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      Dipeptidyl peptidases and E3 ligases of N-degron pathways cooperate to regulate protein stability

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          Abstract

          How are mislocalized secretory proteins targeted for destruction? Shimshon, Dahan, et al. discover that DPP8/9 peptidases expose a hidden “destroy me” tag in the targeting signal of substrates upon translocation failure, which flags them for UBR E3 ligases-mediated breakdown, preserving cellular protein balance.

          Abstract

          N-degrons are short sequences located at protein N-terminus that mediate the interaction of E3 ligases (E3s) with substrates to promote their proteolysis. It is well established that N-degrons can be exposed following protease cleavage to allow recognition by E3s. However, our knowledge regarding how proteases and E3s cooperate in protein quality control mechanisms remains minimal. Using a systematic approach to monitor the protein stability of an N-terminome library, we found that proline residue at the third N-terminal position (hereafter “P+3”) promotes instability. Genetic perturbations identified the dipeptidyl peptidases DPP8 and DPP9 and the primary E3s of N-degron pathways, UBR proteins, as regulators of P+3 bearing substrate turnover. Interestingly, P+3 UBR substrates are significantly enriched for secretory proteins. We found that secretory proteins relying on a signal peptide (SP) for their targeting contain a “built-in” N-degron within their SP. This degron becomes exposed by DPP8/9 upon translocation failure to the designated compartments, thus enabling clearance of mislocalized proteins by UBRs to maintain proteostasis.

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists

              Functional analysis of large gene lists, derived in most cases from emerging high-throughput genomic, proteomic and bioinformatics scanning approaches, is still a challenging and daunting task. The gene-annotation enrichment analysis is a promising high-throughput strategy that increases the likelihood for investigators to identify biological processes most pertinent to their study. Approximately 68 bioinformatics enrichment tools that are currently available in the community are collected in this survey. Tools are uniquely categorized into three major classes, according to their underlying enrichment algorithms. The comprehensive collections, unique tool classifications and associated questions/issues will provide a more comprehensive and up-to-date view regarding the advantages, pitfalls and recent trends in a simpler tool-class level rather than by a tool-by-tool approach. Thus, the survey will help tool designers/developers and experienced end users understand the underlying algorithms and pertinent details of particular tool categories/tools, enabling them to make the best choices for their particular research interests.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: ValidationRole: Visualization
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Resources
                Role: InvestigationRole: Validation
                Role: Formal analysisRole: InvestigationRole: Formal analysisRole: InvestigationRole: Writing - review & editing
                Role: Formal analysisRole: Writing - review & editing
                Role: Investigation
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Project administration
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing - original draft
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Journal
                J Cell Biol
                J Cell Biol
                jcb
                The Journal of Cell Biology
                Rockefeller University Press
                0021-9525
                1540-8140
                05 August 2024
                14 June 2024
                : 223
                : 8
                : e202311035
                Affiliations
                [1 ]The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University ( https://ror.org/03kgsv495) , Ramat-Gan, Israel
                [2 ]Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre; , Cambridge, UK
                [3 ]Department of Genetics, Harvard Medical School, Brigham and Women’s Hospital, Howard Hughes Medical Institute ( https://ror.org/03wevmz92) , Boston, MA, USA
                Author notes
                Correspondence to Itay Koren: itay.koren@ 123456biu.ac.il
                [*]

                A. Shimshon and K. Dahan contributed equally to this paper.

                [**]

                M. Israel-Gueta, D. Olmayev-Yaakobov, and R.T. Timms contributed equally to this paper.

                Disclosures: The authors declare no competing interests exist.

                Author information
                https://orcid.org/0009-0004-2473-388X
                https://orcid.org/0000-0002-7866-2018
                https://orcid.org/0009-0008-2192-7020
                https://orcid.org/0000-0002-8168-2116
                https://orcid.org/0000-0001-7275-597X
                https://orcid.org/0009-0003-3942-3836
                https://orcid.org/0009-0005-2882-9202
                https://orcid.org/0000-0001-7923-6283
                https://orcid.org/0000-0002-5693-1651
                Article
                jcb.202311035
                10.1083/jcb.202311035
                11178506
                38874443
                935f4e0d-c1a6-48b8-b395-7ac1eda2e6fd
                © 2024 Shimshon et al.

                This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/).

                History
                : 09 November 2023
                : 21 March 2024
                : 30 April 2024
                Funding
                Funded by: United States-Israel Binational Science Foundation, DOI http://dx.doi.org/10.13039/501100001742;
                Award ID: 2021029
                Funded by: European Research Council, DOI http://dx.doi.org/10.13039/501100000781;
                Award ID: ERC-2020-STG 947709
                Funded by: Howard Hughes Medical Institute, DOI http://dx.doi.org/10.13039/100000011;
                Categories
                Article
                Biochemistry
                Protein Homeostasis

                Cell biology
                Cell biology

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