The combined use of viral transcriptional and post-transcriptional regulatory elements to improve baculovirus-mediated transient gene expression in human embryonic stem cells

2010 ◽  
Vol 109 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Juan Du ◽  
Jieming Zeng ◽  
Ying Zhao ◽  
Jerome Boulaire ◽  
Shu Wang
2016 ◽  
Vol 01 (03) ◽  
pp. 201-208 ◽  
Author(s):  
Malini Krishnamoorthy ◽  
Brian Gerwe ◽  
Jamie Heimburg-Molinaro ◽  
Rachel Nash ◽  
Jagan Arumugham ◽  
...  

Stem Cells ◽  
2007 ◽  
Vol 25 (6) ◽  
pp. 1490-1497 ◽  
Author(s):  
Ludovic Vallier ◽  
Morgan Alexander ◽  
Roger Pedersen

2020 ◽  
Vol 21 (23) ◽  
pp. 9052
Author(s):  
Indrek Teino ◽  
Antti Matvere ◽  
Martin Pook ◽  
Inge Varik ◽  
Laura Pajusaar ◽  
...  

Aryl hydrocarbon receptor (AHR) is a ligand-activated transcription factor, which mediates the effects of a variety of environmental stimuli in multiple tissues. Recent advances in AHR biology have underlined its importance in cells with high developmental potency, including pluripotent stem cells. Nonetheless, there is little data on AHR expression and its role during the initial stages of stem cell differentiation. The purpose of this study was to investigate the temporal pattern of AHR expression during directed differentiation of human embryonic stem cells (hESC) into neural progenitor, early mesoderm and definitive endoderm cells. Additionally, we investigated the effect of the AHR agonist 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) on the gene expression profile in hESCs and differentiated cells by RNA-seq, accompanied by identification of AHR binding sites by ChIP-seq and epigenetic landscape analysis by ATAC-seq. We showed that AHR is differentially regulated in distinct lineages. We provided evidence that TCDD alters gene expression patterns in hESCs and during early differentiation. Additionally, we identified novel potential AHR target genes, which expand our understanding on the role of this protein in different cell types.


2009 ◽  
Vol 7 (1) ◽  
pp. 20 ◽  
Author(s):  
Jiaqiang Ren ◽  
Ping Jin ◽  
Ena Wang ◽  
Francesco M Marincola ◽  
David F Stroncek

2008 ◽  
Vol 134 (1-2) ◽  
pp. 162-170 ◽  
Author(s):  
Jane Synnergren ◽  
Sudeshna Adak ◽  
Mikael C.O. Englund ◽  
Theresa L. Giesler ◽  
Karin Noaksson ◽  
...  

2009 ◽  
Vol 55 (12) ◽  
pp. 2162-2170 ◽  
Author(s):  
Anders Ståhlberg ◽  
Martin Bengtsson ◽  
Martin Hemberg ◽  
Henrik Semb

Abstract Background: Human embryonic stem cells (hESCs) require expression of transcription factor genes POU5F1 (POU class 5 homeobox 1), NANOG (Nanog homeobox), and SOX2 [SRY (sex determining region Y)-box 2] to maintain their capacity for self-renewal and pluripotency. Because of the heterogeneous nature of cell populations, it is desirable to study the gene regulation in single cells. Large and potentially important fluctuations in a few cells cannot be detected at the population scale with microarrays or sequencing technologies. We used single-cell gene expression profiling to study cell heterogeneity in hESCs. Methods: We collected 47 single hESCs from cell line SA121 manually by glass capillaries and 57 single hESCs from cell line HUES3 by flow cytometry. Single hESCs were lysed and reverse-transcribed. Reverse-transcription quantitative real-time PCR was then used to measure the expression POU5F1, NANOG, SOX2, and the inhibitor of DNA binding genes ID1, ID2, and ID3. A quantitative noise model was used to remove measurement noise when pairwise correlations were estimated. Results: The numbers of transcripts per cell varied >100-fold between cells and showed lognormal features. POU5F1 expression positively correlated with ID1 and ID3 expression (P < 0.05) but not with NANOG or SOX2 expression. When we accounted for measurement noise, SOX2 expression was also correlated with ID1, ID2, and NANOG expression (P < 0.05). Conclusions: We demonstrate an accurate method for transcription profiling of individual hESCs. Cell-to-cell variability is large and is at least partly nonrandom because we observed correlations between core transcription factors. High fluctuations in gene expression may explain why individual cells in a seemingly undifferentiated cell population have different susceptibilities for inductive cues.


Sign in / Sign up

Export Citation Format

Share Document