Tsai-Tien Tseng

Dr. Tsai-Tien Tseng


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 March 2021 in Viruses
Verified
Journal Article
Open access
PDF file
JWJian-Bin Wang
Jian-Bin Wang
MYMei-Shiuan Yu
Mei-Shiuan Yu
TTTsai-Tien Tseng
Tsai-Tien Tseng
LLLing-Chun Lin
Ling-Chun Lin
Aeromonas hydrophila is an opportunistic pathogen that infects fish, amphibians, mammals, and humans. This study isolated a myophage, vB_AhyM_Ahp2 (Ahp2), that lytically infects A. hydrophila. We observed that 96% of the Ahp2 particles adsorbed to A. hydrophila within 18 min. Ahp2 also showed a latent period of 15 min with a burst size of 142 PFU/cell. This phage has a linear double-stranded DNA genome of 47,331 bp with a GC content of 57%. At least 20 Ahp2 proteins were detected by SDS-polyacrylamide gel electrophoresis; among them, a 40-kDa protein was predicted as the major capsid protein. Sequence analysis showed that Ahp2 has a genome organization closely related to a group of Aeromonas phages (13AhydR10RR, 14AhydR10RR, 85AhydR10RR, phage 3, 32 Asp37, 59.1), which infect Aeromonas hydrophila and Aeromonas salmonicida. The tail module encompassing ORF27-29 in the Ahp2 genome was present in all Aeromonas phages analyzed in this study and likely determines the host range of the virus. This study found that Ahp2 completely lyses A. hydrophila AH300206 in 3.5 h at a MOI of 0.0001 and does not lysogenize its host. Altogether, these findings show that Ahp2 is a lytic Aeromonas phage and could be a candidate for therapeutic phage cocktails.

18 January 2015 in Biomarker Insights
Verified
Journal Article
Open access
AMAlyssa C. Moore
Alyssa C. Moore
JWJonathan S. Winkjer
Jonathan S. Winkjer
TTTsai-Tien Tseng
Tsai-Tien Tseng
Biomarker identification is often associated with the diagnosis and evaluation of various diseases. Recently, the role of microRNA (miRNA) has been implicated in the development of diseases, particularly cancer. With the advent of next-generation sequencing, the amount of data on miRNA has increased tremendously in the last decade, requiring new bioinformatics approaches for processing and storing new information. New strategies have been developed in mining these sequencing datasets to allow better understanding toward the actions of miRNAs. As a result, many databases have also been established to disseminate these findings. This review focuses on several curated databases of miRNAs and their targets from both predicted and validated sources.

23 February 2017 in Microbiology Resource Announcements
Verified
Journal Article
Open access
PDF file
SWShu-Fen Weng
Shu-Fen Weng
ALAn-Chi Luo
An-Chi Luo
CLChe-Jui Lin
Che-Jui Lin
TTTsai-Tien Tseng
Tsai-Tien Tseng
The genomic sequence was determined for Xanthomonas axonopodis pv. glycines strain 12609, isolated in Taiwan. Based on the genome sequence, we predicted the encoded genes, rRNA, tRNA, a plasmid sequence, secretion systems, cyclic GMP- and cyclic di-GMP-mediated pathways, and the gene cluster rpfABCHGDE (regulation of pathogenicity factor).