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Sam Griffiths-Jones

Researcher at University of Manchester

Publications -  120
Citations -  49386

Sam Griffiths-Jones is an academic researcher from University of Manchester. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 54, co-authored 115 publications receiving 44697 citations. Previous affiliations of Sam Griffiths-Jones include University of Nottingham & Manchester Academic Health Science Centre.

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Enhanced genome assembly and a new official gene set for Tribolium castaneum

TL;DR: An improved genome assembly and an enhanced genome annotation resulting in a new official gene set (OGS3) for Tribolium castaneum are presented, which significantly increase the quality of the genomic resources.
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Conserved RNA structures in the non-canonical Hac1/Xbp1 intron

TL;DR: The results show that the sequence of the Hac1/Xbp1 intron is highly conserved only around the splice sites recognized by Ire1, and it is proposed that these species use a different mechanism to regulate the UPR.
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Sex-Biased Expression of MicroRNAs in Schistosoma mansoni.

TL;DR: It is proposed that the recent emergence of separate sexes in Schistosoma had an effect on the chromosomal distribution and evolution of microRNAs, and that micro RNAs are likely to participate in the sex differentiation/maintenance process.
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Song exposure regulates known and novel microRNAs in the zebra finch auditory forebrain

TL;DR: The experience of hearing another bird singing alters the profile of miRNAs in the auditory forebrain of zebra finches, with significant and consistent changes in copy number after song exposure across three biological replications of the song-silence comparison.
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Modulation of intrinsic phi,psi propensities of amino acids by neighbouring residues in the coil regions of protein structures: NMR analysis and dissection of a beta-hairpin peptide.

TL;DR: The role of context on phi,psi preferences is considered by examining the effects of neighbouring residues in modulating coil propensities within a data base of 512 high-resolution, low-homology structures to find a better correlation between 3JNH-Halpha values derived from the data base model and those determined experimentally when context-dependent phi distributions are considered.