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Progress of SLFN family proteins in tumor and virus infection.

Authors: Shu Min, Chen; Ling, Ma; Shan, Cen;

Progress of SLFN family proteins in tumor and virus infection.

Abstract

Schlafen (SLFN) family genes were initially found in humans and rats to regulate cell growth and T cell differentiation, and exist widely in mice, horses, humans and other species and exhibit high homology. Lines of evidence suggest that SLFN proteins play important roles in inhibiting cell proliferation, promoting meiosis, regulating hematopoietic cells, reducing platelet numbers and the immune response, and also exert antiviral functions against several virus species including HIV-1, influenza virus and others. In addition, SLFN proteins have also been found to be closely related to cancer therapy, and act as a molecular marker to predict tumor development and the sensitivity to chemotherapy drugs. In this review, we discuss the classification, structures, characteristics, location and functions of SLFN family proteins, and focus on progress related to tumor and virus infection, aiming to provide new thoughts on exploration of SLFN protein functions and the underlying mechanisms.

Related Organizations
Keywords

Virus Diseases, Multigene Family, Neoplasms, Animals, Humans, Cell Cycle Proteins, Cell Proliferation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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Cancer Research
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