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      Protein G-quadruplex interactions and their effects on phase transitions and protein aggregation

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          Abstract

          The SERF family of proteins were originally discovered for their ability to accelerate amyloid formation. Znf706 is an uncharacterized protein whose N-terminus is homologous to SERF proteins. We show here that human Znf706 can promote protein aggregation and amyloid formation. Unexpectedly, Znf706 specifically interacts with stable, non-canonical nucleic acid structures known as G-quadruplexes. G-quadruplexes can affect gene regulation and suppress protein aggregation; however, it is unknown if and how these two activities are linked. We find Znf706 binds preferentially to parallel G-quadruplexes with low micromolar affinity, primarily using its N-terminus, and upon interaction, its dynamics are constrained. G-quadruplex binding suppresses Znf706’s ability to promote protein aggregation. Znf706 in conjunction with G-quadruplexes therefore may play a role in regulating protein folding. RNAseq analysis shows that Znf706 depletion specifically impacts the mRNA abundance of genes that are predicted to contain high G-quadruplex density. Our studies give insight into how proteins and G-quadruplexes interact, and how these interactions affect both partners and lead to the modulation of protein aggregation and cellular mRNA levels. These observations suggest that the SERF family of proteins, in conjunction with G-quadruplexes, may have a broader role in regulating protein folding and gene expression than previously appreciated.

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          Most cited references110

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              HISAT: a fast spliced aligner with low memory requirements.

              HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical index for the human genome contains 48,000 local FM indexes, each representing a genomic region of ∼64,000 bp. Tests on real and simulated data sets showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method. Despite its large number of indexes, HISAT requires only 4.3 gigabytes of memory. HISAT supports genomes of any size, including those larger than 4 billion bases.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 May 2024
                04 April 2024
                04 April 2024
                : 52
                : 8
                : 4702-4722
                Affiliations
                Howard Hughes Medical Institute, University of Michigan , Ann Arbor, MI, USA
                Department of Molecular, Cellular and Developmental Biology, University of Michigan , Ann Arbor, MI, USA
                National Institute of Chemistry , Ljubljana, Slovenia
                Howard Hughes Medical Institute, University of Michigan , Ann Arbor, MI, USA
                Department of Molecular, Cellular and Developmental Biology, University of Michigan , Ann Arbor, MI, USA
                Howard Hughes Medical Institute, University of Michigan , Ann Arbor, MI, USA
                Department of Molecular, Cellular and Developmental Biology, University of Michigan , Ann Arbor, MI, USA
                Howard Hughes Medical Institute, University of Michigan , Ann Arbor, MI, USA
                Department of Molecular, Cellular and Developmental Biology, University of Michigan , Ann Arbor, MI, USA
                Howard Hughes Medical Institute, University of Michigan , Ann Arbor, MI, USA
                Department of Molecular, Cellular and Developmental Biology, University of Michigan , Ann Arbor, MI, USA
                Howard Hughes Medical Institute, University of Michigan , Ann Arbor, MI, USA
                Department of Molecular, Cellular and Developmental Biology, University of Michigan , Ann Arbor, MI, USA
                National Institute of Chemistry , Ljubljana, Slovenia
                Department of Pharmacology , UNC Chapel Hill, USA
                Department of Pharmacology , UNC Chapel Hill, USA
                National Institute of Chemistry , Ljubljana, Slovenia
                Howard Hughes Medical Institute, University of Michigan , Ann Arbor, MI, USA
                Department of Molecular, Cellular and Developmental Biology, University of Michigan , Ann Arbor, MI, USA
                Author notes
                To whom correspondence should be addressed. Tel: +1 734 647 6683; Fax: +1 734 615 4226; Email: jbardwel@ 123456umich.edu
                Author information
                https://orcid.org/0000-0002-5644-7245
                https://orcid.org/0009-0008-8758-5705
                https://orcid.org/0000-0003-1570-8602
                https://orcid.org/0000-0003-1683-1944
                Article
                gkae229
                10.1093/nar/gkae229
                11077067
                38572746
                da263499-c485-4626-9fef-543177c7c96b
                © The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 March 2024
                : 14 March 2024
                : 06 December 2023
                Page count
                Pages: 21
                Funding
                Funded by: Howard Hughes Medical Institute, DOI 10.13039/100000011;
                Funded by: UNC start-up;
                Funded by: National Institutes of Health, DOI 10.13039/100000002;
                Award ID: R35GM142864
                Funded by: Slovenian Research Agency, DOI 10.13039/501100004329;
                Award ID: P1-0242
                Award ID: Z1-3192
                Award ID: J1-1704
                Categories
                AcademicSubjects/SCI00010
                Structural Biology

                Genetics
                Genetics

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