scholarly journals Histone deacetylase (HDAC) 1 and 2 are essential for accurate cell division and the pluripotency of embryonic stem cells

2014 ◽  
Vol 111 (27) ◽  
pp. 9840-9845 ◽  
Author(s):  
Shereen Jamaladdin ◽  
Richard D. W. Kelly ◽  
Laura O’Regan ◽  
Oliver M. Dovey ◽  
Grace E. Hodson ◽  
...  
Keyword(s):  
Stem Cells ◽  
Cell Division ◽  
Embryonic Stem Cells ◽  
Histone Deacetylase ◽  
Embryonic Stem

scholarly journals Histone Deacetylase Inhibition Elicits an Evolutionarily Conserved Self-Renewal Program in Embryonic Stem Cells

2009 ◽  
Vol 4 (4) ◽  
pp. 359-369 ◽  
Author(s):  
Carol B. Ware ◽  
Linlin Wang ◽  
Brigham H. Mecham ◽  
Lanlan Shen ◽  
Angelique M. Nelson ◽  
...  
Keyword(s):  
Stem Cells ◽  
Embryonic Stem Cells ◽  
Histone Deacetylase ◽  
Embryonic Stem ◽  
Self Renewal ◽  
Histone Deacetylase Inhibition ◽  
Renewal Program ◽  
Evolutionarily Conserved

24 IMPROVEMENT OF PORCINE CLONED EMBRYONIC STEM-LIKE CELLS DERIVATION BY ZONA-MEDIATED EMBRYO AGGREGATION

2014 ◽  
Vol 26 (1) ◽  
pp. 126 ◽  
Author(s):  
D. K. Lee ◽  
C.-H. Park ◽  
Y.-I. Jeong ◽  
J. Y. Hwang ◽  
J.-N. Oh ◽  
...  
Keyword(s):  
Stem Cells ◽  
Embryonic Stem Cells ◽  
Histone Deacetylase ◽  
Embryo Quality ◽  
Embryonic Stem ◽  
Cell Number ◽  
Total Cell ◽  
Blastocyst Formation ◽  
Total Cell Number ◽  
Cell Stage

Porcine embryonic stem cells (ESC) have become an important model for therapeutic cloning using embryonic stem cells derived by somatic cell nuclear transfer (SCNT). However, embryo quality and blastocyst formation have been major limitations for derivation of cloned embryonic stem-like cells. In this study, we tried to overcome these problems by treating with histone deacetylase inhibitors (HDACi) and aggregating porcine embryos. A porcine embryonic fibroblast (PEF) cell line was used as the source of donor cells injected into the enucleated oocytes. First, to confirm the effect of HDACi in cloned embryo quality, cloned embryos were treated with Scriptaid (histone deacetylase inhibitor). The Scriptaid-treated blastocysts (n = 26) showed significantly increased total cell number (29.50 ± 2.10; P < 0.05) than nontreated blastocysts (n = 21; 22.29 ± 1.50). Then, the cloned embryo quality and blastocyst formation were analyzed in aggregates. Three zona-free reconstructed 4-cell stage SCNT embryos were injected into empty zonae from hatched parthenogenic blastocysts. The blastocyst formation and total cell number of cloned blastocysts was significantly elevated for all the aggregates (76.3% and 83.18 ± 8.33 cells/blastocyst) compared with nonaggregated (31.0%, and 27.11 ± 1.67 cells/blastocyst; P < 0.05). Finally, aggregated blastocysts were cultured on a feeder layer to examine the efficiency of porcine embryonic stem-like cells derivation. Aggregated blastocyst showed higher primary colony formation percentage than nonaggregated cloned blastocysts (20.0 ± 12.3% v. 2.2 ± 1.35%, respectively; P < 0.05). In conclusion, the aggregation of pig SCNT embryos at the 4-cell stage could be a useful technique for improving the development rate and quality of cloned pig blastocyst and derivation efficiency of cloned embryonic stem-like cells.

OCT3/4 regulates transcription of histone deacetylase 4 (Hdac4) in mouse embryonic stem cells

2010 ◽  
Vol 111 (2) ◽  
pp. 391-401 ◽  
Author(s):  
Russell C. Addis ◽  
Megana K. Prasad ◽  
Robert L. Yochem ◽  
Xiangcan Zhan ◽  
Timothy P. Sheets ◽  
...  
Keyword(s):  
Stem Cells ◽  
Embryonic Stem Cells ◽  
Histone Deacetylase ◽  
Embryonic Stem ◽  
Mouse Embryonic Stem Cells ◽  
Histone Deacetylase 4

scholarly journals DeepSea: An efficient deep learning model for automated cell segmentation and tracking

2021 ◽  
Author(s):  
Abolfazl Zargari ◽  
Gerrald A. Lodewijk ◽  
Celine W. Neudorf ◽  
Kimiasadat Araghbidikashani ◽  
Najmeh Mashhadi ◽  
...  
Keyword(s):  
Stem Cells ◽  
Deep Learning ◽  
Cell Division ◽  
Embryonic Stem Cells ◽  
Single Cell ◽  
Cell Size ◽  
Phase Contrast ◽  
Embryonic Stem ◽  
Microscopy Images ◽  
Segmentation And Tracking

AbstractTime-lapse microscopy can directly capture the dynamics and heterogeneity of cellular processes at the single-cell level. Successful application of single-cell live microscopy requires automated segmentation and tracking of hundreds of individual cells over several time points. Recently, deep learning models have ushered in a new era in quantitative analysis of microscopy images. This work presents a versatile and trainable deep-learning-based software, termed DeepSea, that allows for both segmentation and tracking of single cells and their nuclei in sequences of phase-contrast live microscopy images. We show that DeepSea can quantify several cell biological features of mouse embryonic stem cells, such as cell division cycle, mitosis, cell morphology, and cell size, with high precision using phase-contrast images. Using DeepSea, we were able to show that despite their ultrafast cell division cycle, mouse embryonic stem cells exhibit cell size control in the G1 phase of the cell cycle.

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