Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Hybrid sequencing characterizes expression and function of mouse pseudogenes

ABSTRACT: Pseudogenes are defined as regions of the genome that resemble functional genes but contain disabling mutations and lack regulatory elements needed for transcription or translation. They are excellent markers for genome evolution and are emerging as crucial regulators of the development and disease, especially cancer. However, systematic functional characterization and evolution of pseudogene remain largely unexplored. In particular, the contribution of pseudogene to organ development is still unknown. Meanwhile, studies of pseudogene transcription, which is the first step for generating functional RNA, is precluded by the limited capacity of short-read sequencing. To address these issues, we systematically inferred the origin time and characterized the evolution pattern of pseudogenes. We leveraged PacBio full-length sequencing in combination with deep Illumina data as well as public developmental time-course RNA-seq, we dramatically expanded the analyzed samples and profiled genome-wide pseudogene expression paradigm. Additionally, we prioritized functional pseudogenes at multiple regulatory layers and determined their implications in disease and cancer biology.

ORGANISM(S): Mus musculus

PROVIDER: GSE176018 | GEO | 2022/02/18

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Long-read cDNA sequencing identifies functional pseudogenes in the human transcriptome

Project description:Pseudogenes are gene copies presumed to mainly be functionless relics of evolution due to acquired deleterious mutations or transcriptional silencing. When transcribed, pseudogenes may encode proteins or enact RNA-intrinsic regulatory mechanisms. However, the extent, characteristics and functional relevance of the human pseudogene transcriptome are unclear. Short-read sequencing platforms have limited power to resolve and accurately quantify pseudogene transcripts owing to the high sequence similarity of pseudogenes and their parent genes. Using deep full-length PacBio cDNA sequencing of normal human tissues and cancer cell lines, we identify here hundreds of novel transcribed pseudogenes. Pseudogene transcripts are expressed in tissue-specific patterns, exhibit complex splicing patterns and contribute to the coding sequences of known genes. We survey pseudogene transcripts encoding intact open reading frames (ORFs), representing potential unannotated protein-coding genes, and demonstrate their efficient translation in cultured cells. To assess the impact of noncoding pseudogenes on the cellular transcriptome, we delete the nucleus-enriched pseudogene PDCL3P4 transcript from HAP1 cells and observe hundreds of perturbed genes. This study highlights pseudogenes as a complex and dynamic component of the transcriptional landscape underpinning human biology and disease.

2021-04-26 | GSE160383 | GEO

Systematic functional interrogation of human pseudogenes

Project description:Human genome encodes >14,000 pseudogenes that are evolutionary relics and have long been considered as nonfunctional genomic elements. Emerging evidence suggests that pseudogene can exert important regulatory function. However, function of most pseudogenes remains unknown. To fill this gap, we developed an integrated computational pipeline and performed to date the first set of pseudogene-focused CRISPRi screens in human cells. Our screens identified >100 pseudogenes that are important for cell fitness, with a more cell-type specific function compared to parent genes. In addition, we discovered a cancer-testis unitary pseudogene MGAT4EP that interacts with FOXA1, a key regulator in luminal A breast cancer.

2021-08-01 | GSE155510 | GEO

Positive natural selection of N6-methyladenosine on the RNAs of processed pseudogenes

Project description:Background: Canonical Nonsense Mediated Decay (NMD) is an important splicing-dependent process for mRNA surveillance in mammals. However, processed pseudogenes are not able to trigger NMD due to their lack of introns. It is largely unknown whether they have evolved other surveillance mechanisms. Results: Here, we find that the RNAs of pseudogenes, especially processed pseudogenes, have dramatically higher m6A levels than their cognate protein-coding genes, associated with de novo m6A peaks and motifs in human cells. Furthermore, pseudogenes have rapidly accumulated m6A motifs during evolution. The m6A sites of pseudogenes are evolutionarily younger than neutral sites and their m6A levels are increasing, supporting the idea that m6A on the RNAs of pseudogenes is under positive selection. We then find that the m6A RNA modification of processed, rather than unprocessed, pseudogenes promotes cytosolic RNA degradation and attenuates interference with the RNAs of their cognate protein-coding genes. We experimentally validate the m6A RNA modification of two processed pseudogenes, DSTNP2 and NAP1L4P1, which promotes the RNA degradation of both pseudogenes and their cognate protein-coding genes DSTN and NAP1L4. In addition, the m6A of DSTNP2 regulation of DSTN is partially dependent on the miRNA miR-362-5p. Conclusions: Our discovery reveals a novel evolutionary role of m6A RNA modification in cleaning up the unnecessary processed pseudogene transcripts to attenuate their interfering with the regulatory network of proteincoding genes.

2021-05-27 | GSE172219 | GEO

Pseudogenes limit the identification of novel common transcripts generated by their parent genes

Project description:Genomic sequences with high sequence similarity, such as parent-pseudogene pairs, cause short sequencing reads to align to multiple locations, thus complicating genomic analyses. However, their impact on transcriptomic analyses, including the estimation of gene expression and transcript annotation, has been less studied. Here, we investigated the impact of pseudogenes on transcriptomic analyses.

2022-10-15 | GSE215459 | GEO

Systematic functional interrogation of human pseudogenes

Project description:Systematic functional interrogation of human pseudogenes

| PRJNA649966 | ENA

Expressed Pseudogenes in the Transcriptional Landscape of Human Cancers

Project description:<p>In this study, we describe a systematic analysis of pseudogene 'transcription' from an RNA-Seq resource of 293 samples, from 13 cancer and normal tissue types. We observed a highly prevalent, genome-wide expression of pseudogenes that could be categorized as universally expressed or lineage- and/or cancer-specific. We also explored disease subtype specificity and functions of selected expressed pseudogenes. We provide evidence that transcribed pseudogenes are a significant contributor to the transcriptional landscape of cells and are positioned to play significant roles in cellular differentiation and cancer progression. Our work provides a transcriptome resource that enables high-throughput analyses of pseudogene expression.</p>

| phs000525 | dbGaP

Hybrid sequencing characterizes expression and function of mouse pseudogenes

Project description:Hybrid sequencing characterizes expression and function of mouse pseudogenes

| PRJNA734591 | ENA

Expressed Pseudogenes in the Transcriptional Landscape of Human Cancers

| phs000525.v1.p1 | EGA

Francisella noatunensis subsp orientalis FNO12 pseudogene validation

Project description:Due to the detection of mRNA expression for several protein CDS annotated as pseudogenes in the results of the microarray experiment, a shotgun proteomic approach was applied to verify actual protein translation for each pseudogene in the genome of FNO12.

2019-05-27 | PXD012449 | Pride

A FTH1 gene:pseudogene:miRNA network regulates tumorigenesis in prostate cancer

Project description:Pseudogenes, non-coding homologs of protein-coding genes, were once considered non-functional evolutional relics. Recent studies have shown that pseudogene transcripts can regulate their parental transcripts by sequestering shared microRNAs, thus acting as competing endogenous RNAs (ceRNAs). In this study, we utilize an unbiased screen to identify the ferritin heavy chain 1 (FTH1) transcript and multiple FTH1 pseudogenes as targets of several oncogenic miRNAs in prostate cancer. We characterize the critical role of this FTH1 gene:pseudogene:microRNA network in regulating tumorigenesis in prostate cancer, and show that impairing microRNA binding and subsequent ceRNA crosstalk results in complete phenotype rescue. Our results also demonstrate that pseudogenes are able to regulate intracellular iron levels, which are crucial for multiple physiological and pathophysiological processes. In summary, we describe a novel and extensive gene:pseudogene ceRNA network comprising multiple microRNAs and multiple pseudogenes derived from a single parental gene, which regulates iron storage and tumorigenesis in prostate cancer.

2017-07-26 | GSE101837 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data