مقاله انگلیسی رایگان در مورد برنامه های متابولومویك برای مطالعه متابولیسم سرطان – الزویر ۲۰۱۸

elsevier

 

مشخصات مقاله
ترجمه عنوان مقاله برنامه های متابولومویك برای مطالعه متابولیسم سرطان
عنوان انگلیسی مقاله Applications of metabolomics to study cancer metabolism
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۴۸ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله مقاله مروری (review article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF) ۸٫۲۲۰ در سال ۲۰۱۷
شاخص H_index ۱۲۴ در سال ۲۰۱۸
شاخص SJR ۳٫۸۵۹ در سال ۲۰۱۸
رشته های مرتبط زیست شناسی، پزشکی
گرایش های مرتبط علوم سلولی و مولکولی، خون و آنکولوژی
نوع ارائه مقاله ژورنال
مجله / کنفرانس بیوشیمی و بیوفیزیک Acta – بررسی سرطان – Biochimica et Biophysica Acta (BBA) – Reviews on Cancer
دانشگاه University of Texas Southwestern Medical Center – United States
کلمات کلیدی متابولومیکس؛ متابولیسم سرطان؛ زیرگونه های متابولیکی؛ زیست شناسی سیستم ها؛ ایزوتوپ ردیاب؛ تصویربرداری متابولیت
کلمات کلیدی انگلیسی Metabolomics; Cancer Metabolism; Metabolic Subtypes; Systems Biology; Isotope Tracing; and Metabolite Imaging
شناسه دیجیتال – doi
https://doi.org/10.1016/j.bbcan.2018.04.009
کد محصول E9683
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
Abbreviations
Keywords
۱ Introduction
۲ Metabolomics: an informative platform to study cancer metabolism
۳ Metabolic disturbances associated with genomic alterations in metabolic enzymes
۴ Metabolomics identifies subtype-selective therapeutic liabilities in cancer
۵ Systems biology to integrate metabolomics with genomics, transcriptomics, and proteomics
۶ Advanced applications of metabolomics
۷ Future perspective
Transparency document
Acknowledgements
References

بخشی از متن مقاله:
Abstract

Reprogrammed metabolism supports tumor growth and provides a potential source of therapeutic targets and disease biomarkers. Mass spectrometry-based metabolomics has emerged as a broadly informative technique for profiling metabolic features associated with specific oncogenotypes, disease progression, therapeutic liabilities and other clinically relevant aspects of tumor biology. In this review, we introduce the applications of metabolomics to study deregulated metabolism and metabolic vulnerabilities in cancer. We provide examples of studies that used metabolomics to discover novel metabolic regulatory mechanisms, including processes that link metabolic alterations with gene expression, protein function, and other aspects of systems biology. Finally, we discuss emerging applications of metabolomics for in vivo isotope tracing and metabolite imaging, both of which hold promise to advance our understanding of the role of metabolic reprogramming in cancer.

Introduction

Metabolism supports various aspects of normal cell biology, including breakdown of fuels such as carbohydrates, fats, and amino acids to generate energy and biosynthetic precursors for growth[1]. These fundamental features of cellular metabolism are reprogrammed in cancer cells to support their pathological levels of growth and proliferation. Metabolic reprogramming in malignant cells is likely the result of the multifactorial effects of genomic alterations (i.e. mutations of oncogenes and tumor suppressors), the tumor microenvironment (which imposes metabolic stress caused by compromised nutrients and oxygen availability), and other influences[1-3]. We need to understand the complete breadth of metabolic abnormalities in cancer because some metabolic changes provide opportunities to develop novel therapeutic targets and predictive biomarkers. Generations of studies reaching back to the 1920s have analyzed metabolic alterations in cancer, with enhanced glucose utilization being the most frequently and broadly observed. The clinical relevance of metabolic reprogramming in tumors is supported by routine use of the glucose analog fluorodeoxyglucose as a radiolabeled tracer for positron emission tomography-based imaging (FDG-PET)[4]. As newer technologies have become available to characterize tumor metabolism more broadly and specifically than ever before, many other examples of potentially clinicallyactionable metabolic perturbations have become apparent, indicating that the propensity for enhanced glucose uptake is merely the tip of the iceberg[5]. Understanding cancer metabolism requires systematic application of analytical techniques to assess metabolite levels in biological samples from healthy and diseased tissues. Metabolomics has emerged as the most powerful platform to recognize metabolic anomalies in urine, serum or tissue samples[6, 7]. In general, metabolomics techniques provide semi-quantitative or quantitative information about the steady-state abundance of intermediates from many metabolic pathways simultaneously, providing the user with an overview of the metabolic network and its perturbation in disease[8, 9]. This review discusses metabolomics methods and presents examples where metabolomics has been used to uncover new concepts in cancer biology or to identify novel targets for diagnostic imaging and therapy.

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