Journal ArticleDOI
The pyruvate-lactate axis modulates cardiac hypertrophy and heart failure.
Ahmad A. Cluntun,Rachit Badolia,Sandra Lettlova,K. Mark Parnell,Thirupura S. Shankar,Nikolaos A. Diakos,Kristofor A. Olson,Iosif Taleb,Sean M. Tatum,Jordan A. Berg,Corey N. Cunningham,Tyler Van Ry,Alex J. Bott,Aspasia Thodou Krokidi,Sarah Fogarty,Sophia Skedros,Wojciech I. Swiatek,Xuejing Yu,Bai Luo,Shannon Merx,Sutip Navankasattusas,James E. Cox,Gregory S. Ducker,William L. Holland,Stephen H. McKellar,Stephen H. McKellar,Jared Rutter,Stavros G. Drakos,Stavros G. Drakos +28 more
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TLDR
It is found that alteration of the pyruvate-lactate axis is a fundamental and early feature of cardiac hypertrophy and failure.About:
This article is published in Cell Metabolism.The article was published on 2021-03-02. It has received 101 citations till now. The article focuses on the topics: Muscle hypertrophy & Monocarboxylate transporter 4.read more
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Journal ArticleDOI
Cardiac Energy Metabolism in Heart Failure
TL;DR: In this paper, the effects of metabolic changes that occur in heart failure are complex and are dependent not only on the severity and type of heart failure present but also on the co-existence of common comorbidities such as obesity and type 2 diabetes.
Journal ArticleDOI
PPAR control of metabolism and cardiovascular functions
TL;DR: Peroxisome proliferator-activated receptor-α (PPARα), PPARδ and PPARγ are transcription factors that regulate gene expression following ligand activation as discussed by the authors.
Journal ArticleDOI
'Warburg effect' controls tumor growth, bacterial, viral infections and immunity - Genetic deconstruction and therapeutic perspectives.
TL;DR: In this paper , the Warburg effect via CRISPR-Cas9 disruption of glucose-6-phosphate isomerase (GPI-KO) or lactate dehydrogenases (LDHA/B-DKO) is revisited.
Journal ArticleDOI
Fueling Cell Invasion through Extracellular Matrix.
Aastha Garde,David R. Sherwood +1 more
TL;DR: In this article, the authors provide an overview of the challenges of examining ATP generation and delivery within invading cells and how recent studies using diverse invasion models, experimental approaches, and energy biosensors are revealing that energy metabolism is an integral component of cell invasive behavior that is dynamically tuned to overcome the extracellular matrix environment.
Journal ArticleDOI
Monocarboxylate transporter antagonism reveals metabolic vulnerabilities of viral-driven lymphomas.
Emmanuela N Bonglack,Joshua E. Messinger,Jana M. Cable,James Ch’ng,K. Mark Parnell,Nicolás M Reinoso-Vizcaíno,Ashley P. Barry,Veronica S. Russell,Sandeep S. Dave,Heather R. Christofk,Micah A. Luftig +10 more
TL;DR: In this article, the role of MCTs has been studied in EBV-associated malignancies, which display Warburg-like metabolism in vitro, and they showed that EBV infection of B lymphocytes directly promotes temporal induction of monocarboxylate transporters through the viral proteins EBNA2 and LMP1, respectively.
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Yoav Benjamini,Yosef Hochberg +1 more
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Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +15 more
TL;DR: Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems, focusing on bringing machine learning to non-specialists using a general-purpose high-level language.
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
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STAR: ultrafast universal RNA-seq aligner
Alexander Dobin,Carrie A. Davis,Felix Schlesinger,Jorg Drenkow,Chris Zaleski,Sonali Jha,Philippe Batut,Mark Chaisson,Thomas R. Gingeras +8 more
TL;DR: The Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure outperforms other aligners by a factor of >50 in mapping speed.
Posted Content
Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Andreas Müller,Joel Nothman,Gilles Louppe,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +18 more
TL;DR: Scikit-learn as mentioned in this paper is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.
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