مقالات در نشریات
- 81. Askari, M., Tamandani, D.M.K., Almadani, N., Totonchi, M.,Strategies for whole-exome sequencing analysis in a case series study of familial male infertility,International Journal of Reproductive BioMedicine,2020.
- 82. Askari, M., Karamzadeh, R., Ansari ,& Pour, N., (...), McElreavey, K., Totonchi, M.,Identification of a missense variant in CLDN2 in obstructive azoospermia,Journal of Human Genetics,2019.
- 83. Yarahmadi, E., Borjian Boroujeni, P., Totonchi, M., Gourabi, H.,Genotyping of the EIF1AY Gene in Iranian Patients with Non-Obstructive Azoospermia,Current Urology,2019.
- 84. Khoshchehreh, R., Totonchi, M., Carlos Ramirez, J., (...), Ebrahimi, M., Heeschen, C.,Epigenetic reprogramming of primary pancreatic cancer cells counteracts their in vivo tumourigenicity,Oncogene,2019.
- 85. Magharehabed, M., Almadani, N., Askari, M., (...), Masoudi, N. ,& S., Totonchi, M.,Rare case of an oligospermic male with 46,XX/46,XY tetragametic chimerism,Andrologia,2019.
- 86. Mansoori ,& Moghadam, Z., Totonchi, M., Hesaraki, M., (...), Baharvand, H., Moghadasali, R.,Programming of ES cells and reprogramming of fibroblasts into renal lineage-like cells,Experimental Cell Research,2019.
- 87. Akbari, A., Pipitone, G.B., Anvar, Z., (...), Carrera, P., Totonchi, M.,ADCY10 frameshift variant leading to severe recessive asthenozoospermia and segregating with absorptive hypercalciuria,Human Reproduction,2019.
- 88. Najafi, H., Naseri, M., Zahiri, J., Totonchi, M., Sadeghizadeh, M.,Identification of the Molecular Events Involved in the Development of Prefrontal Cortex Through the Analysis of RNA-Seq Data From BrainSpan,ASN Neuro,2019.
- 89. Askari, M., Kordi ,& Tamandani, D.M., Almadani, N., McElreavey, K., Totonchi, M.,Identification of a homozygous GFPT2 variant in a family with asthenozoospermia,Gene,2019.
- 90. Farhangi, S., Dehghan, S., Totonchi, M., Javan, M.,In vivo conversion of astrocytes to oligodendrocyte lineage cells in adult mice demyelinated brains by Sox2,Multiple Sclerosis and Related Disorders,2019.
- 91. Jannesari, M., Habibzadeh, M., Aboulkheyr, H., (...), Totonchi, M., Hajirasouliha, I.,Breast Cancer Histopathological Image Classification: A Deep Learning Approach,Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018,2019.
- 92. Dalman, A., Totonchi, M., Valojerdi, M.R.,Human ovarian theca-derived multipotent stem cells have the potential to differentiate into oocyte-like cells in vitro,Cell Journal,2019.
- 93. Dalman, A., Totonchi, M., Valojerdi, M.R.,Establishment and characterization of human theca stem cells and their differentiation into theca progenitor cells,Journal of Cellular Biochemistry,2018.
- 94. Jafari, N., Giehr, P., Hesaraki, M., (...), Baharvand, H., Totonchi, M.,Genomic integrity of ground-state pluripotency,Journal of Cellular Biochemistry,2018.
- 95. Monsef, L., Borjian Boroujeni, P., Totonchi, M., Sabbaghian, M., Mohseni Meybodi, A.,Gene alterations and expression spectrum of SPATA33 in nonobstructive azoospermic Iranian men,Molecular Reproduction and Development,2018.
- 96. Shokraii, F., Moharrami, M., Motamed, N., (...), Khosravani, P., Ebrahimi, M.,Histone modification marks strongly regulate Cdh1 promoter in prostospheres as a model of prostate cancer stem like cells,Cell Journal,2018.
- 97. Moazenchi, M., Totonchi, M., Salman Yazdi, R., (...), Chehrazi, M., Mohseni Meybodi, A.,The impact of Chlamydia trachomatis infection on sperm parameters and male fertility: A comprehensive study,International Journal of STD and AIDS,2018.
- 98. Ghezelayagh, Z., Totonchi, M., Zarei , Moradi, S., (...), Gourabi, H., Mohseni , Meybodi, A.,The impact of genetic variation and gene expression level of the follicle-stimulating hormone receptor on ovarian reserve,Cell Journal,2018.
- 99. Amerion, M., Valojerdi, M.R., Abroun, S., Totonchi, M.,Long term culture and differentiation of endothelial progenitor like cells from rat adipose derived stem cells,Cytotechnology,2018.
- 100. Habibzadeh, M., Jannesari, M., Rezaei, Z., Baharvand, H., Totonchi, M.,Automatic white blood cell classification using pre-trained deep learning models: ResNet and Inception,Proceedings of SPIE - The International Society for Optical Engineering,2018.
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