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      Cotranslational signal independent SRP preloading during membrane targeting

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      1 , 1 , 1 , 2
      Nature

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          Abstract

          Ribosome-associated factors must faithfully decode the limited information available in nascent polypeptides to direct them to their correct cellular fate 1 . It is unclear how the low complexity information exposed by the nascent chain suffices for accurate recognition by the many factors competing for the limited surface near the ribosomal exit site 2, 3 . Questions remain even for the well-studied cotranslational targeting cycle to the endoplasmic reticulum (ER), involving recognition of linear hydrophobic Signal Sequences (SS) or Transmembrane Domains (TMD) by the Signal Recognition Particle (SRP) 4, 5 . Intriguingly, SRP is in low abundance relative to the large number of ribosome nascent chain complexes (RNCs), yet it accurately selects those destined to the ER 6 . Despite their overlapping specificities, SRP and the cotranslational Hsp70 SSB display exquisite mutually exclusive selectivity in vivo for their cognate RNCs 7, 8 . To understand cotranslational nascent chain recognition in vivo, we interrogated the cotranslational membrane targeting cycle using ribosome profiling (herein Ribo-seq) 9 coupled with biochemical fractionation of ribosome populations. Unexpectedly, SRP preferentially binds secretory RNCs before targeting signals are translated. We show non-coding mRNA elements can promote this signal-independent SRP pre-recruitment. Our study defines the complex kinetic interplay between elongation and determinants in the polypeptide and mRNA modulating SRP-substrate selection and membrane targeting.

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          Most cited references41

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          Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis

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            Recognition of transmembrane helices by the endoplasmic reticulum translocon.

            Membrane proteins depend on complex translocation machineries for insertion into target membranes. Although it has long been known that an abundance of nonpolar residues in transmembrane helices is the principal criterion for membrane insertion, the specific sequence-coding for transmembrane helices has not been identified. By challenging the endoplasmic reticulum Sec61 translocon with an extensive set of designed polypeptide segments, we have determined the basic features of this code, including a 'biological' hydrophobicity scale. We find that membrane insertion depends strongly on the position of polar residues within transmembrane segments, adding a new dimension to the problem of predicting transmembrane helices from amino acid sequences. Our results indicate that direct protein-lipid interactions are critical during translocon-mediated membrane insertion.
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              Evolutionary conservation of codon optimality reveals hidden signatures of co-translational folding

              The choice of codons can influence local translation kinetics during protein synthesis. Whether codon preference is linked to co-translational regulation of polypeptide folding remains unclear. Here, we derive a revised translational efficiency scale that incorporates the competition between tRNA supply and demand. Applying this scale to ten closely related yeasts, we uncover the evolutionary conservation of codon optimality in eukaryotes. This analysis reveals universal patterns of conserved optimal and nonoptimal codons, often in clusters, which associate with the secondary structure of the translated polypeptides independent of the levels of expression. Our analysis suggests an evolved function for codon optimality in regulating the rhythm of elongation to facilitate co-translational polypeptide folding, beyond its previously proposed role of adapting to the cost of expression. These findings establish how mRNA sequences are generally under selection to optimize the co-translational folding of corresponding polypeptides.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                6 August 2016
                11 August 2016
                11 February 2017
                : 536
                : 7615
                : 224-228
                Affiliations
                [1 ]Department of Biology, Stanford University Stanford, CA, 94305
                [2 ]Department of Genetics, Stanford University Stanford, CA, 94305
                Author notes
                Correspondence and requests for materials should be addressed to J.F. ( jfrydman@ 123456stanford.edu ).
                Article
                NIHMS803991
                10.1038/nature19309
                5120976
                27487213
                49666e71-9d40-492f-bc2d-38923ce92d1c

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