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An important role for triglyceride in regulating spermatogenesis

eLife, 2024-05, Vol.12

2024

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Rufinamide (RUF) suppresses inflammation and maintains the integrity of the blood–brain barrier during kainic acid-induced brain damage

Open life sciences, 2021-08, Vol.16 (1), p.845-855

2021

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Global-Scale Metabolomic Profiling of Human Hair for Simultaneous Monitoring of Endogenous Metabolome, Short- and Long-Term Exposome

Frontiers in chemistry, 2021-05, Vol.9

2021

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MAFFIN: metabolomics sample normalization using maximal density fold change with high-quality metabolic features and corrected signal intensities

Bioinformatics (Oxford, England), 2022-06, Vol.38 (13), p.3429-3437

2022

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Patterned Signal Ratio Biases in Mass Spectrometry-Based Quantitative Metabolomics

Analytical chemistry (Washington), 2021-02, Vol.93 (4), p.2254-2262

2021

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Comprehensive assessment of the diminished statistical power caused by nonlinear electrospray ionization responses in mass spectrometry-based metabolomics

Analytica chimica acta, 2022-04, Vol.1200, p.339614-339614, Article 339614

2022

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Capture of endogenous lipids in peptidiscs and effect on protein stability and activity

iScience, 2024-04, Vol.27 (4), p.109382-109382, Article 109382

2024

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JPA: Joint Metabolic Feature Extraction Increases the Depth of Chemical Coverage for LC-MS-Based Metabolomics and Exposomics

Metabolites, 2022-02, Vol.12 (3), p.212

2022

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Adaptive Box–Cox Transformation: A Highly Flexible Feature-Specific Data Transformation to Improve Metabolomic Data Normality for Better Statistical Analysis

Analytical chemistry (Washington), 2022-06, Vol.94 (23), p.8267-8276

2022

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Computational Variation: An Underinvestigated Quantitative Variability Caused by Automated Data Processing in Untargeted Metabolomics

Analytical chemistry (Washington), 2021-06, Vol.93 (25), p.8719-8728

2021

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ISFrag: De Novo Recognition of In-Source Fragments for Liquid Chromatography–Mass Spectrometry Data

Analytical chemistry (Washington), 2021-07, Vol.93 (29), p.10243-10250

2021

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Addressing big data challenges in mass spectrometry-based metabolomics

Chemical communications (Cambridge, England), 2022-09, Vol.58 (72), p.9979-999

2022

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De Novo Cleaning of Chimeric MS/MS Spectra for LC-MS/MS-Based Metabolomics

Analytical chemistry (Washington), 2023-09, Vol.95 (35), p.13018-13028

2023

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Quantitative challenges and their bioinformatic solutions in mass spectrometry-based metabolomics

TrAC, Trends in analytical chemistry (Regular ed.), 2023-04, Vol.161, p.117009, Article 117009

2023

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Proteolytic fragments of laminin promote excitotoxic neurodegeneration by up-regulation of the KA1 subunit of the kainate receptor

The Journal of cell biology, 2008-12, Vol.183 (7), p.1299-1313

2008

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Feasibility of continuous extracorporeal normothermic liver perfusion using autologous blood: a study in pigs

Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2014-02, Vol.34 (2), p.223

2014

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Fold-Change Compression: An Unexplored But Correctable Quantitative Bias Caused by Nonlinear Electrospray Ionization Responses in Untargeted Metabolomics

Analytical chemistry (Washington), 2020-05, Vol.92 (10), p.7011-7019

2020

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EVA: Evaluation of Metabolic Feature Fidelity Using a Deep Learning Model Trained With Over 25000 Extracted Ion Chromatograms

Analytical chemistry (Washington), 2021-09, Vol.93 (36), p.12181-12186

2021

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Parallel metabolomics and lipidomics enables the comprehensive study of mouse brain regional metabolite and lipid patterns

Analytica chimica acta, 2020-11, Vol.1136, p.168-177

2020

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Role of KA1 receptor in excitotoxic neurodegeneration in mouse hippocampus triggered by kainic acid- or tunicamycin-induced endoplasmic reticulum stress

Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2015-02, Vol.35 (2), p.191

2015

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Recognizing Contamination Fragment Ions in Liquid Chromatography–Tandem Mass Spectrometry Data

Journal of the American Society for Mass Spectrometry, 2021-09, Vol.32 (9), p.2296-2305

2021

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Self-Assembly of Metallacages into Multidimensional Suprastructures with Tunable Emissions

Journal of the American Chemical Society, 2018-10, Vol.140 (40), p.12819-12828

2018

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Reducing Quantitative Uncertainty Caused by Data Processing in Untargeted Metabolomics

Analytical chemistry (Washington), 2024-03, Vol.96 (9), p.3727-3732

2024

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A pillar[5]arene based gel from a low-molecular-weight gelator for sustained dye release in water

Dalton transactions : an international journal of inorganic chemistry, 2017, Vol.46 (48), p.16802-16806

2017

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An important role for triglyceride in regulating spermatogenesis

eLife, 2024-05, Vol.12

2024

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An important role for triglyceride in regulating spermatogenesis

Rufinamide (RUF) suppresses inflammation and maintains the integrity of the blood–brain barrier during kainic acid-induced brain damage

Global-Scale Metabolomic Profiling of Human Hair for Simultaneous Monitoring of Endogenous Metabolome, Short- and Long-Term Exposome

MAFFIN: metabolomics sample normalization using maximal density fold change with high-quality metabolic features and corrected signal intensities

Patterned Signal Ratio Biases in Mass Spectrometry-Based Quantitative Metabolomics

Comprehensive assessment of the diminished statistical power caused by nonlinear electrospray ionization responses in mass spectrometry-based metabolomics

Capture of endogenous lipids in peptidiscs and effect on protein stability and activity

JPA: Joint Metabolic Feature Extraction Increases the Depth of Chemical Coverage for LC-MS-Based Metabolomics and Exposomics

Adaptive Box–Cox Transformation: A Highly Flexible Feature-Specific Data Transformation to Improve Metabolomic Data Normality for Better Statistical Analysis

Computational Variation: An Underinvestigated Quantitative Variability Caused by Automated Data Processing in Untargeted Metabolomics

ISFrag: De Novo Recognition of In-Source Fragments for Liquid Chromatography–Mass Spectrometry Data

Addressing big data challenges in mass spectrometry-based metabolomics

De Novo Cleaning of Chimeric MS/MS Spectra for LC-MS/MS-Based Metabolomics

Quantitative challenges and their bioinformatic solutions in mass spectrometry-based metabolomics

Proteolytic fragments of laminin promote excitotoxic neurodegeneration by up-regulation of the KA1 subunit of the kainate receptor

Feasibility of continuous extracorporeal normothermic liver perfusion using autologous blood: a study in pigs

Fold-Change Compression: An Unexplored But Correctable Quantitative Bias Caused by Nonlinear Electrospray Ionization Responses in Untargeted Metabolomics

EVA: Evaluation of Metabolic Feature Fidelity Using a Deep Learning Model Trained With Over 25000 Extracted Ion Chromatograms

Parallel metabolomics and lipidomics enables the comprehensive study of mouse brain regional metabolite and lipid patterns

Role of KA1 receptor in excitotoxic neurodegeneration in mouse hippocampus triggered by kainic acid- or tunicamycin-induced endoplasmic reticulum stress

Recognizing Contamination Fragment Ions in Liquid Chromatography–Tandem Mass Spectrometry Data

Self-Assembly of Metallacages into Multidimensional Suprastructures with Tunable Emissions

Reducing Quantitative Uncertainty Caused by Data Processing in Untargeted Metabolomics

A pillar[5]arene based gel from a low-molecular-weight gelator for sustained dye release in water

An important role for triglyceride in regulating spermatogenesis

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