Spatially resolved mass spectrometry at the single cell: recent innovations in proteomics and metabolomics

MJ Taylor, JK Lukowski… - Journal of the American …, 2021 - ACS Publications
Biological systems are composed of heterogeneous populations of cells that
intercommunicate to form a functional living tissue. Biological function varies greatly across …

[HTML][HTML] Single-cell metabolomics: where are we and where are we going?

I Lanekoff, VV Sharma, C Marques - Current opinion in biotechnology, 2022 - Elsevier
Single-cell metabolomics with mass spectrometry enables a large variety of metabolites to
be simultaneously detected from individual cells, without any preselection or labelling, to …

Imaging of single bacteria with electrochemiluminescence microscopy

Y Zhou, J Dong, P Zhao, J Zhang… - Journal of the …, 2023 - ACS Publications
Rapid and accurate identification of pathogens is crucial for public healthcare and patient
treatment. However, the commonly used analytic tools such as molecular diagnostics and …

Fully automated unconstrained analysis of high-resolution mass spectrometry data with machine learning

DA Boiko, KS Kozlov, JV Burykina… - Journal of the …, 2022 - ACS Publications
Mass spectrometry (MS) is a convenient, highly sensitive, and reliable method for the
analysis of complex mixtures, which is vital for materials science, life sciences fields such as …

Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data

R Houhou, T Bocklitz - Analytical Science Advances, 2021 - Wiley Online Library
Artificial intelligence‐based methods such as chemometrics, machine learning, and deep
learning are promising tools that lead to a clearer and better understanding of data. Only …

[HTML][HTML] Advanced materials for precise detection and antibiotic-free inhibition of bacteria

W Liu, R Wang, V Vedarethinam, L Huang… - Materials Today …, 2022 - Elsevier
The infection induced by harmful bacteria has become one of the leading public health
concerns worldwide, threatening social health and the economy. In addition, new and …

Early Diagnosis: End-to-End CNN–LSTM Models for Mass Spectrometry Data Classification

K Seddiki, F Precioso, M Sanabria, M Salzet… - Analytical …, 2023 - ACS Publications
Liquid chromatography–mass spectrometry (LC–MS) is a powerful method for cell profiling.
The use of LC–MS technology is a tool of choice for cancer research since it provides …

Navigating with chemometrics and machine learning in chemistry

PB Joshi - Artificial Intelligence Review, 2023 - Springer
Chemometrics and machine learning are artificial intelligence-based methods stirring a
transformative change in chemistry. Organic synthesis, drug discovery and analytical …

Mass spectrometry‐based strategies for single‐cell metabolomics

R Hu, Y Li, Y Yang, M Liu - Mass Spectrometry Reviews, 2023 - Wiley Online Library
Single cell analysis has drawn increasing interest from the research community due to its
capability to interrogate cellular heterogeneity, allowing refined tissue classification and …

Integrated pipeline of rapid isolation and analysis of human plasma exosomes for cancer discrimination based on deep learning of MALDI-TOF MS fingerprints

H Zheng, J Zhao, X Wang, S Yan, H Chu… - Analytical …, 2022 - ACS Publications
Plasma exosomes have shown great potential for liquid biopsy in clinical cancer diagnosis.
Herein, we present an integrated strategy for isolating and analyzing exosomes from human …