Sökning: id:"swepub:oai:DiVA.org:kth-307167" >
Systems Biology App...
Systems Biology Approaches to Decipher the Underlying Molecular Mechanisms of Glioblastoma Multiforme
-
- Kaynar, Ali (författare)
- Kings Coll London, Ctr Host Microbiome Interact, Fac Dent Oral & Craniofacial Sci, London SE1 9RT, England.
-
- Altay, Özlem (författare)
- KTH,Science for Life Laboratory, SciLifeLab
-
- Li, Xiangyu (författare)
- KTH,Science for Life Laboratory, SciLifeLab
-
visa fler...
-
- Zhang, Cheng (författare)
- KTH,Science for Life Laboratory, SciLifeLab
-
- Turkez, Hasan (författare)
- Ataturk Univ, Med Biol Dept, Fac Med, TR-25240 Erzurum, Turkey.
-
- Uhlén, Mathias (författare)
- KTH,Science for Life Laboratory, SciLifeLab
-
- Shoaie, Saeed (författare)
- KTH,Science for Life Laboratory, SciLifeLab,Kings Coll London, Ctr Host Microbiome Interact, Fac Dent Oral & Craniofacial Sci, London SE1 9RT, England.;Royal Inst Technol KTH, Sci Life Lab, SE-10691 Stockholm, Sweden.
-
- Mardinoglu, Adil (författare)
- KTH,Science for Life Laboratory, SciLifeLab,Kings Coll London, Ctr Host Microbiome Interact, Fac Dent Oral & Craniofacial Sci, London SE1 9RT, England.;Royal Inst Technol KTH, Sci Life Lab, SE-10691 Stockholm, Sweden.
-
visa färre...
-
Kings Coll London, Ctr Host Microbiome Interact, Fac Dent Oral & Craniofacial Sci, London SE1 9RT, England Science for Life Laboratory, SciLifeLab (creator_code:org_t)
- 2021-12-08
- 2021
- Engelska.
-
Ingår i: International Journal of Molecular Sciences. - : MDPI AG. - 1661-6596 .- 1422-0067. ; 22:24, s. 13213-
- Relaterad länk:
-
https://doi.org/10.3...
-
visa fler...
-
https://www.mdpi.com...
-
https://urn.kb.se/re...
-
https://doi.org/10.3...
-
visa färre...
Abstract
Ämnesord
Stäng
- Glioblastoma multiforme (GBM) is one of the most malignant central nervous system tumors, showing a poor prognosis and low survival rate. Therefore, deciphering the underlying molecular mechanisms involved in the progression of the GBM and identifying the key driver genes responsible for the disease progression is crucial for discovering potential diagnostic markers and therapeutic targets. In this context, access to various biological data, development of new methodologies, and generation of biological networks for the integration of multi-omics data are necessary for gaining insights into the appearance and progression of GBM. Systems biology approaches have become indispensable in analyzing heterogeneous high-throughput omics data, extracting essential information, and generating new hypotheses from biomedical data. This review provides current knowledge regarding GBM and discusses the multi-omics data and recent systems analysis in GBM to identify key biological functions and genes. This knowledge can be used to develop efficient diagnostic and treatment strategies and can also be used to achieve personalized medicine for GBM.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Nyckelord
- glioblastoma
- genome-scale metabolic models
- multi-omics data
- systems biology
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas