Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Matthew W Hodgman"'
Publikováno v:
Nucleic Acids Research
Synonymous codon usage significantly impacts translational and transcriptional efficiency, gene expression, the secondary structure of both mRNA and proteins, and has been implicated in various diseases. However, population-specific differences in co
Autor:
Justin B Miller, Taylor E Meurs, Matthew W Hodgman, Benjamin Song, Kyle N Miller, Mark T W Ebbert, John S K Kauwe, Perry G Ridge
Publikováno v:
NAR genomics and bioinformatics. 4(2)
Ramp sequences occur when the average translational efficiency of codons near the 5′ end of highly expressed genes is significantly lower than the rest of the gene sequence, which counterintuitively increases translational efficiency by decreasing
Autor:
Justin B. Miller, Matthew W. Hodgman, Kyle N. Miller, Taylor E. Meurs, Mark T. W. Ebbert, John S. K. Kauwe, Perry G. Ridge
Motivation: Ramp sequences are an understudied evolutionarily-conserved mechanism for regulating protein translational efficiency. Slowly-translated codons concentrated at the 5' end of genes form ramp sequences that counterintuitively increase overa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::449f3c7833fa11c01ba2ca81f35162ef
https://doi.org/10.21203/rs.3.rs-908954/v1
https://doi.org/10.21203/rs.3.rs-908954/v1
Autor:
Perry G. Ridge, John S. K. Kauwe, Mark T. W. Ebbert, Justin B. Miller, Matthew W Hodgman, Taylor Meurs, Benjamin Song
Translational ramp sequences are essential regulatory elements that have yet to be characterized in specific tissues. Ramp sequences increase gene expression by evenly spacing ribosomes and slowing initial translation. Therefore, the relative codon a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe05f00553c834c8b6a9c0a52103014
https://doi.org/10.21203/rs.3.rs-738082/v1
https://doi.org/10.21203/rs.3.rs-738082/v1
Autor:
Artem Sokolov, Jeremy Goecks, Courtney Betts, Yu-An Chen, Clarence Yapp, Domenic Abbondanza, Ajit J. Nirmal, Samouil L. Farhi, Robert J. Coffey, Lisa M. Coussens, Aviv Regev, Connor A. Jacobson, Jia-Ren Lin, Juha Ruokonen, Denis Schapiro, Shamilene Sivagnanam, Gregory J. Baker, Daniel Persson, Joshua Hess, Peter K. Sorger, Zoltan Maliga, Jeremy L. Muhlich, Eliot T. McKinley, Maulik K. Nariya, Sandro Santagata, Matthew W. Hodgman, Allison L. Creason
Publikováno v:
Nat Methods
Highly multiplexed tissue imaging makes detailed molecular analysis of single cells possible in a preserved spatial context. However, reproducible analysis of large multichannel images poses a substantial computational challenge. Here, we describe a