scholarly journals Correction: Integrated analysis of single-cell embryo data yields a unified transcriptome signature for the human pre-implantation epiblast (doi: 10.1242/dev.158501)

Development ◽  
2018 ◽  
Vol 145 (15) ◽  
pp. dev169672 ◽  
Author(s):  
Giuliano G. Stirparo ◽  
Thorsten Boroviak ◽  
Ge Guo ◽  
Jennifer Nichols ◽  
Austin Smith ◽  
...  
Development ◽  
2018 ◽  
Vol 145 (3) ◽  
pp. dev158501 ◽  
Author(s):  
Giuliano G. Stirparo ◽  
Thorsten Boroviak ◽  
Ge Guo ◽  
Jennifer Nichols ◽  
Austin Smith ◽  
...  

Cell ◽  
2021 ◽  
Author(s):  
Yuhan Hao ◽  
Stephanie Hao ◽  
Erica Andersen-Nissen ◽  
William M. Mauck ◽  
Shiwei Zheng ◽  
...  

2021 ◽  
Author(s):  
Pinar Demetci ◽  
Rebecca Santorella ◽  
Bjorn Sandstede ◽  
Ritambhara Singh

Integrated analysis of multi-omics data allows the study of how different molecular views in the genome interact to regulate cellular processes; however, with a few exceptions, applying multiple sequencing assays on the same single cell is not possible. While recent unsupervised algorithms align single-cell multi-omic datasets, these methods have been primarily benchmarked on co-assay experiments rather than the more common single-cell experiments taken from separately sampled cell populations. Therefore, most existing methods perform subpar alignments on such datasets. Here, we improve our previous work Single Cell alignment using Optimal Transport (SCOT) by using unbalanced optimal transport to handle disproportionate cell-type representation and differing sample sizes across single-cell measurements. We show that our proposed method, SCOTv2, consistently yields quality alignments on five real-world single-cell datasets with varying cell-type proportions and is computationally tractable. Additionally, we extend SCOTv2 to integrate multiple ($M\geq2$) single-cell measurements and present a self-tuning heuristic process to select hyperparameters in the absence of any orthogonal correspondence information.


2021 ◽  
pp. 100071
Author(s):  
Kodai Minoura ◽  
Ko Abe ◽  
Hyunha Nam ◽  
Hiroyoshi Nishikawa ◽  
Teppei Shimamura

2005 ◽  
Vol 17 (2) ◽  
pp. 226
Author(s):  
K. Hartwich ◽  
B. Peachey ◽  
K. Cockrem ◽  
A. Marsh ◽  
A. Pugh

Maximum advantage can be gained from gene discovery programs, by screening embryos carrying the desired genes(s) prior to immediate transfer. This requires an efficient and reliable genotyping system and a method for biopsy preparation that does not compromise subsequent embryo or fetal development. The present study examined the effect of removing a single-cell from the developing 8–16 cell embryo on its subsequent ability to continue development to at least the late morula stage in vitro and then survive following triple transfer to recipients. Abattoir-sourced ovaries were obtained and subjected to IVP as previously described (van Wagtendonk-De Leeuw AM et al. 2004 Reprod. Fert. Dev. 16, 214 abst). Briefly, oocytes were matured in TCM199 +10% FCS, 10 μg/mL FSH, 10 μg/mL LH, 1 μg/mL estradiol, and 100 μM cysteamine under 5% CO2 in air at 38.5°C for 24 h. Percoll-separated sperm (1 × 106/mL) were then co-incubated with the matured oocytes (Day 0) for 24 h with the presumptive zygotes further cultured in mSOF medium under 5%CO2, 7% O2, 88% N2. On Day 4 embryos with a minimum of 8 cells were selected and held at 38.5°C in HEPES-buffered SOF (HSOF) until biopsy at ambient temperature. Embryo biopsy was performed in HSOF medium + 5 μg/mL cytochalasin B. A single cell was removed using a 30 μm biopsy pipette. Both biopsied and control embryos were then further cultured in mSOF in individual wells prepared in a 1% agarose matrix (Peura TT 2003 Cloning Stem Cells 5, 13–24). Embryos were scored for grade and stage of development reached on Day 7, and Grades 1 and 2 blastocysts and expanded blastocysts were transferred to synchronized recipients (three embryos of the same stage and grade to each recipient; n = 50). Fetal number was determined on Day 35 and 62 of gestation. A model for embryo survival was fitted to the data (McMillan WH et al. 1998 Theriogenology 50, 1053–1070) in order to estimate embryo (“e”) and recipient (“r”) contributions to embryo survival. Values were then compared to those determined for control embryos, produced using identical IVP methods (van Wagtendonk-De Leeuw AM et al. 2004 Reprod. Fert. Dev. 16, 214 abst). A total of 358 control and 561 biopsied embryos were cultured. Removal of a single cell did not significantly affect in vitro development (60.1% vs. 56.0%; control vs. biopsy). Day 35 survival of biopsied embryos was 44.7% with calculated “e” and “r” values of 0.48 and 0.94, respectively, which did not differ from control values (44.1%; 0.50 and 0.89). However, by Day 62 fetal survival had significantly decreased with a concomitant drop in “e” but not “r” (30.0%; 0.32 and 0.94, respectively; control “e” and “r” were unchanged). In conclusion, single-cell biopsy of the 8–16-cell embryo does not affect in vitro development or embryo survival to Day 35. However, significant fetal loss occurs by Day 62 that may limit commercial application. Further work is required to elucidate the cause of and overcome fetal loss.


1993 ◽  
Vol 8 (11) ◽  
pp. 1906-1909 ◽  
Author(s):  
K.-H. Cui ◽  
P. Pannall ◽  
G. Cates ◽  
C.D. Matthews

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Frederique Murielle Ruf-Zamojski ◽  
Michel A Zamojski ◽  
German Nudelman ◽  
Yongchao Ge ◽  
Natalia Mendelev ◽  
...  

Abstract The pituitary gland is a critical regulator of the neuroendocrine system. To further our understanding of the classification, cellular heterogeneity, and regulatory landscape of pituitary cell types, we performed and computationally integrated single cell (SC)/single nucleus (SN) resolution experiments capturing RNA expression, chromatin accessibility, and DNA methylation state from mouse dissociated whole pituitaries. Both SC and SN transcriptome analysis and promoter accessibility identified the five classical hormone-producing cell types (somatotropes, gonadotropes (GT), lactotropes, thyrotropes, and corticotropes). GT cells distinctively expressed transcripts for Cga, Fshb, Lhb, Nr5a1, and Gnrhr in SC RNA-seq and SN RNA-seq. This was matched in SN ATAC-seq with GTs specifically showing open chromatin at the promoter regions for the same genes. Similarly, the other classically defined anterior pituitary cells displayed transcript expression and chromatin accessibility patterns characteristic of their own cell type. This integrated analysis identified additional cell-types, such as a stem cell cluster expressing transcripts for Sox2, Sox9, Mia, and Rbpms, and a broadly accessible chromatin state. In addition, we performed bulk ATAC-seq in the LβT2b gonadotrope-like cell line. While the FSHB promoter region was closed in the cell line, we identified a region upstream of Fshb that became accessible by the synergistic actions of GnRH and activin A, and that corresponded to a conserved region identified by a polycystic ovary syndrome (PCOS) single nucleotide polymorphism (SNP). Although this locus appears closed in deep sequencing bulk ATAC-seq of dissociated mouse pituitary cells, SN ATAC-seq of the same preparation showed that this site was specifically open in mouse GT, but closed in 14 other pituitary cell type clusters. This discrepancy highlighted the detection limit of a bulk ATAC-seq experiment in a subpopulation, as GT represented ~5% of this dissociated anterior pituitary sample. These results identified this locus as a candidate for explaining the dual dependence of Fshb expression on GnRH and activin/TGFβ signaling, and potential new evidence for upstream regulation of Fshb. The pituitary epigenetic landscape provides a resource for improved cell type identification and for the investigation of the regulatory mechanisms driving cell-to-cell heterogeneity. Additional authors not listed due to abstract submission restrictions: N. Seenarine, M. Amper, N. Jain (ISMMS).


Blood ◽  
2017 ◽  
Vol 130 (25) ◽  
pp. 2762-2773 ◽  
Author(s):  
Xin Zhao ◽  
Shouguo Gao ◽  
Zhijie Wu ◽  
Sachiko Kajigaya ◽  
Xingmin Feng ◽  
...  

Key Points We distinguished aneuploid cells from diploid cells within the hematopoietic stem and progenitor cells using scRNA-seq. Monosomy 7 cells showed downregulated pathways involved in immune response and maintenance of DNA stability.


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