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Biology subjects

Jimbo, M.

Publications and source records attributed to Jimbo, M..

2 recordsLinked to original sources

Changes in free amino acid concentrations and associated gene expression profiles in the abdominal muscle of kuruma shrimp Marsupenaeus japonicus reared at different salinity

Shrimps inhabiting around the coastal area can survive in a wide range of salinity. However, the molecular mechanisms involved in their adaptation to different environmental salinity have remained largely unknown. In the present study, we reared kuruma shrimp Marsupenaeus japonicus at 1.7 %, 3.4 % and 4.0 % salinity. After rearing for 6, 12, 24 and 72 h, we determined free amino acid concentrations in their abdominal muscle, and performed RNA-seq analysis on this muscle. The concentrations of free amino acids were clearly altered depending on salinity after rearing for 24 h. Glutamine and alanine concentrations were markedly increased following the increase of salinity. In association with such changes, many genes related to amino acid metabolism changed their expression levels. Notably, the increased glutamine content at high salinity appeared to be relevant to the increase of the expression level of the gene encoding glutamate-ammonia ligase which functions in the glutamine metabolism. Furthermore, the alanine content increased at high salinity was likely to be associated with the decrease in the expression levels of the alanine-glyoxylate transaminase gene. Thus, the changes in the concentration of free amino acids for osmoregulation in kuruma shrimp are considered to be regulated by the changes in the expression levels of genes related to amino acid metabolism.\n\nSummary statesmentKuruma shrimp Marsupenaeus japonicus changes free amino acid contents and associated gene expression levels in their muscle to adjust effectively to different salinity.

zoology

Secure Wavelet Matrix: Alphabet-Friendly Privacy-Preserving String Search

MotivationPrivacy-preserving substring matching is an important task for sensitive biological/biomedical sequence database searches. It enables a user to obtain only a substring match while his/her query is concealed to a server. The previous approach for this task is based on a linear-time algorithm in terms of alphabet size |{Sigma}|. Therefore, a more efficient method is needed to deal with strings with large alphabet size such as a protein sequence, time-series data, and a clinical document.\n\nResultsWe present a novel algorithm that can search a string in logarithmic time of |{Sigma}|. In our algorithm, named secure wavelet matrix (sWM), we use an additively homomorphic encryption to build an efficient data structure called a wavelet matrix. In an experiment using a simulated string of length 10,000 whose alphabet size ranges from 4 to 1024, the run time of the sWM was an order of magnitude faster than that of the previous method. We also tested the sWM on all sequences of one protein family in Pfam (9,826 residues in total) and clinical texts written in a natural language (77,712 letters in total). By using a laptop computer for the user and a desktop PC for the server, we found that its run time was {approx} 2.5 s (user) and {approx} 6.7 s (server) for the protein sequences and {approx} 10 s (user) and {approx} 60 s (server) for the clinical texts.\n\nAvailabilityhttps://github.com/cBioLab/sWM

bioinformatics