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Hafiz M. Ahmad

Researcher at Jawaharlal Nehru University

Publications -  9
Citations -  456

Hafiz M. Ahmad is an academic researcher from Jawaharlal Nehru University. The author has contributed to research in topics: microRNA & Myeloid leukemia. The author has an hindex of 7, co-authored 9 publications receiving 409 citations. Previous affiliations of Hafiz M. Ahmad include University of Massachusetts Medical School.

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Analysis of microRNA transcriptome by deep sequencing of small RNA libraries of peripheral blood

TL;DR: The study identifies miRNAs that are differentially regulated in normal PBMC with respect to cancer cells, K562 and HL60 and provides a customized automated computation pipeline for miRNA profiling and identification of novel mi RNAs; even those that are missed out by other existing pipelines.
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MicroRNA-191, an estrogen-responsive microRNA, functions as an oncogenic regulator in human breast cancer

TL;DR: This study reveals miR-191 as an estrogen-inducible onco-miR in breast cancer, which promotes several hallmarks of cancer including enhanced cell proliferation, migration, chemoresistance and survival in tumor microenvironment.
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HIF-inducible miR-191 promotes migration in breast cancer through complex regulation of TGFβ-signaling in hypoxic microenvironment.

TL;DR: It is suggested that miR-191 inhibition may offer a novel therapy for hypoxic breast tumors and stand as a first report of identification of a microRNA mediator that links hypoxia and the TGFβ signaling pathways, both of which are involved in regulation of breast cancer metastasis.
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CBFβ-SMMHC Inhibition Triggers Apoptosis by Disrupting MYC Chromatin Dynamics in Acute Myeloid Leukemia.

TL;DR: It is demonstrated that CBFβ-SMMHC maintains cell viability by neutralizing RUNX1-mediated repression of MYC expression, which suggests that inhibitors targeting chromatin activity may prove effective in inv(16) leukemia therapy.
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Analysis of the microRNA transcriptome and expression of different isomiRs in human peripheral blood mononuclear cells

TL;DR: The results indicated that the relative expression levels of different isoforms of a miRNA are likely to be dynamic and may change with respect to changes in the cell or differentiation status, and there is a definite pattern in relative concentration of different isomiRs derived from same precursors.