Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Long-read RNA Sequencing of Human Meningiomas

ABSTRACT: We report long-read Iso-Seq data of 84 meningiomas, which are used to differentiate patients with several metadata characteristics.

ORGANISM(S): Homo sapiens

PROVIDER: GSE300855 | GEO | 2025/06/25

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Long-read RNA Sequencing of Human Meningiomas

Project description:Long-read RNA Sequencing of Human Meningiomas

| PRJNA1282209 | ENA

Pacbio long read Iso-sequencing is performed to acquire a high-precision transcription landscape after STAMBPL1 knockingdown in Huh7 cells（Long-read）

Project description:STAMBPL1 plays a previously unappreciated role in post-transcriptional regulation, especially in RNA splicing pathways. Thus, PacBio long-read iso-sequencing was performed to acquire a high-precision transcription landscape after STAMBPL1 knockingdown in Huh7 cells

2024-09-11 | GSE276508 | GEO

DNA Methylation Signatures Differentiate Meningiomas from Normal Dura

Project description:DNA Methylation Signatures Differentiate Meningiomas from Normal Dura

| PRJNA737450 | ENA

Reference Long-Read Transcriptomes of Human Peripheral Blood Lymphocytes (PacBio Iso-Seq, Matched to Illumina RNA-Seq Data)

Project description:Long-read sequencing technologies such as Iso-Seq (PacBio Inc.) generate highly accurate sequences of full-length mRNA transcript isoforms. Long-read transcriptomics may be especially useful in the context of lymphocyte functional plasticity as it relates to human health and disease. However, no long-read isoform-aware reference transcriptomes of human circulating lymphocytes seem to be publicly available despite being valuable as benchmarks in a variety of transcriptomic studies. To begin to fill this gap, we purified four lymphocyte subsets (CD4 T, CD8 T, NK, and Pan B cells) from the peripheral blood of a healthy male donor and obtained high-quality RNA (RIN>8) for PacBio Iso-Seq analysis and parallel RNA-Seq analysis.

2022-09-16 | GSE202327 | GEO

"Immunogenic subtype" characterised by macrophages infiltration predominantly comprise meningiomas in neurofibromatosis type 2 patients

Project description:Aims: Whereas recent molecular analysis has revealed that sporadic meningioma has various genetic, epigenetic, and transcriptomic profiles, those of meningioma in NF2 patients are not fully elucidated. This study probed meningiomas' clinical, histological, and molecular characteristics in NF2 patients. Methods: A long-term retrospective follow-up (13.5 ± 5.5 years) study involving 159 meningiomas in NF2 patients was performed. We assessed their characteristics by performing immunohistochemistry (IHC), bulk-RNA sequencing, and copy number analysis. All variables of meningiomas in NF2 patients were compared with those of 189 sporadic NF2-altered meningiomas. Results: Most meningiomas in NF2 patients were stable, and the mean annual growth rate was 1.0 ± 1.8 cm3/yr. Twenty-eight meningiomas (17.6%) in 25 patients (43.1%) were resected during the follow-up period. WHO grade 1 meningiomas in NF2 patients` were more frequent than in sporadic NF2-altered meningiomas (92.9% vs 80.9%). Transcriptomic analysis for NF2 patients`/sporadic NF2-altered WHO grade 1 meningiomas (n = 14 versus 15, respectively) showed that tumours in NF2 patients had still higher immune response and immune cell infiltration than sporadic NF2-altered meningiomas. Furthermore, RNA-seq/IHC-derived immunophenotyping corroborated this higher immune response by identifying myeloid cell infiltration, especially macrophages. Conclusions: Clinical, histological, and transcriptomic analyses for meningiomas in NF2 patients demonstrated that meningiomas in NF2 patients showed less aggressive behaviour than sporadic NF2-altered meningiomas and elicited marked immune response by identifying myeloid cell infiltration, especially macrophages.

2023-08-08 | GSE232528 | GEO

DNA Methylation Signatures Differentiate Meningiomas from Normal Dura [OmniSNP]

Project description:DNA Methylation Signatures Differentiate Meningiomas from Normal Dura [OmniSNP]

| PRJNA737456 | ENA

DNA Methylation Signatures Differentiate Meningiomas from Normal Dura [HumanMethylation450]

Project description:DNA Methylation Signatures Differentiate Meningiomas from Normal Dura [HumanMethylation450]

| PRJNA737457 | ENA

Long-read RNA-seq(Iso-seq) analysis of HBV-KMT2B integrated HPCs in which HBV genome is integrated into KMT2B region.

Project description:We identified full-length complementary DNA by long-read RNA-seq (Iso-seq) in HBV-KMT2B integrated HCC sample. To compare the data of HCC sapmle with HBV-KMT2B integrated HPCs, which reproduces the sequence of the HCC sample, we performed long-read RNA-seq in HBV-KMT2B integrated HPCs, as well.

2025-01-01 | GSE244522 | GEO

Long-read sequencing disentangles isoform complexity at allele-specific loci

Project description:In recent years, long-read sequencing technologies have detected transcript isoforms with unprecedented accuracy and resolution. However, it remains unclear whether long-read sequencing can effectively disentangle the isoform landscape of complex allele-specific loci that arise from genetic or epigenetic differences between alleles. Here, we combine the PacBio Iso-Seq workflow with the established phasing approach WhatsHap to assign long reads to the corresponding allele in polymorphic F1 mouse hybrids. Upon comparing the long-read sequencing results with matched short reads, we observed general consistency in the allele-specific information and were able to confirm the imprinting status of known imprinted genes. We then explored the complex imprinted Gnas locus known for allele-specific non-coding and coding isoforms and were able to benchmark historical observations. This approach also allowed us to detect isoforms from both the active and inactive X chromosomes of genes that escape X chromosome inactivation. The described workflow offers a promising framework and demonstrates the power of long-read transcriptomic data to provide mechanistic insight into complex allele-specific loci.

2025-02-03 | GSE246857 | GEO

Genomic landscape of meningiomas

Project description:This SuperSeries is composed of the following subset Series: GSE16581: Genomic landscape of meningiomas: gene expression GSE16583: Genomic landscape of meningiomas: genotyping Refer to individual Series

2010-12-01 | E-GEOD-16584 | biostudies-arrayexpress

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