Literature DB >> 24878811

The value of new high-throughput technologies for diagnosis and prognosis in solid tumors.

Rosamaria Pinto1, Simona De Summa1, Daniela Petriella1, Oana Tudoran2, Katia Danza1, Stefania Tommasi1.   

Abstract

Advances in our understanding of the molecular basis of tumors, as well as in the technology of DNA analysis, are rapidly changing the landscape of these diseases. Traditional approaches such as sequencing methods and arrays have too many limits. These have been overcome by the advent of next generation sequencing (NGS) methods which facilitate and accelerate the analysis of multiple genes and samples. These technologies allow new applications in molecular biology and medicine, for example precise analysis of RNA transcripts for gene expression; profiling of small RNAs, DNA methylation patterns and histone modification analysis; identification of splicing isoforms and of DNA regions that interact with regulatory proteins; pharmacogenomics studies and so on. In this review we describe recent applications of NGS in genomics, transcriptomics and epigenomics for a better comprehension of solid tumor metabolisms.

Entities:  

Keywords:  Next generation sequencing; genomics; transcriptomics and epigenomics

Mesh:

Substances:

Year:  2014        PMID: 24878811     DOI: 10.3233/CBM-130328

Source DB:  PubMed          Journal:  Cancer Biomark        ISSN: 1574-0153            Impact factor:   4.388


  7 in total

1.  Formalin-fixed paraffin-embedded sample conditions for deep next generation sequencing.

Authors:  Masayuki Nagahashi; Yoshifumi Shimada; Hiroshi Ichikawa; Satoru Nakagawa; Nobuaki Sato; Koji Kaneko; Keiichi Homma; Takashi Kawasaki; Keisuke Kodama; Stephen Lyle; Kazuaki Takabe; Toshifumi Wakai
Journal:  J Surg Res       Date:  2017-07-27       Impact factor: 2.192

2.  Transcriptomics and machine learning predict diagnosis and severity of growth hormone deficiency.

Authors:  Philip G Murray; Adam Stevens; Chiara De Leonibus; Ekaterina Koledova; Pierre Chatelain; Peter E Clayton
Journal:  JCI Insight       Date:  2018-04-05

Review 3.  Pancreatic cancer stem cell markers and exosomes - the incentive push.

Authors:  Sarah Heiler; Zhe Wang; Margot Zöller
Journal:  World J Gastroenterol       Date:  2016-07-14       Impact factor: 5.742

Review 4.  Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential.

Authors:  Claudia Cava; Gloria Bertoli; Isabella Castiglioni
Journal:  BMC Syst Biol       Date:  2015-09-21

5.  In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate Cancer.

Authors:  Claudia Cava; Gloria Bertoli; Antonio Colaprico; Gianluca Bontempi; Giancarlo Mauri; Isabella Castiglioni
Journal:  Int J Mol Sci       Date:  2018-03-19       Impact factor: 5.923

Review 6.  Janus-Faced Myeloid-Derived Suppressor Cell Exosomes for the Good and the Bad in Cancer and Autoimmune Disease.

Authors:  Margot Zöller
Journal:  Front Immunol       Date:  2018-02-02       Impact factor: 7.561

Review 7.  Regulatory Role of Immune Cell-Derived Extracellular Vesicles in Cancer: The Message Is in the Envelope.

Authors:  Chi Li; Howard Donninger; John Eaton; Kavitha Yaddanapudi
Journal:  Front Immunol       Date:  2020-07-16       Impact factor: 7.561

  7 in total

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