Computational Analysis of Transcriptional Circuitries in Human Embryonic Stem Cells Reveals Multiple and Independent Networks

Joint Authors

Guda, Chittibabu
Wang, Xiaosheng

Source

BioMed Research International

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-01-09

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Medicine

Abstract EN

It has been known that three core transcription factors (TFs), NANOG, OCT4, and SOX2, collaborate to form a transcriptional circuitry to regulate pluripotency and self-renewal of human embryonic stem (ES) cells.

Similarly, MYC also plays an important role in regulating pluripotency and self-renewal of human ES cells.

However, the precise mechanism by which the transcriptional regulatory networks control the activity of ES cells remains unclear.

In this study, we reanalyzed an extended core network, which includes the set of genes that are cobound by the three core TFs and additional TFs that also bind to these cobound genes.

Our results show that beyond the core transcriptional network, additional transcriptional networks are potentially important in the regulation of the fate of human ES cells.

Several gene families that encode TFs play a key role in the transcriptional circuitry of ES cells.

We also demonstrate that MYC acts independently of the core module in the regulation of the fate of human ES cells, consistent with the established argument.

We find that TP53 is a key connecting molecule between the core-centered and MYC-centered modules.

This study provides additional insights into the underlying regulatory mechanisms involved in the fate determination of human ES cells.

American Psychological Association (APA)

Wang, Xiaosheng& Guda, Chittibabu. 2014. Computational Analysis of Transcriptional Circuitries in Human Embryonic Stem Cells Reveals Multiple and Independent Networks. BioMed Research International،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-493690

Modern Language Association (MLA)

Wang, Xiaosheng& Guda, Chittibabu. Computational Analysis of Transcriptional Circuitries in Human Embryonic Stem Cells Reveals Multiple and Independent Networks. BioMed Research International No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-493690

American Medical Association (AMA)

Wang, Xiaosheng& Guda, Chittibabu. Computational Analysis of Transcriptional Circuitries in Human Embryonic Stem Cells Reveals Multiple and Independent Networks. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-493690

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-493690