更正:代谢组学研究揭示了恩格列净对糖尿病小鼠心脏脂肪酸氧化的改变

IF 3 4区生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY

Molecular omics Pub Date : 2023-04-18 DOI:10.1039/D3MO90012F

Yingwei Zhang, Zeyu Zhang, Chundi Li, Donge Tang and Yong Dai

引用次数: 0

摘要

“代谢组学研究揭示了恩格列净对糖尿病小鼠心脏脂肪酸氧化的改变”，由张英伟等人更正，Mol. Omics, 2022, 18, 643-651, https://doi.org/10.1039/D2MO00036A。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Correction: Metabolomics study reveals the alteration of fatty acid oxidation in the hearts of diabetic mice by empagliflozin

Correction for ‘Metabolomics study reveals the alteration of fatty acid oxidation in the hearts of diabetic mice by empagliflozin’ by Yingwei Zhang et al., Mol. Omics, 2022, 18, 643–651, https://doi.org/10.1039/D2MO00036A.

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来源期刊

Molecular omics Biochemistry, Genetics and Molecular Biology-Biochemistry

CiteScore

5.40

自引率

3.40%

发文量

期刊介绍： Molecular Omics publishes high-quality research from across the -omics sciences. Topics include, but are not limited to: -omics studies to gain mechanistic insight into biological processes – for example, determining the mode of action of a drug or the basis of a particular phenotype, such as drought tolerance -omics studies for clinical applications with validation, such as finding biomarkers for diagnostics or potential new drug targets -omics studies looking at the sub-cellular make-up of cells – for example, the subcellular localisation of certain proteins or post-translational modifications or new imaging techniques -studies presenting new methods and tools to support omics studies, including new spectroscopic/chromatographic techniques, chip-based/array technologies and new classification/data analysis techniques. New methods should be proven and demonstrate an advance in the field. Molecular Omics only accepts articles of high importance and interest that provide significant new insight into important chemical or biological problems. This could be fundamental research that significantly increases understanding or research that demonstrates clear functional benefits. Papers reporting new results that could be routinely predicted, do not show a significant improvement over known research, or are of interest only to the specialist in the area are not suitable for publication in Molecular Omics.