Molecular pathway activation features linked with transition from normal skin to primary and metastatic melanomas in human-Reference-Cited by-同舟云学术

Molecular pathway activation features linked with transition from normal skin to primary and metastatic melanomas in human

Published:2015-11-26 Issue:1 Volume:7 Page:656-670
ISSN:1949-2553
Container-title:Oncotarget
language:en
Short-container-title:Oncotarget

Author:

Shepelin Denis¹²,Korzinkin Mikhail¹³,Vanyushina Anna⁴,Aliper Alexander⁴,Borisov Nicolas³⁵,Vasilov Raif⁵,Zhukov Nikolay³⁶,Sokov Dmitry⁷,Prassolov Vladimir⁸,Gaifullin Nurshat⁹,Zhavoronkov Alex¹⁰,Bhullar Bhupinder¹¹,Buzdin Anton¹⁴⁵

Affiliation:

1. Pathway Pharmaceuticals, Wan Chai, Hong Kong, Hong Kong SAR

2. Group for Genomic Analysis of Cell Signaling Systems, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia

3. First Oncology Research and Advisory Center, Moscow, Russia

4. Laboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia

5. National Research Centre “Kurchatov Institute”, Centre for Convergence of Nano-, Bio-, Information and Cognitive Sciences and Technologies, Moscow, Russia

6. Pirogov Russian National Research Medical University, Department of Oncology, Hematology and Radiotherapy, Moscow, Russia

7. Moscow 1st Oncological Hospital, Moscow Russia

8. Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Mosow, Russia

9. Moscow State University, Faculty of Fundamental Medicine, Moscow, Russia

10. Insilico Medicine, Inc, ETC, Johns Hopkins University, Baltimore, MD, USA

11. Novartis Institute for Biomedical Research, Basel, Switzerland

Publisher

Impact Journals, LLC

Subject

Oncology

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Genomic and proteomic findings in early melanoma and opportunities for early diagnosis;Experimental Dermatology;2022-11-28

2. Integration of lncRNAs, Protein-Coding Genes and Pathology Images for Detecting Metastatic Melanoma;Genes;2022-10-21

3. Novel method for rapid identification of Listeria monocytogenes based on metabolomics and deep learning;Food Control;2022-09

4. Bioinformatic and Machine Learning Applications in Melanoma Risk Assessment and Prognosis: A Literature Review;Genes;2021-10-30

5. Enzymes in the Cholesterol Synthesis Pathway: Interactomics in the Cancer Context;Biomedicines;2021-07-26