Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Global Transcriptome Characterization and Assembly of thermophilic ascomycete Chaetomium thermophilum

ABSTRACT: A correct genome annotation is fundamental for research in the field of molecular and structural biology. The annotation of the reference genome of Chaetomium thermophilum has been reported previously, but it is limited to open reading frames (ORFs) of genes and contains only a few noncoding transcripts. In this study, we identified and annotated by deep RNA sequencing full-length transcripts of C.thermophilum. We identified 7044 coding genes and a large number of noncoding genes (n=4567). Astonishingly, 23% of the coding genes are alternatively spliced. We identified 679 novel coding genes and corrected the structural organization of more than 50% of the previously annotated genes. Furthermore, we substantially extended the Gene Ontology (GO) and Enzyme Commission (EC) lists, which provide comprehensive search tools for potential industrial applications and basic research. The identified novel transcripts and improved annotation will help understanding the gene regulatory landscape in C.thermophilum. The analysis pipeline developed here can be used to build transcriptome assemblies and identify coding and noncoding RNAs of other species. The new genome annotation of the GTF file can be found here.

ORGANISM(S): Thermochaetoides thermophila

PROVIDER: GSE116834 | GEO | 2019/12/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Identification and characterization of sugar regulated promoters in Chaetomium thermophilum

Project description:The thermophilic fungus Chaetomium thermophilum has been successfully used in the past for biochemical and high resolution structural studies of protein complexes, but subsequent functional analysis of these assemblies were hindered due to the lack of genetic tools in this thermophile, which are typically amenable in several other mesophilic eukaryotic model organisms, in particular the yeast Saccharomycers cerevisiae. Hence, we aimed to develop a regulatable gene-expression system in C. thermophilum, which might facilitate such in vivo studies, based on what we know about the galactose-inducible GAL promoter in yeast. To identify sugar-regulatable promoters in C. thermophilum, we performed comparative xylose- versus glucose-dependent gene expression studies, which uncovered a number of enzymes induced by xylose but repressed by glucose. Subsequently, we cloned the promoters of the two most stringently regulated genes, the xylosidase-like gene (XYL) and xylitol dehydrogenase (XDH), obtained from this genome-wide analysis in front of the thermostable YFP (yellow fluorescent protein) reporter. In this way, we could demonstrate xylose-dependent YFP expression by either western blotting or life cell imaging fluorescence microscopy. Prompted by these results, we finally expressed a well-characterized dominant-negative ribosome assembly factor mutant, rsa4 E117>D, under the control of the XDH promoter, which allowed us to induce a nuclear export defect of the pre-60S subunit when C. thermophilum cells were grown in xylose but not glucose containing medium. Altogether, our study recognized xylose-regulatable promoters in Chaetomium thermophilum, which may foster functional studies of genes of interest in this thermophilic eukaryotic model organism.

2022-09-26 | GSE214043 | GEO

Tiling path analysis of yeast

Project description:There is abundant transcription from eukaryotic genomes unaccounted for by protein coding genes. A high-resolution genome-wide survey of transcription in a well annotated genome will help relate transcriptional complexity to function. By quantifying RNA expression on both strands of the complete genome of Saccharomyces cerevisiae using a high-density oligonucleotide tiling array, this study identifies the boundary, structure, and level of coding and noncoding transcripts. A total of 85% of the genome is expressed in rich media. Apart from expected transcripts, we found operon-like transcripts, transcripts from neighboring genes not separated by intergenic regions, and genes with complex transcriptional architecture where different parts of the same gene are expressed at different levels. We mapped the positions of 3' and 5' UTRs of coding genes and identified hundreds of RNA transcripts distinct from annotated genes. These nonannotated transcripts, on average, have lower sequence conservation and lower rates of deletion phenotype than protein coding genes. Many other transcripts overlap known genes in antisense orientation, and for these pairs global correlations were discovered: UTR lengths correlated with gene function, localization, and requirements for regulation; antisense transcripts overlapped 3' UTRs more than 5' UTRs; UTRs with overlapping antisense tended to be longer; and the presence of antisense associated with gene function. These findings may suggest a regulatory role of antisense transcription in S. cerevisiae. Moreover, the data show that even this well studied genome has transcriptional complexity far beyond current annotation.

2006-03-10 | E-TABM-14 | biostudies-arrayexpress

Architecture and structural dynamics of the AROM complex

Project description:Cross-linking/mass spectrometry was used to study inter-domain interactions in the multifunctional AROM complex from Chaetomium thermophilum.

2019-10-02 | PXD010479 | Pride

CTHT4 plasmid insertion

Project description:Chaetomium thermophilum plasmid insertion analysis

| PRJEB46383 | ENA

Reducing the structure bias of RNA-Seq reveals a large number of non-annotated non-coding RNA

Project description:The study of RNA expression is the fastest growing area of genomic research. However, despite the dramatic increase in the number of sequenced transcriptomes, we still do not have accurate estimates of the number and expression levels of non-coding RNA genes. Non-coding transcripts are often overlooked due to incomplete genome annotation. In this study, we use annotation-independent detection of RNA reads generated using a reverse transcriptase with low structure bias to identify non-coding RNA. Transcripts between 20 and 500 nucleotides were filtered and crosschecked with non-coding RNA annotations revealing 115 non-annotated non-coding RNAs expressed in different cell lines and tissues. Inspecting the sequence and structural features of these transcripts indicated that 60% of these transcripts correspond to new tRNA and snoRNA genes. The identified genes exhibited features of their respective families in terms of structure, expression, conservation and response to depletion of interacting proteins. Together, our data reveal a new group of RNA that are difficult to detect using standard gene prediction and RNA sequencing techniques, suggesting that reliance on actual gene annotation and sequencing techniques distort the perceived architecture of the human transcriptome.

2019-02-21 | GSE126797 | GEO

Thermochaetoides thermophila DSM 1495

Project description:Chaetomium thermophilum var. thermophilum DSM 1495 genome sequencing project

| PRJNA47065 | ENA

Genome-wide identification of Drought-responsive Regulatory Coding and Non-coding Transcripts from Oryza sativa L. by deep RNA sequencing

Project description:Abiotic environmental stresses cause serious economic losses in agriculture. These stresses include temperature extremes, high salinity and drought. To isolate drought-responsive novel coding and noncoding genes, we used the next generation sequencing method from three rice cultivars (wild type nipponbare, nipponbare AP2 transgenic plants, wild type vandana). 36 NGS data of mRNA-seq, small RNA-seq, riboZero-seq were analyzed. For the analyses of these data we constructed a TF-TG (Transcription Factor-Target Gene) network and an ap2 rooted cascading tree. Using these networks and tress we isolated lincRNAs, differentially expressed miRNAs and their targets. We identified several drought stress-related novel/function unknown coding transcripts (transcription factors and functional genes) and non-coding transcripts (small noncoding transcripts such as microRNA and long noncoding transcripts) from these database analyses and have constructed databases of drought stress-related coding and noncoding transcripts Identification of drought-responsive Regulatory Coding and Non-coding Transcripts from rice by deep RNA sequencing

2016-09-06 | E-GEOD-74465 | biostudies-arrayexpress

Proteogenomics Pipeline For Pineapple

Project description:Here we have undertaken a pilot study analysing the proteome of MD2 pineapple using Liquid Chromatography coupled with Mass Spectrometry (LC-MS/MS) and identified 3,818 peptides from 1,781 candidate proteins in the annotated V3 genome sequenced. In addition, a further 603 peptide identifications were found that mapped exclusively to an independent MD2 transcriptome-derived database and were not found in the standard V3 annotated proteome. Peptide identifications derived from the MD2 transcripts were also cross-referenced to a more recent and complete MD2 genome annotation, resulting in 402 non overlapping peptides with either of the genomes. Subsequently, cross-referencing these peptide identifications via their parent transcripts, 30 high-quality gene candidates novel to the V3 pineapple genomes were identified. These analyses add to the knowledge of experimentally validated pineapple genes and demonstrate the utility of transcript-derived proteomics to discover both novel genes and genetic structure in plant genome, and can help improve its annotation.

2024-05-24 | PXD045998 | Pride

Genome-wide identification of Drought-responsive Regulatory Coding and Non-coding Transcripts from Oryza sativa L. by deep RNA sequencing

2016-09-06 | GSE74465 | GEO

Capturing protein communities by structural proteomics in a thermophilic eukaryote

Project description:The arrangement of proteins into complexes is a key organizational principle for many cellular functions. Although the topology of many complexes has been systematically analyzed in isolation, their molecular sociology in situ remains elusive. Here, we show that crude cellular extracts of a eukaryotic thermophile, Chaetomium thermophilum, retain basic principles of cellular organization. Using a structural proteomics approach, we simultaneously characterized the abundance, interactions and structure of a third of the C. thermophilum proteome within these extracts. We identified 27 distinct protein communities that include 108 interconnected complexes, which dynamically associate with each other and functionally benefit from being in close proximity in the cell.

2017-08-07 | PXD006660 | Pride

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