guest ::
| Home > Publications database > High-Resolution Cartography of the Transcriptome and Methylome Landscapes of Diffuse Gliomas. > print |
| Home > Publications database > High-Resolution Cartography of the Transcriptome and Methylome Landscapes of Diffuse Gliomas. > print |
| 001 | 177734 | ||
| 005 | 20240229133749.0 | ||
| 024 | 7 | _ | |a 10.3390/cancers13133198 |2 doi |
| 024 | 7 | _ | |a pmid:34206856 |2 pmid |
| 024 | 7 | _ | |a pmc:PMC8268631 |2 pmc |
| 024 | 7 | _ | |a altmetric:108267606 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2021-02775 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Willscher, Edith |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a High-Resolution Cartography of the Transcriptome and Methylome Landscapes of Diffuse Gliomas. |
| 260 | _ | _ | |a Basel |c 2021 |b MDPI |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1638953834_30746 |2 PUB:(DE-HGF) |x Letter |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a 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 oligodendroglioma-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 detailed maps of the transcriptomes and DNA methylomes, revealing that cell functions divided into three major archetypic hallmarks: (i) increased proliferation in IDH-wt and, to a lesser degree, IDH-O; (ii) increased inflammation in IDH-A and IDH-wt; and (iii) the loss of synaptic transmission 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 analyzed details of coregulation between gene expression and DNA methylation and of the immunogenic 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 that links gene-level information with glioma subtypes, their phenotypes, and clinical context. |
| 536 | _ | _ | |a 312 - Funktionelle und strukturelle Genomforschung (POF4-312) |0 G:(DE-HGF)POF4-312 |c POF4-312 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de |
| 650 | _ | 7 | |a DNA methylation |2 Other |
| 650 | _ | 7 | |a gene expression |2 Other |
| 650 | _ | 7 | |a grade II–IV gliomas |2 Other |
| 650 | _ | 7 | |a integrative bioinformatics |2 Other |
| 650 | _ | 7 | |a molecular subtypes |2 Other |
| 650 | _ | 7 | |a self-organizing maps machine learning |2 Other |
| 650 | _ | 7 | |a tumor evolution |2 Other |
| 650 | _ | 7 | |a tumor heterogeneity |2 Other |
| 700 | 1 | _ | |a Hopp, Lydia |b 1 |
| 700 | 1 | _ | |a Kreuz, Markus |b 2 |
| 700 | 1 | _ | |a Schmidt, Maria |0 0000-0002-5317-3920 |b 3 |
| 700 | 1 | _ | |a Hakobyan, Siras |b 4 |
| 700 | 1 | _ | |a Arakelyan, Arsen |0 0000-0002-6851-1056 |b 5 |
| 700 | 1 | _ | |a Hentschel, Bettina |b 6 |
| 700 | 1 | _ | |a Jones, David T W |0 P:(DE-He78)551bb92841f634070997aa168d818492 |b 7 |
| 700 | 1 | _ | |a Pfister, Stefan M |0 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9 |b 8 |
| 700 | 1 | _ | |a Loeffler, Markus |b 9 |
| 700 | 1 | _ | |a Loeffler-Wirth, Henry |0 P:(DE-HGF)0 |b 10 |
| 700 | 1 | _ | |a Binder, Hans |0 0000-0002-2242-4678 |b 11 |
| 773 | _ | _ | |a 10.3390/cancers13133198 |g Vol. 13, no. 13, p. 3198 - |0 PERI:(DE-600)2527080-1 |n 13 |p 3198 |t Cancers |v 13 |y 2021 |x 2072-6694 |
| 856 | 4 | _ | |u file:///C:/Users/runge/Downloads/cancers-13-03198.pdf |
| 909 | C | O | |o oai:inrepo02.dkfz.de:177734 |p VDB |
| 910 | 1 | _ | |a External Institute |0 I:(DE-HGF)0 |k Extern |b 0 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 7 |6 P:(DE-He78)551bb92841f634070997aa168d818492 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 8 |6 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9 |
| 910 | 1 | _ | |a External Institute |0 I:(DE-HGF)0 |k Extern |b 10 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a External Institute |0 I:(DE-HGF)0 |k Extern |b 11 |6 0000-0002-2242-4678 |
| 913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-312 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Funktionelle und strukturelle Genomforschung |x 0 |
| 914 | 1 | _ | |y 2021 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b CANCERS : 2019 |d 2021-05-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2021-05-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2021-05-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0320 |2 StatID |b PubMed Central |d 2021-05-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2021-05-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2021-05-04 |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Blind peer review |d 2021-05-04 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY (No Version) |0 LIC:(DE-HGF)CCBYNV |2 V:(DE-HGF) |b DOAJ |d 2021-05-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2021-05-04 |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2021-05-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2021-05-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-05-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2021-05-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2021-05-04 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-05-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2021-05-04 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b CANCERS : 2019 |d 2021-05-04 |
| 915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2021-05-04 |
| 915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2021-05-04 |
| 920 | 1 | _ | |0 I:(DE-He78)B360-20160331 |k B360 |l Pediatric Glioma |x 0 |
| 920 | 1 | _ | |0 I:(DE-He78)B062-20160331 |k B062 |l B062 Pädiatrische Neuroonkologie |x 1 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-He78)B360-20160331 |
| 980 | _ | _ | |a I:(DE-He78)B062-20160331 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|