LGG combiSOM data portrayal quick start guide
Version 1

Download View content

This markdown document demonstrates how to generate key data portrayal analyses and visualizations from a workspace created by the combiSOM package. The triple-omics SOM portrayal approach presented here combines patient-matched gene expression, DNA-methylation and copy number variation (CNV) of 121 lower grade glioma (LGG) specimen.

LHA ID: 8CUN846AQK-8

Filename: multiSOM-guide.html  Download

Format: HTML document

Size: 1.19 MB

Help
help Creators and Submitter
Creator
Submitter
License
Creative Commons Attribution 4.0
Activity

Views: 2264   Downloads: 92

Created: 13th May 2022 at 07:17

Last used: 20th Dec 2024 at 19:53

help Tags

This item has not yet been tagged.

help Attributions

None

Version History

Version 1 Created 13th May 2022 at 07:17 by Henry Löffler-Wirth

No revision comments

Related items

GGN - German Glioma Network

During 2004 and 2012 the german cancer aid supported the german glioma network (GGN). The GGN is a consortium where university hospitals with clinical focus in neuro-oncology, reference centers for neuroradiology, neuropathology, molecular diagnostics and biometry cooperate. Thanks to the long-term support it was possible to build a network of competence centers for the treatment of brain tumors in Germany wich is characterized by a interdisciplinary collaboration of all specialist disciplines ...

Programme: Glioma

Public web page: http://www.gliomnetzwerk.de/

Start date: 1st Jan 2004

Multi-omics cartography of glioma heterogeneity
GGN - German Glioma Network

Abstract (Expand)

Molecular mechanisms of lower grade (II- III) diffuse gliomas (LGG) are still poorly understood, mainly because of their heterogeneity. They split into astrocytoma- (IDH-A) and oligodendro-glioma-like … (IDH-O) tumors both carrying mutations(s) at the Isocitrate dehydrogenase (IDH) gene and into IDH wild type (IDH-wt) gliomas of glioblastoma-resemblance. We generated de-tailed maps of the transcriptomes and DNA-methylomes revealing that cell functions divide into three major archeotypic hallmarks: (i) increased proliferation in IDH-wt and, to a less degree, IDH-O, (ii) increased inflammation in IDH-A and IDH-wt, and (iii) the loss of synaptic transmis-sion in all subtypes. Immunogenic properties of IDH-A are diverse partly resembling signatures observed in grade IV mesenchymal glioblastomas or in grade I pilocytic astrocytomas. We ana-lyzed details of coregulation between gene expression and DNA-methylation and of the immu-nogenic micro-environment presumably driving tumor development and treatment resistance. Our transcriptome and methylome maps support personalized, case-by-case views to decipher the heterogeneity of glioma states in terms of data portraits. Thereby molecular cartography provides a graphical coordinate system, which links gene-level information with glioma sub-types, their phenotypes and clinical context.

Authors: Hans Binder, Maria Schmidt, Lydia Hopp, Arsen Arakelyan, Henry Löffler-Wirth

Date Published: No date defined

Publication Type: Journal article

Human Diseases: brain glioma

Glioma
No description specified

Projects: GGN - German Glioma Network

Web page: Not specified

Navigate

Health Atlas - Local Data Hub/Leipzig

The Health Atlas - Local Data Hub/Leipzig is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

Registered Repository

re3data.org Badge
Powered by
 (v.1.13.0-master)
Health Atlas | Funding and Programmes | Credits | Terms & Conditions | Privacy Policy | Imprint
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies