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Babak Jahangiri

Researcher at University of Tabriz

Publications -  5
Citations -  65

Babak Jahangiri is an academic researcher from University of Tabriz. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 1, co-authored 1 publications receiving 39 citations.

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Journal ArticleDOI

Cancer-associated fibroblasts enhance cell proliferation and metastasis of colorectal cancer SW480 cells by provoking long noncoding RNA UCA1

TL;DR: Results support the hypothesis that CAFs may be a prominent therapeutic target of stroma-based therapy in CRC treatment and highlight the vital role of cooperation between lncRNA UCA1 and mTOR in proliferation and metastasis.
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Exosomes, autophagy and ER stress pathways in human diseases: Cross-regulation and therapeutic approaches.

TL;DR: In this paper , the authors review the available information on the mechanisms that control autophagy, ER stress and EV pathways, with the view that a better understanding of their crosstalk and balance may improve our knowledge on the pathogenesis and treatment of human diseases, where these pathways are dysregulated.
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MSC-Derived Exosomes Suppress Colorectal Cancer Cell Proliferation and Metastasis via miR-100/mTOR/miR-143 Pathway.

TL;DR: In this paper , mesenchymal stem cells (MSC) derived exosomes were used to suppress proliferation, migration, invasion and metastasis while inducing the apoptosis of the CRC cells via miR100/mTOR/miR-143 axis.
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Promising clinical outcomes of nano-curcumin treatment as an adjunct therapy in hospitalized COVID-19 patients: A randomized, double-blinded, placebo-controlled trial.

TL;DR: In this article , a randomized, double-blinded, placebo-controlled trial was performed to investigate the effectiveness and safety of nano-curcumin oral soft gels as a complementary therapy in moderate-severe COVID-19 patients.
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CRISPR/Cas advancements for genome editing, diagnosis, therapeutics, and vaccine development for Plasmodium parasites, and genetic engineering of Anopheles mosquito vector.

TL;DR: In this paper , a CRISPR/Cas-based diagnostic kit that can specifically diagnose the Plasmodium species or drug resistance markers is developed for malaria settings with affordable cost and high-speed detection.