The search for microproteins encoded by long non-coding RNAs in P.patens
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Q Exactive HF
ORGANISM(S): Physcomitrella Patens Subsp. Patens (moss)
TISSUE(S): Plant Cell, Gametophore
SUBMITTER: 
Igor Fesenko
LAB HEAD: Igor Fesenko
PROVIDER: PXD025373 | Pride | 2021-10-05
REPOSITORIES: Pride
Dataset's files
Items per page: 5 1 - 5 of 31 |
Similar Datasets
Project description:Thousands of small open reading frames (smORFs, <100 aa) located on lncRNAs potentially might be translated into peptides or small proteins. We report a comprehensive analysis of the conservation and evolutionary trajectories of smORFs across different plant taxa. For thousands of smORFs, we demonstrate remarkable conservation and significant purifying selection, indicative of their functionality. The expression of the lncRNAs and translation of the smORFs are validated by RNA-sequencing and proteomics, respectively.
2021-10-05 | PXD025267 | Pride
Project description:The absence of thousands of recently annotated small open reading frame (smORF)-encoded peptides and small proteins (microproteins) from databases has precluded their analysis in metabolism and metabolic disease. Given the outsized importance of small proteins and peptides in metabolism—insulin, leptin, amylin, glucagon, and glucagon-like peptide-1 (GLP-1)—microproteins are a potentially rich source of uncharacterized metabolic regulators. Here, we annotate smORFs in primary differentiated brown, white, and beige mouse adipose cells. Ribosome profiling (Ribo-Seq) detected a total of 3,877 unannotated smORFs. Analysis of RNA-Seq datasets revealed diet-regulated smORF expression in adipose tissues, and validated the adipose translation of the feeding-neuron marker gene Gm8773. Gm8773 encodes the mouse homolog of FAM237B, a neurosecretory protein that stimulates food intake and promotes weight gain in chickens. Testing of recombinant mFAM237B produced similar orexigenic activity in mice further supporting a role for FAM237B a metabolic regulator and part of the brain-adipose axis. Furthermore, we showed that data independent acquisition mass spectrometry (DIA-MS) proteomics can provide a sensitive, flexible, and quantitative platform for identifying microproteins by mass spectrometry. Using this system led to the detection of 58 microproteins from cell culture and an additional 25 from mouse serum. The proteomics data established the anti-inflammatory microprotein AW112010 as a circulating factor, and found that serum levels of a microprotein translated from a FRS2 uORF is elevated in older obese mice. Together, the data highlight the value of this database in examining understudied smORFs and microproteins in metabolic research and identifying additional regulators of metabolism.
2022-12-13 | GSE198107 | GEO
Project description:The absence of thousands of recently annotated small open reading frame (smORF)-encoded peptides and small proteins (microproteins) from databases has precluded their analysis in metabolism and metabolic disease. Given the outsized importance of small proteins and peptides in metabolism—insulin, leptin, amylin, glucagon, and glucagon-like peptide-1 (GLP-1)—microproteins are a potentially rich source of uncharacterized metabolic regulators. Here, we annotate smORFs in primary differentiated brown, white, and beige mouse adipose cells. Ribosome profiling (Ribo-Seq) detected a total of 3,877 unannotated smORFs. Analysis of RNA-Seq datasets revealed diet-regulated smORF expression in adipose tissues, and validated the adipose translation of the feeding-neuron marker gene Gm8773. Gm8773 encodes the mouse homolog of FAM237B, a neurosecretory protein that stimulates food intake and promotes weight gain in chickens. Testing of recombinant mFAM237B produced similar orexigenic activity in mice further supporting a role for FAM237B a metabolic regulator and part of the brain-adipose axis. Furthermore, we showed that data independent acquisition mass spectrometry (DIA-MS) proteomics can provide a sensitive, flexible, and quantitative platform for identifying microproteins by mass spectrometry. Using this system led to the detection of 58 microproteins from cell culture and an additional 25 from mouse serum. The proteomics data established the anti-inflammatory microprotein AW112010 as a circulating factor, and found that serum levels of a microprotein translated from a FRS2 uORF is elevated in older obese mice. Together, the data highlight the value of this database in examining understudied smORFs and microproteins in metabolic research and identifying additional regulators of metabolism.
2022-12-13 | GSE197909 | GEO
Project description:Short (<100 codons) open reading frames (sORFs) are common features of all genomes. Proof of translation of sORFs is an important step towards finding of functional sORF-encoded peptides (SEPs). We verified translation of our predicted sORFs using mass-spectrometry (MS) analysis which is often considered as the gold standard in detection of proteins or peptides in cell. Taking into account the shortage of proteomic methods in identifying small proteins or peptides, in our study we used “peptidomic” dataset - endogenous peptides, extracted from three types of moss cells – gametophores, protonemata and protoplasts
2019-08-08 | PXD007923 | Pride
Project description:Proteogenomics methods have identified many non-annotated protein-coding genes in the human genome. Many of the newly discovered protein-coding genes encode peptides and small proteins, referred to collectively as microproteins. Microproteins are produced through ribosome translation of small open reading frames (smORFs). The discovery of many smORFs reveals a blind spot in traditional gene-finding algorithms for these genes. Biological studies have found roles for microproteins in cell biology and physiology, and the potential that there exists additional bioactive microproteins drives the interest in detection and discovery of these molecules. A key step in any proteogenomics workflow is the assembly of RNA-Seq data into likely mRNA transcrips that are then used to create a searchable protein databases. Here we demonstrate that specific features of the assembled transcriptome impact microprotein detection by shotgun proteomics. By tailoring transcript assembly for downstream mass spectrometry searching, we show that we can detect more than double the number of high-quality microprotein candidates and introduce a novel open-source mRNA assembler for proteogenomics (MAPS) that incorporates all of these features. By integrating our specialized assembler, MAPS, and a popular generalized assembler into our proteogenomics pipeline, we detect 45 novel human microproteins from a high quality proteogenomics dataset of a human cell line. We then characterize the features of the novel microproteins, identifying two classes of microproteins. Our work highlights the importance of specialized transcriptome assembly upstream of proteomics validation when searching for short and potentially rare and poorly conserved proteins.
2017-12-20 | GSE92659 | GEO
Project description:Protein-coding small open reading frames (smORFs) are emerging as an important class of genes, however, the coding capacity of smORFs in the human genome is unclear. By integrating de novo transcriptome assembly and Ribo-Seq, we confidently annotate thousands of novel translated smORFs in three human cell lines. We find that smORF translation prediction is noisier than for annotated coding sequences, underscoring the importance of analyzing multiple experiments and footprinting conditions. These smORFs are located within non-coding and antisense transcripts, the UTRs of mRNAs, and unannotated transcripts. Analysis of RNA levels and translation efficiency during cellular stress identifies regulated smORFs and provides an approach for identifying smORFs for further investigation. Sequence conservation and signatures of positive selection indicate that encoded microproteins are likely functional. Additionally, proteomics data from enriched human leukocyte antigen complexes validates the translation of hundreds of smORFs and positions them as a source of novel antigens. Thus, smORFs represent a significant number of important, yet unexplored human genes.
2019-07-03 | GSE125218 | GEO
Project description:Short (<100 codons) open reading frames (sORFs) are common features of all genomes. Proof of translation of sORFs is an important step towards finding of functional sORF-encoded peptides (SEPs). We verified translation of our predicted sORFs using mass-spectrometry (MS) analysis which is often considered as the gold standard in detection of proteins or peptides in cell. Taking into account the shortage of proteomic methods in identifying small proteins or peptides, in our study we used “peptidomic” dataset - endogenous peptides, extracted from three types of moss cells – gametophores, protonemata and protoplasts
2019-08-08 | PXD007922 | Pride
Project description:Proteins are critical components of biological membranes and play key roles in many essential cellular processes. Membrane proteins are a structurally and functionally diverse family of proteins that have recently expanded to include a number of newly discovered tiny proteins called microproteins, or micropeptides. These microproteins are generated from small open reading frames, which produce protein products that are less than 100 amino acids in length. While not all microproteins are membrane proteins, this review will focus specifically on this subclass to highlight some of the important biological activities that have been ascribed to these molecules and to emphasize their promise as exciting new players in membrane biology.
| S-EPMC7050383 | biostudies-literature
Project description:Many proteins achieve their function by acting as part of multi-protein complexes. The formation of these complexes is highly regulated and mediated through domains of protein-protein interaction. Disruption of a complex or of the ability of the proteins to form homodimers, heterodimers or multimers can have severe consequences for cellular function. In this context, the formation of dimers and multimers can be perturbed by proteins referred to here as 'microProteins'. These disruptive protein species contain the protein-interaction domains of bona fide interaction partners, but lack the functional domains required for the activation of, for example, transcription or DNA binding. MicroProteins thus behave as post-translational regulators by forming homotypic dimers with their targets, and act through the dominant-negative suppression of protein complex function. Although the first microProtein was identified more than two decades ago, the recent discovery and characterization of three further small protein species in plants emphasizes their importance. The studies discussed in this review demonstrate that the action of microProteins is general and that it has evolved in both the animal and the plant kingdoms.
| S-EPMC3024132 | biostudies-other