Evidence for Widespread Presence of Hidden yet Functional Novel and Non-canonical Human Transcripts
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA908994 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR22540920_1.fastq.gz | Fastqsanger.gz | |||
| SRR22540920_2.fastq.gz | Fastqsanger.gz | |||
| SRR22540921_1.fastq.gz | Fastqsanger.gz | |||
| SRR22540921_2.fastq.gz | Fastqsanger.gz | |||
| SRR22540922_1.fastq.gz | Fastqsanger.gz |
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Project description:Fraction of functional sequence in human genome remains a key unresolved question in Biology and the subject of vigorous debate. While a plethora of studies have connected a significant fraction of human DNA to various biochemical processes, like transcription, the classical definition of function requires evidence of effects on cellular or organismal fitness that such studies do not provide. Although multiple high-throughput reverse-genetics screens have been developed to address this issue, they are limited to annotated genomic elements and suffer from non-specific effects, arguing for a strong need to develop additional functional genomics approaches. In this work, we established a high-throughput lentivirus-based insertional mutagenesis strategy as a forward genetics screen tool in aneuploid cells. Application of this approach to human cell lines in multiple phenotypic screens suggested the presence of many uncharacterized functional elements in the human genome, represented at least in part by novel exons of known and novel genes. The novel transcripts containing these exons can be massively, up to thousands-fold, induced by specific stresses, and at least some can represent bi-cistronic protein-coding mRNAs. Altogether, these results argue that many unannotated human transcripts, including those that appear as aberrant splice products, have biological relevance under specific biological conditions.
2023-10-24 | GSE220164 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE41241: Transcriptome-wide miR-155 binding map reveals widespread non-canonical microRNA targeting [mRNA expression data] GSE41285: Transcriptome-wide miR-155 binding map reveals widespread non-canonical microRNA targeting [CLIP-seq data] Refer to individual Series
2012-11-09 | E-GEOD-41288 | biostudies-arrayexpress
Project description:BackgroundFraction of functional sequence in the human genome remains a key unresolved question in Biology and the subject of vigorous debate. While a plethora of studies have connected a significant fraction of human DNA to various biochemical processes, the classical definition of function requires evidence of effects on cellular or organismal fitness that such studies do not provide. Although multiple high-throughput reverse genetics screens have been developed to address this issue, they are limited to annotated genomic elements and suffer from non-specific effects, arguing for a strong need to develop additional functional genomics approaches.ResultsIn this work, we established a high-throughput lentivirus-based insertional mutagenesis strategy as a forward genetics screen tool in aneuploid cells. Application of this approach to human cell lines in multiple phenotypic screens suggested the presence of many yet uncharacterized functional elements in the human genome, represented at least in part by novel exons of known and novel genes. The novel transcripts containing these exons can be massively, up to thousands-fold, induced by specific stresses, and at least some can represent bi-cistronic protein-coding mRNAs.ConclusionsAltogether, these results argue that many unannotated and non-canonical human transcripts, including those that appear as aberrant splice products, have biological relevance under specific biological conditions.
| S-EPMC10675921 | biostudies-literature
Project description:microRNAs (miRNAs) are essential components of gene regulation, but identification of miRNA targets remains a major challenge. Most target prediction and discovery relies on perfect complementarity of the miRNA seed to the 3’ untranslated region (UTR). However, it is unclear to what extent miRNAs target sites without seed matches. Here, we performed a transcriptome-wide identification of the endogenous targets of a single miRNA—miR-155—in a genetically controlled manner. We found that approximately forty percent of miR-155-dependent Argonaute binding occurs at sites without perfect seed matches. The majority of these non-canonical sites feature extensive complementarity to the miRNA seed with one mismatch. These non-canonical sites confer regulation of gene expression albeit less potently than canonical sites. Thus, non-canonical miRNA binding sites are widespread, often contain seed-like motifs, and can regulate gene expression, generating a continuum of targeting and regulation. We used microarrays to measure changes in gene expression between activated wild type (WT) and miR-155 deficient (155KO) primary CD4 T cells. CD4 T cells were harvested from WT and miR-155 KO mice (Thai et al., 2007) and activated for 3 days in vitro. Each array is from a separate biological replicate, which are cells originating from a separate mouse.
2012-11-09 | E-GEOD-41241 | biostudies-arrayexpress
Project description:microRNAs (miRNAs) are essential components of gene regulation, but identification of miRNA targets remains a major challenge. Most target prediction and discovery relies on perfect complementarity of the miRNA seed to the 3’ untranslated region (UTR). However, it is unclear to what extent miRNAs target sites without seed matches. Here, we performed a transcriptome-wide identification of the endogenous targets of a single miRNA—miR-155—in a genetically controlled manner. We found that approximately forty percent of miR-155-dependent Argonaute binding occurs at sites without perfect seed matches. The majority of these non-canonical sites feature extensive complementarity to the miRNA seed with one mismatch. These non-canonical sites confer regulation of gene expression albeit less potently than canonical sites. Thus, non-canonical miRNA binding sites are widespread, often contain seed-like motifs, and can regulate gene expression, generating a continuum of targeting and regulation. Argonaute (AGO) HITS-CLIP Libraries generated from wild type and miR-155 knockout activated T cells. AGO HITS-CLIP libraries were generated from activated wild type and miR-155 knockout T cells with two different 3' linkers. Libraries were generated and sequenced with an 11nt index read that contained both a 5nt multiplexing index and a 6nt degenerate barcode. Files have been demultiplexed and the 6nt degenerate barcode has been appended as the first 6 nucleotides of the read.
2012-11-09 | E-GEOD-41285 | biostudies-arrayexpress
Project description:microRNAs (miRNAs) are essential components of gene regulation, but identification of miRNA targets remains a major challenge. Most target prediction and discovery relies on perfect complementarity of the miRNA seed to the 3’ untranslated region (UTR). However, it is unclear to what extent miRNAs target sites without seed matches. Here, we performed a transcriptome-wide identification of the endogenous targets of a single miRNA—miR-155—in a genetically controlled manner. We found that approximately forty percent of miR-155-dependent Argonaute binding occurs at sites without perfect seed matches. The majority of these non-canonical sites feature extensive complementarity to the miRNA seed with one mismatch. These non-canonical sites confer regulation of gene expression albeit less potently than canonical sites. Thus, non-canonical miRNA binding sites are widespread, often contain seed-like motifs, and can regulate gene expression, generating a continuum of targeting and regulation. Argonaute (AGO) HITS-CLIP Libraries generated from wild type and miR-155 knockout activated T cells.
2012-11-09 | GSE41285 | GEO
Project description:microRNAs (miRNAs) are essential components of gene regulation, but identification of miRNA targets remains a major challenge. Most target prediction and discovery relies on perfect complementarity of the miRNA seed to the 3’ untranslated region (UTR). However, it is unclear to what extent miRNAs target sites without seed matches. Here, we performed a transcriptome-wide identification of the endogenous targets of a single miRNA—miR-155—in a genetically controlled manner. We found that approximately forty percent of miR-155-dependent Argonaute binding occurs at sites without perfect seed matches. The majority of these non-canonical sites feature extensive complementarity to the miRNA seed with one mismatch. These non-canonical sites confer regulation of gene expression albeit less potently than canonical sites. Thus, non-canonical miRNA binding sites are widespread, often contain seed-like motifs, and can regulate gene expression, generating a continuum of targeting and regulation. We used microarrays to measure changes in gene expression between activated wild type (WT) and miR-155 deficient (155KO) primary CD4 T cells.
2012-11-09 | GSE41241 | GEO
Project description:Motivation: Identification of eQTL, the genetic loci that contribute to heritable variation in gene expression, can be obstructed by factors that produce variation in expression profiles if these factors are unmeasured or hidden from direct analysis. Methods: We have developed a method for Hidden Expression Factor analysis (HEFT) that identifies individual and pleiotropic effects of eQTL in the presence of hidden factors. The HEFT model simultaneously accounts for the effects of genotypes while learning hidden factors, where we make use of the complete likelihood of a unified multivariate regression and factor analysis model to derive a ridge estimator for combined factor learning and detection of eQTL. HEFT requires no pre-estimation of hidden factor effects, no iterative model selection, it provides p-values, and is extremely fast, requiring just a few hours to complete an eQTL analysis of thousands of expression variables when analyzing hundreds of thousands of SNPs on a standard 8 core 2.6G desktop. Results: By analyzing simulated data, we demonstrate that HEFT can correct for an unknown number of hidden factors and outperforms related hidden factor methods for eQTL analysis, where the improved performance is particularly evident in the detection of eQTL with multivariate effects. To demonstrate a real-world application, we applied HEFT to identify eQTL affecting gene expression in human lung tissue for a study that included presumptive hidden factors. The analysis identified a number of eQTL with direct relevance to lung disease that could not be found without a hidden factor analysis, including cis-eQTL for GTF2H1 and MTRR, genes that have been independently associated with lung cancer. We have developed HEFT, a fast multivariate method that detect eQTLs by analyzing thousands of traits simultaneously in the presence of hidden factors. HEFT employs a combined regression factor analysis approach to analyze the gene expression and genotype data sets, looking for univariate or multivariate eQTLs that regulate gene expression, while simultaneously controlling for both orthogonal or non-orthogonal hidden factors. We show by extensive simulation that HEFT outperforms competing methods, and by applying HEFT to a study that included presumptive hidden factors, we identified a number of eQTL with direct relevance to lung disease that could not be found without a hidden factor analysis. HEFT analysis results file (includes all results, not just top hits) linked below as supplementary file.
2014-01-07 | E-GEOD-40364 | biostudies-arrayexpress
Project description:It has been a long debate whether the 98% “non-coding” fraction of human genome can encode functional proteins besides a “random noise” of translation. We used our established translatome sequencing (RNC-seq) to analyze human cells and found that up to 3330 long non-coding RNAs (lncRNAs) were bound to ribosomes and thus might be translated into proteins (with more than 50 amino acids). These new protein-coding genes distributed universally in all human chromosomes. We then used various experimental methods including mass spectrometry, immunoblotting, subcellular localization and phenotype assessments to verify the existence of such a hidden human proteome encoded by purported lncRNAs that can express functional proteins. These new proteins deviate from the canonical proteins in various physical and chemical properties, and emerged mostly in primates during evolution. In sum, we experimentally evidenced a hidden human functional proteome encoded by purported lncRNAs, suggesting that the human genome has to be systematically re-annotated.
2022-02-25 | PXD005291 | Pride
Project description:It has been a long debate whether the 98% “non-coding” fraction of human genome can encode functional proteins besides a “random noise” of translation. We used our established translatome sequencing (RNC-seq) to analyze human cells and found that up to 3330 long non-coding RNAs (lncRNAs) were bound to ribosomes and thus might be translated into proteins (with more than 50 amino acids). These new protein-coding genes distributed universally in all human chromosomes. We then used various experimental methods including mass spectrometry, immunoblotting, subcellular localization and phenotype assessments to verify the existence of such a hidden human proteome encoded by purported lncRNAs that can express functional proteins. These new proteins deviate from the canonical proteins in various physical and chemical properties, and emerged mostly in primates during evolution. In sum, we experimentally evidenced a hidden human functional proteome encoded by purported lncRNAs, suggesting that the human genome has to be systematically re-annotated.
2019-08-29 | PXD044056 |