Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Stage Specific Non-coding RNA Expression Patterns During in vitro Human B Cell Differentiation into Antibody Secreting Plasma Cells

ABSTRACT: The differentiation of activated B cells into antibody secreting plasma cells (PCs) is governed by a strict regulatory network that results in expression of specific transcriptomes along the continuum. In vitro models resulting in PCs that are phenotypically identical to the in vivo state permit investigation of molecules, transcripts, pathways, and metabolomes not previously identified in the differentiation process. We used an in vitro system and RNA-seq to identify protein-coding and non-coding RNA (ncRNA) transcripts expressed in human resting and activated B cells, and PCs. Analysis of immunoglobulin (Ig) transcripts showed that the repertoire was not skewed, and that memory B cells preferentially expanded and differentiated into PCs. Of interest, we identified more than 980 differentially expressed ncRNA transcripts displaying stage-specific patterns of increased or decreased expression across differentiation some of which are known to target transcription, proliferation, cytoskeletal, autophagy and proteasome pathways. Interestingly, ncRNAs located within Ig loci may be targeting both Ig and non-Ig related transcripts. ncRNAs associated with B cell malignancies were also identified in this model. Taken together, this system provides a platform to study the detailed role of specific ncRNAs in B cell differentiation and altered expression of those ncRNAs involved in B cell malignancies.

ORGANISM(S): Homo sapiens

PROVIDER: GSE194123 | GEO | 2022/01/24

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Functional and transcriptional profiling of non-coding RNAs in yeast reveal context-dependent phenotypes and in trans effects on the protein regulatory network

Project description:Non-coding RNAs (ncRNAs), including the more recently identified Stable Unannotated Transcripts (SUTs) and Cryptic Unstable Transcripts (CUTs), are increasingly being shown to play pivotal roles in the transcriptional and post-transcriptional regulation of genes in eukaryotes. Here, we carried out a large-scale screening of ncRNAs in Saccharomyces cerevisiae, and provide evidence for SUT and CUT function. Phenotypic data on 372 ncRNA deletion strains in 23 different growth conditions were collected, identifying ncRNAs responsible for significant cellular fitness changes. Transcriptome profiles were assembled for 18 haploid ncRNA deletion mutants and 2 essential ncRNA heterozygous deletants. Guided by the resulting RNA-seq data we analysed the genome-wide dysregulation of protein coding genes and non-coding transcripts.

2021-01-19 | E-MTAB-9956 | biostudies-arrayexpress

Transcriptome of hepatocellular carcinoma using CAGE

Project description:An increasing number of non-coding RNAs (ncRNAs) are implicated in various human diseases including cancer; however ncRNA transcriptome of hepatocellular carcinoma (HCC) remains largely unexplored. We use CAGE (Cap Analysis of Gene Expression) to comprehensively map transcription start sites (TSSs) across different etiologies of human HCC as well as mouse HCC, with particular emphasis on ncRNAs distant from protein-coding genes. We find thousands of significantly up-regulated distal ncRNAs in HCC tumors compared to their matched non-tumors, which are as many as protein-coding genes. Moreover, we identify many LTR retroviral promoters activated in HCC tissues and expressed in a subfamily-specific manner, which account for approximately 20% of the up-regulated distal ncRNAs. The transcripts derived from LTRs, determined by 3' RACE, are multi-exon nuclear ncRNAs typically 0.5-2kb in length. This study sheds light on ncRNA transcriptome of human and mouse HCC. Expression profiles using CAGE for 37 mouse HCC. The human data are archived at dbGaP (phs000885.v1.p1). An umbrella BioProject has been created to associate the GEO and dbGaP BioProjects: PRJNA278792

2015-09-10 | E-GEOD-60982 | biostudies-arrayexpress

Transcriptome of hepatocellular carcinoma using CAGE

2015-09-10 | GSE60982 | GEO

Differentiation of ncRNAs from small mRNAs in Escherichia coli O157:H7 EDL933 (EHEC) by combined RNAseq and RIBOseq – ryhB encodes the regulatory RNA RyhB and a peptide, RyhP

Project description:While NGS allows rapid global detection of transcripts, it remains difficult to distinguish ncRNAs from short mRNAs. To detect potentially translated RNAs, we developed an improved protocol for bacterial ribosomal footprinting (RIBOseq). This allowed distinguishing ncRNA from mRNA in EHEC. A high ratio of ribosomal footprints per transcript (ribosomal coverage value, RCV) is expected to indicate a translated RNA, while a low RCV should point to a non-translated RNA. Based on their low RCV, 150 novel non-translated EHEC transcripts were identified as putative ncRNAs, representing both antisense and intergenic transcripts, 74 of which had expressed homologs in E. coli MG1655. Bioinformatics analysis predicted statistically significant target regulons for 15 of the intergenic transcripts; experimental analysis revealed 4-fold or higher differential expression of 46 novel ncRNA in different growth media. Out of 329 annotated EHEC ncRNAs, 52 showed an RCV similar to protein-coding genes, of those, 16 had RIBOseq patterns matching annotated genes in other enterobacteriaceae, and 11 seem to possess a Shine-Dalgarno sequence, suggesting that such ncRNAs may encode small proteins instead of being solely non-coding. To support that the RIBOseq signals are reflecting translation, we tested the ribosomal-footprint covered ORF of ryhB and found a phenotype for the encoded peptide in iron-limiting condition. Determination of the RCV is a useful approach for a rapid first-step differentiation between bacterial ncRNAs and small mRNAs. Further, many known ncRNAs may encode proteins as well.

2017-02-18 | GSE94984 | GEO

Unexpected diversity of chloroplast non-coding RNAs as revealed by deep sequencing of the Arabidopsis transcriptome

Project description:Non-coding RNAs (ncRNAs) are widely expressed in both prokaryotes and eukaryotes. Eukaryotic ncRNAs are commonly small (18-25 nt) micro- and small interfering RNAs involved in post-transcriptional gene silencing, while prokaryotic ncRNAs vary in size and are involved in various aspects of gene regulation. Given the prokaryotic origin of organelles, the presence of ncRNAs might be expected, however, the full spectrum of organellar ncRNAs has not been determined systematically. Here, strand-specific RNA-Seq analysis was used to identify 107 candidate ncRNAs from Arabidopsis thaliana chloroplasts, primarily encoded opposite protein- coding and tRNA genes. Forty-eight ncRNAs were shown to accumulate by RNA gel blot as discrete transcripts in wild-type (WT) plants and/or the pnp1-1 mutant, which lacks the chloroplast ribonuclease polynucleotide phosphorylase (cpPNPase). Ninety-eight percent of the ncRNAs detected by RNA gel blot had different transcript patterns between WT and pnp1-1, suggesting cpPNPase has a significant role in chloroplast ncRNA biogenesis and accumulation. Analysis of materials deficient for other major chloroplast ribonucleases, RNase R, RNase E and RNase J, showed differential effects on ncRNA accumulation and/or form, suggesting specificity in RNase-ncRNA interactions. 5' end mapping showed that some ncRNAs are transcribed from dedicated promoters, while others result from transcriptional read-through. Finally, correlations between accumulation of some ncRNAs and the symmetrically-transcribed sense RNA are consistent with a role in RNA stability. Overall, our data suggest that this extensive population of ncRNAs has the potential to underpin a previously underappreciated regulatory mode in the chloroplast.

2011-10-13 | E-MTAB-4478 | biostudies-arrayexpress

Custom microchip analysis identifies differentially expressed non-coding RNAs in Epstein-Barr virus-infected B cells

Project description:Upon Epstein-Barr virus (EBV) infection of human B lymphocytes non-coding RNAs (ncRNAs) regulate expression of viral and cellular genes. In this study, we generated a specialized cDNA library from EBV-immortalized cells and subjected it to deep sequencing. We identified 631 unique ncRNA genes, comprised of 321 potential novel differentially expressed ncRNA candidates. Subsequently, we investigated differential expression of known and potential novel ncRNA candidates by custom-designed microchips by comparing expression of ncRNA genes of EBV-immortalized versus non-infected control cells. Among the differentially expressed candidates from chip analysis, differential expression of six novel ncRNA candidates was verified by northern blot analysis. In addition, microchip analysis resulted in observation of increased expression levels of a significant number of potential ncRNA candidates that were preferentially derived from genomic loci annotated as Alu repetitive elements. Alu elements are members of the repeat subfamily of short interspersed nuclear elements (SINE) and were reported to be transcribed upon stress stimulation. While EBV infection significantly up-regulated expression of Alu-derived RNA transcripts, no significant increase in expression of these transcripts was observed under additional tested stress conditions. By employing deep sequencing followed by custom microchip analysis, we identified six novel differentially expressed ncRNAs as well as significantly increased expression levels of Alu-derived RNA transcripts. These transcripts might be involved in crucial functions upon infection by EBV. 5 biological replica of non-infected BL2 samples were compared to 5 biological replica of LCL 197/2 EBV immortalized samples

2010-10-30 | E-GEOD-20441 | biostudies-arrayexpress

Ameloblastoma RNA profiling uncovers a distinct non-coding RNA signature

Project description:Ameloblastoma of the jaws remains the top difficult to treat odontogenic tumour and has a high recurrence rate. New evidence suggests that non-coding RNAs (ncRNAs) play a critical role in tumour genesis and prognosis of cancer. However, ameloblastoma ncRNA expression data is lacking. Here we present the first report of ameloblastoma ncRNA signatures. A total of 95 ameloblastoma cases and a global array transcriptome technology covering > 285.000 full-length transcripts were used in this two-step analysis. The analysis first identified in a test cohort 31 upregulated ameloblastoma-associated ncRNAs accompanied by signalling pathways of cancer, spliceosome, mRNA surveillance and Wnt. Further validation in an independent cohort points out the long non-coding (lncRNAs) and small nucleolar RNA (snoRNAs): LINC340, LINC342, SNORD116-25, SNORA11, SNORA21, SNORA47 and SNORA65 as a distinct ncRNA signature of ameloblastoma. Importantly, the presence of these ncRNAs was independent of BRAF-V600E and SMO-L412F mutations, histology type or tumour location, but was positively correlated with the tumour size. Taken together, this study shows a systematic investigation of ncRNA expression of ameloblastoma, and illuminates new diagnostic and therapeutic targets for this invasive odontogenic tumour.

2017-03-01 | GSE90518 | GEO

Custom microchip analysis identifies differentially expressed non-coding RNAs in Epstein-Barr virus-infected B cells

2010-10-30 | GSE20441 | GEO

Long intronic non-coding RNA from the KLHL29 locus regulates proliferation of human tumorigenic cell lines

Project description:Many classes of noncoding RNAs (ncRNAs) are known to be involved in gene expression regulation; however, long intronic ncRNAs have received little attention. In previous works, our group has provided evidence that intronic regions, transcribed from 80% of all RefSeq gene loci, are key sources of potentially regulatory ncRNAs. Intronic transcripts were shown to be correlated to the degree of prostate cancer differentiation, regulated by physiological stimuli, and highly expressed in genomic loci related to transcriptional regulation. In the present work we aimed at functional characterization of KLHL29 intronic transcript, one of the most highly expressed in human tissues. Although the protein-coding KLHL29 transcripts are still poorly studied, genes from this family are involved in a wide variety of biological processes, including cell cycle regulation mechanisms. We have observed that the long intronic ncRNA is predominantly transcribed from the opposite strand at the KLHL29 locus, and that the ncRNA overexpression does not affect the levels of protein-coding mRNAs from the same locus. Intriguingly, we found 2,002 genes with significant (q< 5.3%) differential expression between HEK293 cells overexpressing KLHL29 sense (S) or antisense (AS) intronic transcript. Within these genes, GO categories such as ‘Regulation of cell cycle’ and ‘Transcription’ were significantly enriched. Furthermore, human tumorigenic cell lines overexpressing KLHL29 AS intronic transcript showed increased proliferation rates in vitro and increased tumorigenic capacity in nude mice. In conclusion, we suggest that KLHL29 long intronic ncRNA controls the cell cycle mechanisms, probably through a fine-tuning regulation of gene expression.

2009-07-30 | GSE14681 | GEO

Stranded RNASeq of human mammary primary tumors ER+ and paired adjacent healthy tissues

Project description:Non-coding RNAs (ncRNA) represent at least 1/5 of the mammalian transcript amount, and about 90% of the genome length is actively transcribed. Many ncRNAs have been demonstrated to play a role in cancer. Among them, natural antisense transcripts (NAT) are RNA sequences which are complementary and overlapping to those of protein-coding transcripts (PCT). NATs were punctually described as regulating gene expression, and are expected to act more frequently in cis than other ncRNAs that commonly function in trans. In this work, 22 breast cancers expressing estrogen receptors and their paired healthy tissues were analyzed by strand-specific RNA sequencing to highlight the potential role of NATs in gene regulations occurring in breast cancer.

2017-11-30 | GSE103001 | 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