Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Anandalakshmi, Venkatraman"'
Publikováno v:
Journal of Advanced Research, Vol 36, Iss , Pp 113-132 (2022)
Introduction: Protein aggregation and deposition of uniformly arranged amyloid fibrils in the form of plaques or amorphous aggregates is characteristic of amyloid diseases. The accumulation and deposition of proteins result in toxicity and cause dele
Externí odkaz:
https://doaj.org/article/7fd1a5f07e38414794e007b9d8666318
Autor:
Gary S. L. Peh, Francisco Bandeira, Dawn Neo, Khadijah Adnan, Yossa Hartono, Hon Shing Ong, Sacha Naso, Anandalakshmi Venkatraman, José A. P. Gomes, Viridiana Kocaba, Jodhbir S. Mehta
Publikováno v:
Cells, Vol 12, Iss 9, p 1307 (2023)
(1) Rho-associated coiled-coil protein kinase (ROCK) signaling cascade impacts a wide array of cellular events. For cellular therapeutics, scalable expansion of primary human corneal endothelial cells (CECs) is crucial, and the inhibition of ROCK sig
Externí odkaz:
https://doaj.org/article/554b98e2282d420ba0970676311c36ad
Autor:
Anandalakshmi Venkatraman, Minh-Dao Duong-Thi, Konstantin Pervushin, Sten Ohlson, Jodhbir Singh Mehta
Publikováno v:
Journal of Advanced Research, Vol 24, Iss , Pp 529-543 (2020)
Corneal dystrophies are a group of genetically inherited disorders with mutations in the TGFBI gene affecting the Bowman’s membrane and the corneal stroma. The mutant TGFBIp is highly aggregation-prone and is deposited in the cornea. Depending on t
Externí odkaz:
https://doaj.org/article/55f41d95cd6b4878b3cbbd4064b7e7f4
Targeted Expression of TGFBIp Peptides in Mouse and Human Tissue by MALDI-Mass Spectrometry Imaging.
Autor:
Anandalakshmi, Venkatraman1 venk0020@e.ntu.edu.sg, Hochart, Guillaume2 hochart.guillaume@imabiotech.com, Bonnel, David2 bonnel.david@imabiotech.com, Stauber, Jonathan2 stauber.jonathan@imabiotech.com, Shigeto Shimmura3 shige@z8.keio.jp, Lakshminarayanan, Rajamani1,4 lakshminarayanan.rajamani@seri.com.sg, Pervushin, Konstantin5 kpervushin@ntu.edu.sg, Mehta, Jodhbir S.1,4,6 jodmehta@gmail.com
Publikováno v:
Separations (2297-8739). Jul2021, Vol. 8 Issue 7, p1-15. 15p.
Akademický článek
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Publikováno v:
Journal of Advanced Research, Vol 36, Iss, Pp 113-132 (2022)
Journal of Advanced Research
Journal of Advanced Research
Graphical abstract
Highlights • Importance of disaggregation mechanism and innate disaggregation in living systems. • Different types and mechanism of disaggregation reported in literature. • Structural details of the interactions and the
Highlights • Importance of disaggregation mechanism and innate disaggregation in living systems. • Different types and mechanism of disaggregation reported in literature. • Structural details of the interactions and the
Autor:
Lakshminarayanan, R., Chaurasia, Shyam S., Anandalakshmi, Venkatraman, Chai, Shu-Ming, Murugan, Elavazhagan, Vithana, Eranga N., Beuerman, Roger W., Mehta, Jodhbir S.
Publikováno v:
In The Ocular Surface October 2014 12(4):234-251
Autor:
Sten Ohlson, Minh-Dao Duong-Thi, Anandalakshmi Venkatraman, Konstantin Pervushin, Jodhbir S. Mehta
Publikováno v:
Journal of Advanced Research, Vol 24, Iss, Pp 529-543 (2020)
Journal of Advanced Research
Journal of Advanced Research
Graphical abstract
Highlights • Corneal stromal dystrophies are a group of hereditary disorders caused by mutations in the TGFBI gene and affect the corneal stroma and epithelium. • The disease is characterized by the accumulation of insolub
Highlights • Corneal stromal dystrophies are a group of hereditary disorders caused by mutations in the TGFBI gene and affect the corneal stroma and epithelium. • The disease is characterized by the accumulation of insolub
Akademický článek
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Autor:
Jodhbir S. Mehta, Ikhyun Jun, Anandalakshmi Venkatraman, Eung Kweon Kim, Matthew Davidson, Tyler Hyungtaek Rim, Geunyoung Lee, Hong Seok Kim, Marco Yu, Mihir Deshmukh, Yu-Chi Liu
Publikováno v:
Computers in Biology and Medicine. 137:104675
Background Granular dystrophy is the most common stromal dystrophy. To perform automated segmentation of corneal stromal deposits, we trained and tested a deep learning (DL) algorithm from patients with corneal stromal dystrophy and compared its perf