. picta are completely nonrecombining and strikingly heteromorphic. Remarkably, the profound degradation of the ancestral Y chromosome in P. picta is counterbalanced by the evolution of functional chromosome-wide dosage compensation in this species, which has not been previously observed in teleost fish. Our results offer important insight into the initial stages of sex chromosome evolution and dosage compensation.


2012 ◽  
Vol 2012 ◽  
pp. 1-12
Author(s):  
Michael B. Wells ◽  
Györgyi Csankovszki ◽  
Laura M. Custer

Dosage compensation balances gene expression levels between the sex chromosomes and autosomes and sex-chromosome-linked gene expression levels between the sexes. Different dosage compensation strategies evolved in different lineages, but all involve changes in chromatin. This paper discusses our current understanding of how modifications of the histone H4 tail, particularly changes in levels of H4 lysine 16 acetylation and H4 lysine 20 methylation, can be used in different contexts to either modulate gene expression levels twofold or to completely inhibit transcription.


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