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Drug Target Insights

Synopsis: An open access, peer reviewed electronic journal that covers drug treatment targets.


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About this journal

ISSN: 1177-3928



Aims and scope:

Drug Target Insights covers current developments in all areas of the field of clinical therapeutics. The journal has two specific areas of focus:

  • On molecular drug targets, including disease-specific proteins, receptors, enzymes, and genes.
  • The journal seeks to elucidate the impact of new therapeutic agents on patient acceptability, preference, satisfaction and quality of life.

Drug Target Insights seeks to be the most up-to-date journal for those who need to be informed of the latest and most important developments in the field. The journal seeks to be the most reliable and up-to-date journal in this field by offering rapid and credible pre-production submission processing to authors. By publishing in open-access format, authors are able to communicate with the widest possible group of readers.

Editorial standards and procedures:

Submissions, excluding editorials, letters to the editor and dedications, will be peer reviewed by two reviewers.  Reviewers are required to provide fair, balanced and constructive reports.  

Under our Fairness in Peer Review Policy authors may appeal against reviewers' recommendations which are ill-founded, unobjective or unfair.  Appeals are considered by the Editor in Chief or Associate Editor.

Papers are not sent to peer reviewers following submission of a revised manuscript. Editorial decisions on re-submitted papers are based on the author's response to the initial peer review report.

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This journal has been awarded a SPARC Europe Seal. The Seal is an initiative of SPARC Europe (Scholarly Publishing and Academic Resources Coalition) and the Directory of Open Access Journals (DOAJ) which is awarded to journals applying a Creative Commons CC-BY copyright license and that make journal metadata accessible to DOAJ.  

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As of April 7 2008, the US NIH Public Access Policy requires that all peer reviewed articles resulting from research carried out with NIH funding be deposited in the Pubmed Central archive.

If you are an NIH employee or grantee Libertas Academica will ensure that you comply with the policy by depositing your paper at Pubmed Central on your behalf. 



 
 
 


Use of Proteomics Analysis for Molecular Precision Approaches in Cancer Therapy

Authors: Yuqiao Shen, Neil N. Senzer and John J. Nemunaitis
Publication Date: 23 Apr 2008
Drug Target Insights 2008:3 55-66

Yuqiao Shen1, Neil N. Senzer1,2 and John J. Nemunaitis2

1LEAD Therapeutics, Inc., San Bruno, CA. 2Mary Crowley Cancer Research Centers, Dallas, TX.

Abstract

The rapidly expanding data sets derived from genomic and transcriptomic analyses have allowed greater understanding of structural and functional network patterns within the genome resulting in a realignment of thinking within a systems biologic framework of cancer. However, insofar as spatially and temporally dynamic differential gene expression at the protein level is the mediate effector of cellular behavior and, in view of extensive post translational modification (PTM), the need for sensitive, quantitative, and high throughput proteomic analytic techniques has emerged. To circumvent the problems of tissue sample heterogeneity, laser capture microdissection (LCM) allows for the acquisition of homogeneous cell populations. Using different fl uorescent dyes to label protein samples prior to gel electrophoresis, 2-D DIGE (two- dimensional differential in-gel electrophoresis) can, with reasonable sensitivity, process three protein samples on the same gel allowing for intragel relative quantification. MudPIT (multidimensional protein identification technology) is a non-gel approach exploiting the unique physical properties of charge and hydrophobicity which allows the separation of peptide mixtures as well as direct MS (mass spectrometry) and database searching. The introduction of iTRAQ (isobaric tags for relative and absolute quantification) achieves labeling of all peptides by employing an 8-plex set of amine reactive tags to derivatize peptides at the N-terminus and lysine side chains allowing for absolute quantification and assessment of PTM. These and other new laboratory technologies, along with improved bioinformatics tools, have started to make signifi cant contributions in cancer diagnostics and treatments.

Categories: Cancer , Oncology , Proteomics


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