Egyszerű nézet

dc.contributor.author Menyhart, Otilia
dc.contributor.author Harami-Papp H
dc.contributor.author Sukumar S
dc.contributor.author Schäfer R
dc.contributor.author Magnani L
dc.contributor.author de Barrios O
dc.contributor.author Győrffy, Balázs
dc.date.accessioned 2017-06-12T11:26:33Z
dc.date.available 2017-06-12T11:26:33Z
dc.date.issued 2016
dc.identifier 84992410680
dc.identifier.citation pagination=300-319; journalVolume=1866; journalIssueNumber=2; journalTitle=BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/4280
dc.identifier.uri doi:10.1016/j.bbcan.2016.10.002
dc.description.abstract The hallmarks of cancer capture the most essential phenotypic characteristics of malignant transformation and progression. Although numerous factors involved in this multi-step process are still unknown to date, an ever-increasing number of mutated/altered candidate genes are being identified within large-scale cancer genomic projects. Therefore, investigators need to be aware of available and appropriate techniques capable of determining characteristic features of each hallmark. We review the methods tailored to experimental cancer researchers to evaluate cell proliferation, programmed cell death, replicative immortality, induction of angiogenesis, invasion and metastasis, genome instability, and reprogramming of energy metabolism. Selecting the ideal method is based on the investigator's goals, available equipment and also on financial constraints. Multiplexing strategies enable a more in-depth data collection from a single experiment — obtaining several results from a single procedure reduces variability and saves time and relative cost, leading to more robust conclusions compared to a single end point measurement. Each hallmark possesses characteristics that can be analyzed by immunoblot, RT-PCR, immunocytochemistry, immunoprecipitation, RNA microarray or RNA-seq. In general, flow cytometry, fluorescence microscopy, and multiwell readers are extremely versatile tools and, with proper sample preparation, allow the detection of a vast number of hallmark features. Finally, we also provide a list of hallmark-specific genes to be measured in transcriptome-level studies. Although our list is not exhaustive, we provide a snapshot of the most widely used methods, with an emphasis on methods enabling the simultaneous evaluation of multiple hallmark features. © 2016 The Authors
dc.relation.ispartof urn:issn:0304-419X
dc.title Guidelines for the selection of functional assays to evaluate the hallmarks of cancer
dc.type Journal Article
dc.date.updated 2017-04-05T13:26:26Z
dc.language.rfc3066 en
dc.identifier.mtmt 3173281
dc.identifier.wos WOS:000390623900014
dc.contributor.department SE/AOK/K/II. Sz. Gyermekgyógyászati Klinika
dc.contributor.institution Semmelweis Egyetem
dc.mtmt.swordnote N1 Funding details: K108655, OTKA, Országos Tudományos Kutatási Alapprogramok


Kapcsolódó fájlok:

A fájl jelenleg csak egyetemi IP címről érhető el.

Megtekintés/Megnyitás

Ez a rekord az alábbi gyűjteményekben szerepel:

Egyszerű nézet