Isotopically coded N-methoxy amide reagents for GC-MS profiling of carbonyl compounds via mass spectral tag generation

Sara K. Biladeau, William N. Richmond, Sébastien Laulhé and Michael H. Nantz

Anal. Methods, 2016, 8, 3704
DOI: 10.1039/C5AY02253C

Do the complementarities of electrokinetic and chromatographic procedures represent the “Swiss knife” in proteomic investigation? An overview of the literature in the past decade

Monica Di Venere, Simona Viglio, Davide Sassera, Marco Fumagalli, Anna Bardoni, Roberta Salvini, Maddalena Cagnone and Paolo Iadarola

Electrophoresis, 2017, 38, 1538
DOI: 10.1002/elps.201600504

High-throughput determination of vancomycin in human plasma by a cost-effective system of two-dimensional liquid chromatography

Yanghao Sheng and Boting Zhou

Journal of Chromatography A, 2017, 1499, 48
DOI: 10.1016/j.chroma.2017.02.061

3D-SISPROT: A simple and integrated spintip-based protein digestion and three-dimensional peptide fractionation technology for deep proteome profiling

Wendong Chen, Subash Adhikari, Lan Chen, Lin Lin, Hua Li, Shusheng Luo, Pengyuan Yang and Ruijun Tian

Journal of Chromatography A, 2017, 1498, 207
DOI: 10.1016/j.chroma.2017.01.033

Membrane Proteins and Proteomics of Cronobacter sakazakii Cells: Reliable Method for Identification and Subcellular Localization

Jiří Novotný, Barbora Svobodová, Jiří Šantrůček, Ladislav Fukal, Ludmila Karamonová and Johanna Björkroth

Appl Environ Microbiol, 2022, 88
DOI: 10.1128/aem.02508-21

3D HPLC-MS with Reversed-Phase Separation Functionality in All Three Dimensions for Large-Scale Bottom-Up Proteomics and Peptide Retention Data Collection

Vic Spicer, Peyman Ezzati, Haley Neustaeter, Ronald C. Beavis, John A. Wilkins and Oleg V. Krokhin

Anal. Chem., 2016, 88, 2847
DOI: 10.1021/acs.analchem.5b04567

Review of Three-Dimensional Liquid Chromatography Platforms for Bottom-Up Proteomics

Van-An Duong, Jong-Moon Park and Hookeun Lee

IJMS, 2020, 21, 1524
DOI: 10.3390/ijms21041524

Implementation of a multiple‐fraction concatenation strategy in an online two‐dimensional high‐/low‐pH reversed‐phase/reversed‐phase liquid chromatography platform for qualitative and quantitative shotgun proteomic analyses

Henry C.H. Law, Ricky P.W. Kong, Mengzhu Li, Samuel S.W. Szeto and Ivan K. Chu

J Mass Spectrom, 2021, 56
DOI: 10.1002/jms.4591

A multidimensional liquid chromatography–tandem mass spectrometry platform to improve protein identification in high-throughput shotgun proteomics

Anna Laura Capriotti, Chiara Cavaliere, Alberto Cavazzini, Francesco Gasparrini, Giuseppe Pierri, Susy Piovesana and Aldo Laganà

Journal of Chromatography A, 2017, 1498, 176
DOI: 10.1016/j.chroma.2017.03.032

Proteomic Profiling of Emiliania huxleyi Using a Three-Dimensional Separation Method Combined with Tandem Mass Spectrometry

Goyeun Yun, Jong-Moon Park, Van-An Duong, Jeong-Hun Mok, Jongho Jeon, Onyou Nam, Joonwon Lee, EonSeon Jin and Hookeun Lee

Molecules, 2020, 25, 3028
DOI: 10.3390/molecules25133028

Determination of Risperidone and 9-Hydroxyrisperidone in Human Serum by Heart-Cutting Isocratic Two-Dimensional Liquid Chromatography

Wei Liu, Xiaoxia Jin, Shuyong Yao and Feng Wang

Analytical Letters, 2020, 53, 2002
DOI: 10.1080/00032719.2020.1728291

Efficient Exploitation of Separation Space in Two-Dimensional Liquid Chromatography System for Comprehensive and Efficient Proteomic Analyses

Hangyeore Lee, Dong-Gi Mun, Jeong Eun So, Jingi Bae, Hokeun Kim, Christophe Masselon and Sang-Won Lee

Anal. Chem., 2016, 88, 11734
DOI: 10.1021/acs.analchem.6b03366

IALA-LNN: Deep Learning for Peptide Retention Time Prediction Based on Improved Artificial Lemming Algorithm-Optimized Liquid Neural Networks

Yu Chen, Lun Zhu and Sen Yang

J. Chem. Inf. Model., 2026, 66, 2513
DOI: 10.1021/acs.jcim.5c02548

Quantification strategies for two-dimensional liquid chromatography datasets using regions of interest and multivariate curve resolution approaches

Miriam Pérez-Cova, Stefan Platikanov, Romà Tauler and Joaquim Jaumot

Talanta, 2022, 247, 123586
DOI: 10.1016/j.talanta.2022.123586

Multidimensional Chromatography Platforms: Status and Prospects

Priyanka A Shah, Pranav S Shrivastav and Vinay Sharma

Bioanalysis, 2021, 13, 1083
DOI: 10.4155/bio-2021-0118

Fully Automated Multidimensional Reversed-Phase Liquid Chromatography with Tandem Anion/Cation Exchange Columns for Simultaneous Global Endogenous Tyrosine Nitration Detection, Integral Membrane Protein Characterization, and Quantitative Proteomics Mapping in Cerebral Infarcts

Quan Quan, Samuel S. W. Szeto, Henry C. H. Law, Zaijun Zhang, Yuqiang Wang and Ivan K. Chu

Anal. Chem., 2015, 87, 10015
DOI: 10.1021/acs.analchem.5b02619

Characterization of the Molecular Mechanisms Underlying the Chronic Phase of Stroke in a Cynomolgus Monkey Model of Induced Cerebral Ischemia

Henry C. H. Law, Samuel S. W. Szeto, Quan Quan, Yun Zhao, Zaijun Zhang, Olga Krakovska, Leong Ting Lui, Chengyou Zheng, Simon M.-Y. Lee, K. W. Michael Siu, Yuqiang Wang and Ivan K. Chu

J. Proteome Res., 2017, 16, 1150
DOI: 10.1021/acs.jproteome.6b00651

Quantitative analysis of therapeutic proteins in biological fluids: recent advancement in analytical techniques

Jae Geun Song, Kshitis Chandra Baral, Gyu-Lin Kim, Ji-Won Park, Soo-Hwa Seo, Da-Hyun Kim, Dong Hoon Jung, Nonye Linda Ifekpolugo and Hyo-Kyung Han

Drug Delivery, 2023, 30
DOI: 10.1080/10717544.2023.2183816

Systematic evaluation and optimization of high‐performance liquid chromatography separation of polyoxins

Zhidong Li, Qing Fu, Shiliang Li, Yu Jin and Xinmiao Liang

J of Separation Science, 2020, 43, 3006
DOI: 10.1002/jssc.202000269