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Arash Minai-Tehrani
Researcher at Avicenna Research Institute
Publications - 21
Citations - 410
Arash Minai-Tehrani is an academic researcher from Avicenna Research Institute. The author has contributed to research in topics: Male infertility & Proteome. The author has an hindex of 9, co-authored 21 publications receiving 296 citations. Previous affiliations of Arash Minai-Tehrani include Academic Center for Education, Culture and Research.
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Journal Article
Antibody-Drug Conjugates: Possibilities and Challenges.
Mohammad-Reza Nejadmoghaddam,Arash Minai-Tehrani,Ramin Ghahremanzadeh,Morteza Mahmoudi,Rassoul Dinarvand,Amir-Hassan Zarnani +5 more
TL;DR: The key characteristics of ADCs including tumor marker, antibody, cytotoxic payload, and linkage strategy are outlined with a focus on technical improvement and some future trends in the pipeline.
Journal Article
Exploring the human seminal plasma proteome: an unexplored gold mine of biomarker for male infertility and male reproduction disorder.
TL;DR: The finding showed that human seminal plasma studies used to date seem to have converged on a set of proteins that are repeatedly identified in many studies and that represent only a small fraction of the entirehuman seminal plasma proteome.
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Metabolomics: a state-of-the-art technology for better understanding of male infertility.
TL;DR: This review summarised the latest finding in metabolomics techniques and metabolomics biomarkers correlated with male infertility and recommended that the novel biomarkers determined in the course of metabolomics analysis may stand for potential application of treatment and future clinical practice.
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Untargeted metabolomic profiling of seminal plasma in nonobstructive azoospermia men: A noninvasive detection of spermatogenesis
Kambiz Gilany,Ahmad Mani-Varnosfaderani,Arash Minai-Tehrani,Fateme Mirzajani,Alireza Ghassempour,Mohammed Reza Sadeghi,Mehdi Amini,Hassan Rezadoost +7 more
TL;DR: Untargeted metabolomic profiling of the seminal plasma in NOA men using gas chromatography-mass spectrometry and advance chemometrics revealed that the developed QDA models could predict the classes of samples using their TIC data.
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Metabolomics fingerprinting of seminal plasma from unexplained infertile men: a need for novel diagnostic biomarkers.
Naser Jafarzadeh,Ahmad Mani-Varnosfaderani,Arash Minai-Tehrani,Elham Savadi-Shiraz,Mohamad Reza Sadeghi,Kambiz Gilany +5 more
TL;DR: The seminal-plasma metabolome was examined in 15 fertile and 19 unexplained infertile men using previous methodology and multivariant pattern recognition techniques assisted in the identification of the data structure and helped in deriving a validated hypothesis.