Minireview: Novel Micropeptide Discovery by Proteomics and Deep Sequencing Methods
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Requirement of the Fusogenic Micropeptide Myomixer for Muscle Formation in Zebrafish
Requirement of the fusogenic micropeptide myomixer for muscle formation in zebrafish Jun Shia,b,1, Pengpeng Bia,b,c,1, Jimin Peid, Hui Lia,b,c, Nick V. Grishind,e, Rhonda Bassel-Dubya,b,c, Elizabeth H. Chena,b,2, and Eric N. Olsona,b,c,2 aDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390; bHamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390; cSenator Paul D. Wellstone Muscular Dystrophy Cooperative Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75390; dHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390; and eDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX 75390 Contributed by Eric N. Olson, September 28, 2017 (sent for review August 29, 2017; reviewed by Chen-Ming Fan and Thomas A. Rando) Skeletal muscle formation requires fusion of mononucleated myo- CRISPR/Cas9, we show that myomixer is required for zebrafish blasts to form multinucleated myofibers. The muscle-specific mem- myoblast fusion. We also identify additional distantly related brane proteins myomaker and myomixer cooperate to drive myomixer orthologs from genomes of turtle and elephant shark, mammalian myoblast fusion. Whereas myomaker is highly conserved which like zebrafish myomixer can substitute for mouse myomixer across diverse vertebrate species, myomixer is a micropeptide that to promote cell fusion together with myomaker in cultured cells. shows relatively weak cross-species conservation. To explore the By comparison of amino acid sequences across these diverse functional conservation of myomixer, we investigated the expres- species, we identify a unique protein motif required for the sion and function of the zebrafish myomixer ortholog. -
ELABELA, a Peptide Hormone for Heart Development
RESEARCH HIGHLIGHTS parasites and confirmed its role in OXA resistance by showing that RNA The cancer epigenome of mice and men interference knockdown of Smp_089320 in drug-sensitive parasites Genetically engineered mouse models (GEMMs) of human resulted in an increase in resistance. They found that the Smp_089320 disease rarely take into account epigenetic alterations, which protein in sensitive but not resistant strains showed sulfonation activity, contribute to many human cancers. Now, Stephen Tapscott and identifying a mechanism for the drug in which it acts as a sulfotrans- colleagues compare genome-wide patterns of cancer-specific ferase that activates OXA. Finally, the authors determined the crystal DNA methylation in human patients and three GEMMs of structure of Smp_089320 protein from sensitive parasites with OXA medulloblastoma (Epigenetics 8, 1254–1260, 2013). Using two bound and suggest that the mechanism of resistance involves disruption independent methods to measure CpG methylation, they find, of the drug-protein interaction in resistant strains. Comparative and in contrast to the hypermethylation patterns previously observed phylogenetic analysis with other schistosomes also suggests the basis in patients with medulloblastoma, that GEMMs had only modest for the species specificity in OXA drug action. OB increase in CpG methylation of gene promoters relative to wild- type controls. Whereas a human medulloblastoma tumor sample showed >60% increase in methylation at 121 loci, consistent ELABELA, a peptide hormone for heart with the authors’ previous work, there were only 0–16 such loci development in the GEMMs. They further extend these findings to mouse models of Burkitt lymphoma and breast cancer, which showed Bruno Reversade and colleagues identify a highly conserved gene encod- similar results. -
Clinical Implications of Recent Advances in Proteogenomics
Clinical implications of recent advances in proteogenomics Marie Locard-Paulet, Olivier Pible, Anne Gonzalez de Peredo, Béatrice Alpha-Bazin, Christine Almunia, Odile Burlet-Schiltz, J. Armengaud To cite this version: Marie Locard-Paulet, Olivier Pible, Anne Gonzalez de Peredo, Béatrice Alpha-Bazin, Christine Almu- nia, et al.. Clinical implications of recent advances in proteogenomics. Expert Review of Proteomics, Taylor & Francis, 2016, 13 (2), pp.185-199. 10.1586/14789450.2016.1132169. hal-03080146 HAL Id: hal-03080146 https://hal.archives-ouvertes.fr/hal-03080146 Submitted on 19 Mar 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Publisher: Taylor & Francis Journal: Expert Review of Proteomics DOI: 10.1586/14789450.2016.1132169 Review Clinical implications of recent advances in proteogenomics Marie Locard-Paulet1,2, Olivier Pible3, Anne Gonzalez de Peredo1,2, Béatrice Alpha-Bazin3, Christine Almunia3, Odile Burlet-Schiltz1,2, Jean Armengaud3* 1CNRS, IPBS (Institut de Pharmacologie et Biologie Structurale), 205 route de Narbonne, 31077 Toulouse, France. 2Université de Toulouse, UPS, IPBS, 31077 Toulouse, France. 3CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory “Innovative technologies for Detection and Diagnostics”, BP 17171, F-30200 Bagnols-sur-Cèze, France. -
The Microprotein Minion Controls Cell Fusion and Muscle Formation
ARTICLE Received 29 Mar 2017 | Accepted 19 Apr 2017 | Published 1 Jun 2017 DOI: 10.1038/ncomms15664 OPEN The microprotein Minion controls cell fusion and muscle formation Qiao Zhang1, Ajay A. Vashisht1, Jason O’Rourke1, Ste´phane Y. Corbel1, Rita Moran1, Angelica Romero1, Loren Miraglia1, Jia Zhang1, Eric Durrant1, Christian Schmedt1, Srinath C. Sampath1,2,* & Srihari C. Sampath1,2,* Although recent evidence has pointed to the existence of small open reading frame (smORF)-encoded microproteins in mammals, their function remains to be determined. Skeletal muscle development requires fusion of mononuclear progenitors to form multinucleated myotubes, a critical but poorly understood process. Here we report the identification of Minion (microprotein inducer of fusion), a smORF encoding an essential skeletal muscle specific microprotein. Myogenic progenitors lacking Minion differentiate normally but fail to form syncytial myotubes, and Minion-deficient mice die perinatally and demonstrate a marked reduction in fused muscle fibres. The fusogenic activity of Minion is conserved in the human orthologue, and co-expression of Minion and the transmembrane protein Myomaker is sufficient to induce cellular fusion accompanied by rapid cytoskeletal rearrangement, even in non-muscle cells. These findings establish Minion as a novel microprotein required for muscle development, and define a two-component programme for the induction of mammalian cell fusion. Moreover, these data also significantly expand the known functions of smORF-encoded microproteins. 1 Genomics Institute of the Novartis Research Foundation, 10675 John Jay Hopkins Drive, San Diego, California 92121, USA. 2 Division of Musculoskeletal Imaging, Department of Radiology, University of California San Diego School of Medicine, 200 West Arbor Drive, San Diego, California 92103, USA. -
Personalized Single-Cell Proteogenomics to Distinguish Acute Myeloid Leukemia from Nonmalignant Clonal Hematopoiesis
RESEARCH BRIEF Personalized Single-Cell Proteogenomics to Distinguish Acute Myeloid Leukemia from Nonmalignant Clonal Hematopoiesis Laura W. Dillon1, Jack Ghannam1, Chidera Nosiri1, Gege Gui1, Meghali Goswami1, Katherine R. Calvo2, Katherine E. Lindblad1, Karolyn A. Oetjen1, Matthew D. Wilkerson3,4,5, Anthony R. Soltis3,4, Gauthaman Sukumar4,6, Clifton L. Dalgard5,6, Julie Thompson1, Janet Valdez1, Christin B. DeStefano1, Catherine Lai1, Adam Sciambi7, Robert Durruthy-Durruthy7, Aaron Llanso7, Saurabh Gulati7, Shu Wang7, Aik Ooi7, Pradeep K. Dagur8, J. Philip McCoy8, Patrick Burr9, Yuesheng Li9, and Christopher S. Hourigan1 ABSTRACT Genetic mutations associated with acute myeloid leukemia (AML) also occur in age- related clonal hematopoiesis, often in the same individual. This makes confident assignment of detected variants to malignancy challenging. The issue is particularly crucial for AML posttreatment measurable residual disease monitoring, where results can be discordant between genetic sequencing and flow cytometry. We show here that it is possible to distinguish AML from clonal hematopoiesis and to resolve the immunophenotypic identity of clonal architecture. To achieve this, we first design patient-specific DNA probes based on patient’s whole-genome sequencing and then use them for patient-personalized single-cell DNA sequencing with simultaneous single-cell antibody– oligonucleotide sequencing. Examples illustrate AML arising from DNMT3A- and TET2-mutated clones as well as independently. The ability to personalize single-cell proteogenomic assessment for individual patients based on leukemia-specific genomic features has implications for ongoing AML precision medicine efforts. SIGNIFICANCE: This study offers a proof of principle of patient-personalized customized single-cell proteogenomics in AML including whole-genome sequencing–defined structural variants, currently unmeasurable by commercial “off-the-shelf” panels. -
Computational Analysis Predicts Hundreds of Coding Lncrnas in Zebrafish
biology Communication Computational Analysis Predicts Hundreds of Coding lncRNAs in Zebrafish Shital Kumar Mishra 1,2 and Han Wang 1,2,* 1 Center for Circadian Clocks, Soochow University, Suzhou 215123, China; [email protected] 2 School of Biology & Basic Medical Sciences, Medical College, Soochow University, Suzhou 215123, China * Correspondence: [email protected] or [email protected]; Tel.: +86-512-6588-2115 Simple Summary: Noncoding RNAs (ncRNAs) regulate a variety of fundamental life processes such as development, physiology, metabolism and circadian rhythmicity. RNA-sequencing (RNA- seq) technology has facilitated the sequencing of the whole transcriptome, thereby capturing and quantifying the dynamism of transcriptome-wide RNA expression profiles. However, much remains unrevealed in the huge noncoding RNA datasets that require further bioinformatic analysis. In this study, we applied six bioinformatic tools to investigate coding potentials of approximately 21,000 lncRNAs. A total of 313 lncRNAs are predicted to be coded by all the six tools. Our findings provide insights into the regulatory roles of lncRNAs and set the stage for the functional investigation of these lncRNAs and their encoded micropeptides. Abstract: Recent studies have demonstrated that numerous long noncoding RNAs (ncRNAs having more than 200 nucleotide base pairs (lncRNAs)) actually encode functional micropeptides, which likely represents the next regulatory biology frontier. Thus, identification of coding lncRNAs from ever-increasing lncRNA databases would be a bioinformatic challenge. Here we employed the Coding Potential Alignment Tool (CPAT), Coding Potential Calculator 2 (CPC2), LGC web server, Citation: Mishra, S.K.; Wang, H. Coding-Non-Coding Identifying Tool (CNIT), RNAsamba, and MicroPeptide identification tool Computational Analysis Predicts (MiPepid) to analyze approximately 21,000 zebrafish lncRNAs and computationally to identify Hundreds of Coding lncRNAs in 2730–6676 zebrafish lncRNAs with high coding potentials, including 313 coding lncRNAs predicted Zebrafish. -
Stem Cell Metabolic and Epigenetic Reprogramming
RESEARCH HIGHLIGHTS Cell 16, 39–50, 2015). They discovered that inactivating Rb facilitates Enhancer evolution in mammals reprogramming of fibroblasts to a pluripotent state. Surprisingly, their Widespread changes in regulatory genomic regions have data indicate that this does not involve interference with the cell cycle but underpinned mammalian evolution, but our knowledge about instead that Rb directly binds to and represses pluripotency-associated these regions is still incomplete. Paul Flicek, Duncan Odom and loci such as Oct4 (Pou5f1) and Sox2. Loss of Rb seems to compensate colleagues have now contributed to a better understanding of for the omission of Sox2 from the cocktail of reprogramming factors. how the noncoding portions of mammalian genomes have been Furthermore, genetic disruption of Sox2 precludes tumor formation in reshaped over the last 180 million years (Cell 160, 554–566, mice lacking functional Rb protein. This study positions Rb as a repres- 2015). They characterized active promoters and enhancers in sor of the pluripotency gene regulatory network and suggests that loss of liver samples from 20 mammalian species—from Tasmanian Rb might clear the path for Sox2, or other master regulators of stem cell devil to human—by examining the genome-wide enrichment identity, to induce cancer. It will be interesting to analyze the potential profiles of H3K4me3 and H3K27ac, two histone modifications role of Rb in other types of in vitro reprogramming. TF associated with transcriptional activity. Their analyses suggest that rapid enhancer evolution and high promoter conservation are fundamental traits of mammalian genomes. Intriguingly, they Micropeptide regulates muscle performance find that the majority of newly evolved enhancers originated via It is becoming increasingly recognized that some transcripts anno- functional exaptation of ancestral DNA and not through clade- tated as long noncoding RNAs (lncRNAs) contain short ORFs that specific expansions of repeat elements. -
Polysome-Profiling in Small Tissue Samples
bioRxiv preprint doi: https://doi.org/10.1101/104596; this version posted February 1, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Polysome-profiling in small tissue samples Shuo Liang1,#, Hermano Bellato2,#, Julie Lorent1,#, Fernanda Lupinacci2, Vincent Van Hoef1, Laia Masvidal1,*, Glaucia Hajj2,* and Ola Larsson1,* 1. Department of Oncology-Pathology, Karolinska Institutet, Stockholm, 171 77, Sweden 2. International Research Center, A.C. Camargo Cancer Center, São Paulo, Brazil # Equally contributing authors * Correspondence: Laia Masvidal ([email protected]), Glaucia Hajj ([email protected]) and Ola Larsson ([email protected]) ABSTRACT Polysome-profiling is commonly used to study genome wide patterns of translational efficiency, i.e. the translatome. The standard approach for collecting efficiently translated polysome-associated RNA results in laborious extraction of RNA from a large volume spread across multiple fractions. This property makes polysome-profiling inconvenient for larger experimental designs or samples with low RNA amounts such as primary cells or frozen tissues. To address this we optimized a non-linear sucrose gradient which reproducibly enriches for mRNAs associated with >3 ribosomes in only one or two fractions, thereby reducing sample handling 5-10 fold. The technique can be applied to cells and frozen tissue samples from biobanks, and generates RNA with a quality reflecting the starting material. When coupled with smart-seq2, a single-cell RNA sequencing technique, translatomes from small tissue samples can be obtained. Translatomes acquired using optimized non-linear gradients are very similar to those obtained when applying linear gradients. -
Using Ribosome Profiling to Quantify Differences in Protein Expression
bioRxiv preprint doi: https://doi.org/10.1101/501478; this version posted December 19, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 Using ribosome profiling to quantify differences in protein expression: 2 a case study in Saccharomyces cerevisiae oxidative stress conditions 3 4 5 William R. Blevins1,#, Teresa Tavella1,#, Simone G. Moro1, Bernat Blasco-Moreno2, 6 Adrià Closa-Mosquera2, Juana Díez2, Lucas B. Carey2, M. Mar Albà1,2,3,* 7 8 1Evolutionary Genomics Groups, Research Programme on Biomedical Informatics (GRIB), Hospital del 9 Mar Research Institute (IMIM), Barcelona, Spain 10 2Health and Experimental Sciences Department, Universitat Pompeu Fabra(UPF), Barcelona, Spain 11 3Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain. 12 #Shared first co-authorship 13 *To whom correspondence should be addressed. 14 Running title: differential gene translation 15 Keywords: differential gene expression, ribosome profiling, RNA-Seq, translation, oxidative stress 1 bioRxiv preprint doi: https://doi.org/10.1101/501478; this version posted December 19, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 16 Abstract 17 18 Cells respond to changes in the environment by modifying the concentration of specific 19 proteins. Paradoxically, the cellular response is usually examined by measuring variations 20 in transcript abundance by high throughput RNA sequencing (RNA-Seq), instead of 21 directly measuring protein concentrations. -
In This Issue High-Throughput Single Protein Pulling Backpack Recorders for Zebra Finches a Deeper Look at Proteogenomics Genome
NATURE METHODS | VOL.11 NO.11 | NOVEMBER 2014 IN THIS ISSUE software tool that bins genomic fragments that have Improving tools for synthetic first undergone limited preassembly into contigs. biology Their strategy uses a variational Bayesian approach combining sequence composition and correlated To rapidly and reliably engineer biological abundance across multiple samples to produce networks—one of the promises of synthetic sequence assignments. CONCOCT bins genomes with biology—a larger repertoire of regulatory high precision and recall in simulated and real data, elements and better characterization of their providing higher coverage than can typically be performance are needed. Two groups now deliver reached by single-cell sequencing. on each of these aspects. Smolke and colleagues Brief Communication p1144 present a model to predict the expression of a target gene that is regulated by a microRNA and then extend the model to anticipate the High-throughput single protein behavior of genetic circuits that use protein- responsive microRNA switches to detect the pulling concentration of a nuclear protein in mammalian One of the main technical challenges in making cells. Fussenegger and colleagues create a library single-molecule force spectroscopy measurements of protein-responsive ribozymes for translational control and then design a three-input AND gate has been the method’s low-throughput nature, which in mammalian cells that combines transcriptional has precluded the screening of large protein-variant and translational control. libraries. Nash and colleagues now describe a system Articles p1147, p1154, News and Views p1105 that readily enables thousands of protein pulling measurements. They begin with a microspotted DNA array and synthesize proteins in situ with the aid of A deeper look at proteogenomics microfluidics-based cell-free expression technology. -
The Lncrna Toolkit: Databases and in Silico Tools for Lncrna Analysis
non-coding RNA Review The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis Holly R. Pinkney † , Brandon M. Wright † and Sarah D. Diermeier * Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand; [email protected] (H.R.P.); [email protected] (B.M.W.) * Correspondence: [email protected] † These authors contributed equally to this work. Received: 29 November 2020; Accepted: 15 December 2020; Published: 16 December 2020 Abstract: Long non-coding RNAs (lncRNAs) are a rapidly expanding field of research, with many new transcripts identified each year. However, only a small subset of lncRNAs has been characterized functionally thus far. To aid investigating the mechanisms of action by which new lncRNAs act, bioinformatic tools and databases are invaluable. Here, we review a selection of computational tools and databases for the in silico analysis of lncRNAs, including tissue-specific expression, protein coding potential, subcellular localization, structural conformation, and interaction partners. The assembled lncRNA toolkit is aimed primarily at experimental researchers as a useful starting point to guide wet-lab experiments, mainly containing multi-functional, user-friendly interfaces. With more and more new lncRNA analysis tools available, it will be essential to provide continuous updates and maintain the availability of key software in the future. Keywords: non-coding RNAs; long non-coding RNAs; databases; computational analysis; bioinformatic prediction software; RNA interactions; coding potential; RNA structure; RNA function 1. Introduction For decades, the human genome was thought to be a desert of ‘junk DNA’ with sporadic oases of transcriptionally active genes, most of them coding for proteins. -
Coding Sequences of Sarcoplasmic Reticulum Calcium Atpase Regulatory Peptides and Expression of Calcium Regulatory Genes in Recurrent Exertional Rhabdomyolysis
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Papers and Publications in Animal Science Animal Science Department 2019 Coding sequences of sarcoplasmic reticulum calcium ATPase regulatory peptides and expression of calcium regulatory genes in recurrent exertional rhabdomyolysis Stephanie J. Valberg Kaitlin Soave Zoe J. Williams Sudeep Perumbakkam Melissa Schott See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/animalscifacpub Part of the Genetics and Genomics Commons, and the Meat Science Commons This Article is brought to you for free and open access by the Animal Science Department at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Papers and Publications in Animal Science by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors Stephanie J. Valberg, Kaitlin Soave, Zoe J. Williams, Sudeep Perumbakkam, Melissa Schott, Carrie J. Finno, Jessica L. Petersen, Clara Fenger, Joseph M. Autry, and David D. Thomas Received: 7 August 2018 Accepted: 11 January 2019 DOI: 10.1111/jvim.15425 STANDARD ARTICLE Coding sequences of sarcoplasmic reticulum calcium ATPase regulatory peptides and expression of calcium regulatory genes in recurrent exertional rhabdomyolysis Stephanie J. Valberg1 | Kaitlin Soave1 | Zoë J. Williams1 | Sudeep Perumbakkam1 | Melissa Schott1 | Carrie J. Finno2 | Jessica L. Petersen3 | Clara Fenger4 | Joseph M. Autry5 | David D. Thomas5 1McPhail Equine Performance Center, Department of Large Animal Clinical Sciences, Background: Sarcolipin (SLN), myoregulin (MRLN), and dwarf open reading frame (DWORF) are Michigan State University, East Lansing, transmembrane regulators of the sarcoplasmic reticulum calcium transporting ATPase (SERCA) Michigan that we hypothesized played a role in recurrent exertional rhabdomyolysis (RER).