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MicroRNA expression profiles in human CD3+ T cells following stimulation with anti-human CD3 antibodies

Overview of attention for article published in BMC Research Notes, March 2017
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Title
MicroRNA expression profiles in human CD3+ T cells following stimulation with anti-human CD3 antibodies
Published in
BMC Research Notes, March 2017
DOI 10.1186/s13104-017-2442-y
Pubmed ID
Authors

Isabel Garcia Sousa, Manuela Maragno do Almo, Kelly Cristina Rodrigues Simi, Maryani Andressa Gomes Bezerra, Rosângela Vieira Andrade, Andréa Queiroz Maranhão, Marcelo Macedo Brigido

Abstract

Anti-CD3 therapy can induce immunosuppression by several non mutually exclusive mechanisms that have been proposed to explain the therapeutic effect the administration anti-CD3 mAb, but its immunoregulatory mechanism is still not completely clear. In T cells, microRNAs (miRNAs) regulate several pathways, including those associated with immune tolerance. Here, we report changes in miRNA expression in T cells following treatment with anti-human CD3 antibodies. Peripheral blood mononuclear cells were cultured in the presence of the monoclonal antibody OKT3 or a recombinant fragment of humanized anti-CD3. Following these treatments, the expression profiles of 31 miRNA species were assessed in T cells using TaqMan arrays. Eight of the tested miRNAs (miR-155, miR-21, miR-146a, miR-210, miR-17, miR-590-5p, miR-106b and miR-301a) were statistically significantly up- or down-regulated relative to untreated cells. Stimulation of T cells with anti-human CD3 antibodies alters miRNA expression patterns, including of miRNA species associated with immune regulatory pathways.

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Student > Doctoral Student 3 13%
Student > Master 3 13%
Researcher 3 13%
Professor 3 13%
Other 3 13%
Unknown 3 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 33%
Agricultural and Biological Sciences 3 13%
Medicine and Dentistry 2 8%
Immunology and Microbiology 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 7 29%