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1.
Viruses ; 14(8)2022 07 23.
Article in English | MEDLINE | ID: mdl-35893676

ABSTRACT

TRIM7 catalyzes the ubiquitination of multiple substrates with unrelated biological functions. This cross-reactivity is at odds with the specificity usually displayed by enzymes, including ubiquitin ligases. Here we show that TRIM7's extreme substrate promiscuity is due to a highly unusual binding mechanism, in which the PRYSPRY domain captures any ligand with a C-terminal helix that terminates in a hydrophobic residue followed by a glutamine. Many of the non-structural proteins found in RNA viruses contain C-terminal glutamines as a result of polyprotein cleavage by 3C protease. This viral processing strategy generates novel substrates for TRIM7 and explains its ability to inhibit Coxsackie virus and norovirus replication. In addition to viral proteins, cellular proteins such as glycogenin have evolved C-termini that make them a TRIM7 substrate. The 'helix-ΦQ' degron motif recognized by TRIM7 is reminiscent of the N-end degron system and is found in ~1% of cellular proteins. These features, together with TRIM7's restricted tissue expression and lack of immune regulation, suggest that viral restriction may not be its physiological function.


Subject(s)
Caliciviridae Infections , Glutamine , Tripartite Motif Proteins , Ubiquitin-Protein Ligases , 3C Viral Proteases , Enterovirus , Humans , Norovirus , Tripartite Motif Proteins/genetics , Ubiquitin-Protein Ligases/metabolism , Viral Proteins/genetics
2.
PLoS Genet ; 16(11): e1009175, 2020 11.
Article in English | MEDLINE | ID: mdl-33206635

ABSTRACT

The SARS-CoV-2 pandemic has led to unprecedented, nearly real-time genetic tracing due to the rapid community sequencing response. Researchers immediately leveraged these data to infer the evolutionary relationships among viral samples and to study key biological questions, including whether host viral genome editing and recombination are features of SARS-CoV-2 evolution. This global sequencing effort is inherently decentralized and must rely on data collected by many labs using a wide variety of molecular and bioinformatic techniques. There is thus a strong possibility that systematic errors associated with lab-or protocol-specific practices affect some sequences in the repositories. We find that some recurrent mutations in reported SARS-CoV-2 genome sequences have been observed predominantly or exclusively by single labs, co-localize with commonly used primer binding sites and are more likely to affect the protein-coding sequences than other similarly recurrent mutations. We show that their inclusion can affect phylogenetic inference on scales relevant to local lineage tracing, and make it appear as though there has been an excess of recurrent mutation or recombination among viral lineages. We suggest how samples can be screened and problematic variants removed, and we plan to regularly inform the scientific community with our updated results as more SARS-CoV-2 genome sequences are shared (https://virological.org/t/issues-with-sars-cov-2-sequencing-data/473 and https://virological.org/t/masking-strategies-for-sars-cov-2-alignments/480). We also develop tools for comparing and visualizing differences among very large phylogenies and we show that consistent clade- and tree-based comparisons can be made between phylogenies produced by different groups. These will facilitate evolutionary inferences and comparisons among phylogenies produced for a wide array of purposes. Building on the SARS-CoV-2 Genome Browser at UCSC, we present a toolkit to compare, analyze and combine SARS-CoV-2 phylogenies, find and remove potential sequencing errors and establish a widely shared, stable clade structure for a more accurate scientific inference and discourse.


Subject(s)
Genome, Viral/genetics , Phylogeny , SARS-CoV-2/genetics , Algorithms , COVID-19 , Computational Biology , Evolution, Molecular , Humans , RNA, Viral/genetics , Sequence Alignment , Whole Genome Sequencing
3.
Elife ; 92020 07 13.
Article in English | MEDLINE | ID: mdl-32657267

ABSTRACT

Translation of aberrant mRNAs can cause ribosomes to stall, leading to collisions with trailing ribosomes. Collided ribosomes are specifically recognised by ZNF598 to initiate protein and mRNA quality control pathways. Here we found using quantitative proteomics of collided ribosomes that EDF1 is a ZNF598-independent sensor of ribosome collisions. EDF1 stabilises GIGYF2 at collisions to inhibit translation initiation in cis via 4EHP. The GIGYF2 axis acts independently of the ZNF598 axis, but each pathway's output is more pronounced without the other. We propose that the widely conserved and highly abundant EDF1 monitors the transcriptome for excessive ribosome density, then triggers a GIGYF2-mediated response to locally and temporarily reduce ribosome loading. Only when collisions persist is translation abandoned to initiate ZNF598-dependent quality control. This tiered response to ribosome collisions would allow cells to dynamically tune translation rates while ensuring fidelity of the resulting protein products.


Subject(s)
Carrier Proteins/metabolism , Protein Processing, Post-Translational , Ribosomes/metabolism , Feedback, Physiological , HEK293 Cells , Humans , Proteomics , RNA, Messenger/metabolism
4.
Proc Natl Acad Sci U S A ; 117(11): 5977-5986, 2020 03 17.
Article in English | MEDLINE | ID: mdl-32123117

ABSTRACT

Understanding the molecular basis of adaptation to the environment is a central question in evolutionary biology, yet linking detected signatures of positive selection to molecular mechanisms remains challenging. Here we demonstrate that combining sequence-based phylogenetic methods with structural information assists in making such mechanistic interpretations on a genomic scale. Our integrative analysis shows that positively selected sites tend to colocalize on protein structures and that positively selected clusters are found in functionally important regions of proteins, indicating that positive selection can contravene the well-known principle of evolutionary conservation of functionally important regions. This unexpected finding, along with our discovery that positive selection acts on structural clusters, opens previously unexplored strategies for the development of better models of protein evolution. Remarkably, proteins where we detect the strongest evidence of clustering belong to just two functional groups: Components of immune response and metabolic enzymes. This gives a coherent picture of pathogens and xenobiotics as important drivers of adaptive evolution of mammals.


Subject(s)
Adaptation, Physiological , Evolution, Molecular , Mammals/genetics , Mammals/physiology , Selection, Genetic , Animals , Environment , Enzymes/chemistry , Genomics , Immunity , Mammals/immunology , Models, Molecular , Phylogeny , Protein Conformation , Proteins/chemistry
5.
Elife ; 82019 10 15.
Article in English | MEDLINE | ID: mdl-31613747

ABSTRACT

The genetic basis of most human disease cannot be explained by common variants. One solution to this 'missing heritability problem' may be rare missense variants, which are individually scarce but collectively abundant. However, the phenotypic impact of rare variants is under-appreciated as gene function is normally studied in the context of a single 'wild-type' sequence. Here, we explore the impact of naturally occurring missense variants in the human population on the cytosolic antibody receptor TRIM21, using volunteer cells with variant haplotypes, CRISPR gene editing and functional reconstitution. In combination with data from a panel of computational predictors, the results suggest that protein robustness and purifying selection ensure that function is remarkably well-maintained despite coding variation.


Subject(s)
Adenoviridae/chemistry , Antibodies, Viral/chemistry , Mutation, Missense , Polymorphism, Genetic , Ribonucleoproteins/chemistry , Adenoviridae/genetics , Antibodies, Viral/genetics , Antibodies, Viral/immunology , Binding Sites , Computational Biology/methods , Conserved Sequence , Gene Expression , HEK293 Cells , Haplotypes , HeLa Cells , Healthy Volunteers , Humans , Models, Molecular , Protein Binding , Protein Conformation, alpha-Helical , Protein Conformation, beta-Strand , Protein Interaction Domains and Motifs , Ribonucleoproteins/genetics , Ribonucleoproteins/immunology , Selection, Genetic
6.
Nat Commun ; 10(1): 667, 2019 02 08.
Article in English | MEDLINE | ID: mdl-30737406

ABSTRACT

Class F receptors are considered valuable therapeutic targets due to their role in human disease, but structural changes accompanying receptor activation remain unexplored. Employing population and cancer genomics data, structural analyses, molecular dynamics simulations, resonance energy transfer-based approaches and mutagenesis, we identify a conserved basic amino acid in TM6 in Class F receptors that acts as a molecular switch to mediate receptor activation. Across all tested Class F receptors (FZD4,5,6,7, SMO), mutation of the molecular switch confers an increased potency of agonists by stabilizing an active conformation as assessed by engineered mini G proteins as conformational sensors. Disruption of the switch abrogates the functional interaction between FZDs and the phosphoprotein Dishevelled, supporting conformational selection as a prerequisite for functional selectivity. Our studies reveal the molecular basis of a common activation mechanism conserved in all Class F receptors, which facilitates assay development and future discovery of Class F receptor-targeting drugs.


Subject(s)
Models, Theoretical , Molecular Dynamics Simulation , Receptors, G-Protein-Coupled/metabolism , Flow Cytometry , HEK293 Cells , Humans , Immunoblotting , Mitogen-Activated Protein Kinase 1 , Mitogen-Activated Protein Kinase 3 , Models, Molecular , Phylogeny , Protein Binding , Protein Conformation , Receptors, G-Protein-Coupled/genetics
7.
Mol Syst Biol ; 14(12): e8741, 2018 12 20.
Article in English | MEDLINE | ID: mdl-30573689

Subject(s)
Nucleotides
8.
Proc Natl Acad Sci U S A ; 115(41): 10440-10445, 2018 10 09.
Article in English | MEDLINE | ID: mdl-30209217

ABSTRACT

Adenovirus has enormous potential as a gene-therapy vector, but preexisting immunity limits its widespread application. What is responsible for this immune block is unclear because antibodies potently inhibit transgene expression without impeding gene transfer into target cells. Here we show that antibody prevention of adenoviral gene delivery in vivo is mediated by the cytosolic antibody receptor TRIM21. Genetic KO of TRIM21 or a single-antibody point mutation is sufficient to restore transgene expression to near-naïve immune levels. TRIM21 is also responsible for blocking cytotoxic T cell induction by vaccine vectors, preventing a protective response against subsequent influenza infection and an engrafted tumor. Furthermore, adenoviral preexisting immunity can lead to an augmented immune response upon i.v. administration of the vector. Transcriptomic analysis of vector-transduced tissue reveals that TRIM21 is responsible for the specific up-regulation of hundreds of immune genes, the majority of which are components of the intrinsic or innate response. Together, these data define a major mechanism underlying the preimmune block to adenovirus gene therapy and demonstrate that TRIM21 efficiently blocks gene delivery in vivo while simultaneously inducing a rapid program of immune transcription.


Subject(s)
Adenoviridae Infections/therapy , Adenoviridae/immunology , Antibodies/immunology , Fibrosarcoma/therapy , Genetic Therapy , Ribonucleoproteins/physiology , Vaccination , Adenoviridae Infections/genetics , Adenoviridae Infections/immunology , Animals , Fibrosarcoma/genetics , Fibrosarcoma/immunology , Gene Transfer Techniques , Genetic Vectors , Mice , Mice, Inbred C57BL , Mice, Knockout , Transgenes , Tumor Cells, Cultured
9.
Nat Methods ; 14(1): 61-64, 2017 01.
Article in English | MEDLINE | ID: mdl-27892958

ABSTRACT

Genome-scale human protein-protein interaction networks are critical to understanding cell biology and interpreting genomic data, but challenging to produce experimentally. Through data integration and quality control, we provide a scored human protein-protein interaction network (InWeb_InBioMap, or InWeb_IM) with severalfold more interactions (>500,000) and better functional biological relevance than comparable resources. We illustrate that InWeb_InBioMap enables functional interpretation of >4,700 cancer genomes and genes involved in autism.


Subject(s)
Computational Biology/methods , Data Interpretation, Statistical , Gene Regulatory Networks , Genomics/methods , Neoplasms/genetics , Neoplasms/metabolism , Protein Interaction Maps/genetics , Databases, Protein , Genome, Human , Humans , User-Computer Interface
10.
Epigenetics ; 10(4): 274-81, 2015.
Article in English | MEDLINE | ID: mdl-25634226

ABSTRACT

In mammals, DNA methylation profiles vary substantially between tissues. Recent genome-scale studies report that blood displays a highly distinctive methylomic profile from other somatic tissues. In this study, we sought to understand why blood DNA methylation state is so different to the one found in other tissues. We found that whole blood contains approximately twice as many tissue-specific differentially methylated positions (tDMPs) than any other somatic tissue examined. Furthermore, a large subset of blood tDMPs showed much lower levels of methylation than tDMPs for other tissues. Surprisingly, these regions of low methylation in blood show no difference regarding genomic location, genomic content, evolutionary rates, or histone marks when compared to other tDMPs. Our results reveal why blood displays a distinctive methylation profile relative to other somatic tissues. In the future, it will be important to study how these blood specific tDMPs are mechanistically involved in blood-specific functions.


Subject(s)
Blood/metabolism , DNA Methylation , Histone Code , Histones/chemistry , Histones/metabolism , Organ Specificity , Gene Expression Regulation , Humans , Methylation
11.
Science ; 345(6204): 1251033, 2014 Sep 26.
Article in English | MEDLINE | ID: mdl-25258084

ABSTRACT

Blood cells derive from hematopoietic stem cells through stepwise fating events. To characterize gene expression programs driving lineage choice, we sequenced RNA from eight primary human hematopoietic progenitor populations representing the major myeloid commitment stages and the main lymphoid stage. We identified extensive cell type-specific expression changes: 6711 genes and 10,724 transcripts, enriched in non-protein-coding elements at early stages of differentiation. In addition, we found 7881 novel splice junctions and 2301 differentially used alternative splicing events, enriched in genes involved in regulatory processes. We demonstrated experimentally cell-specific isoform usage, identifying nuclear factor I/B (NFIB) as a regulator of megakaryocyte maturation-the platelet precursor. Our data highlight the complexity of fating events in closely related progenitor populations, the understanding of which is essential for the advancement of transplantation and regenerative medicine.


Subject(s)
Alternative Splicing , Cell Lineage/genetics , Hematopoiesis/genetics , Hematopoietic Stem Cells/cytology , Genetic Variation , Hematopoietic Stem Cells/metabolism , Humans , NFI Transcription Factors/genetics , NFI Transcription Factors/metabolism , RNA-Binding Proteins/metabolism , Thrombopoiesis/genetics , Transcriptome
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