Microprotein knockout in rescue cell lines and control conditions
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE232375 | GEO | 2023/10/09
REPOSITORIES: GEO
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Project description:Pattern recognition receptors (PRRs)-mediated innate immune responses are critical for host defense against microbial pathogens including RNA/DNA viruses. A growing number of coding genes and genes originally defined as non-coding RNAs (ncRNAs) are found to encode short peptides or proteins, named microproteins. However, the landscape of microproteins in responsive to virus infection and the functions of these microproteins remain uncharacterized. Here, we systematically identified microproteins, both from coding and non-coding genes, that are responsive to Vesicular Stomatitis Virus (VSV) infection. Among which, a highly conserved, endoplasmic reticulum (ER) membrane-localized microprotein, , MAVI1 (microprotein in antiviral immunity 1), was found to interact with mitochondrial localized MAVS protein, inhibiting the aggregation of MAVS and the activation of downstream type I interferon (IFN) signaling pathway. The critical role of MAVI1 was highlighted that viral infection was significantly attenuated and survival rate was significantly increased in Mavi1 knockout mice in vivo. A peptide inhibitor targeting the interaction between MAVI1 and MAVS is potent in activating the type I IFN signaling and defending viral infection both in vitro and in vivo. Our findings uncovered that microproteins could play critical roles in regulating antiviral innate immune responses via cross-organelle interaction, and targeting microproteins might represent a potential therapeutic avenue for treating viral infection in clinic.
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Project description:MicroProteins are short, single domain proteins that act by sequestering larger, multidomain proteins into non-functional complexes. MicroProteins have been identified in plants and animals, where they are mostly involved in the regulation of developmental processes. Here we show that two Arabidopsis thaliana microProteins, miP1a and miP1b, physically interact with CONSTANS (CO) a potent regulator of flowering time. The miP1a/b-type microProteins evolved in dicotyledonous plants and have an additional carboxy-terminal PF(V/L)FL motif. This motif enables miP1a/b microProteins to interact with TOPLESS/TOPLESS-RELATED (TPL/TPR) proteins. Interaction of CO with miP1a/b/TPL causes late flowering due to a failure in the induction of FLOWERING LOCUS T (FT) expression under inductive long day conditions. Both miP1a and miP1b are expressed in vascular tissue, where CO and FT are active. Genetically, miP1a/b act upstream of CO thus our findings unravel a novel layer of flowering time regulation via microProtein-inhibition. RNA-Seq transcriptome analysis of four biological samples were analysed with two technical replicates. Columbia wildtype plants Col-0, constans mutant plants co-SAIL, and two transgenic lines overexpressing a microProtein (miP1a and miP1b) were sequenced.
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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.
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Project description:MicroProteins are short, single domain proteins that act by sequestering larger, multidomain proteins into non-functional complexes. MicroProteins have been identified in plants and animals, where they are mostly involved in the regulation of developmental processes. Here we show that two Arabidopsis thaliana microProteins, miP1a and miP1b, physically interact with CONSTANS (CO) a potent regulator of flowering time. The miP1a/b-type microProteins evolved in dicotyledonous plants and have an additional carboxy-terminal PF(V/L)FL motif. This motif enables miP1a/b microProteins to interact with TOPLESS/TOPLESS-RELATED (TPL/TPR) proteins. Interaction of CO with miP1a/b/TPL causes late flowering due to a failure in the induction of FLOWERING LOCUS T (FT) expression under inductive long day conditions. Both miP1a and miP1b are expressed in vascular tissue, where CO and FT are active. Genetically, miP1a/b act upstream of CO thus our findings unravel a novel layer of flowering time regulation via microProtein-inhibition.
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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.
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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.
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