Quantitative Mass Spectrometry Imaging of Biological Systems

Unsihuay, Daisy; Sanchez, Daniela Mesa; Laskin, Julia

doi:10.1146/annurev-physchem-061020-053416

Cited by 121 publications

(99 citation statements)

References 95 publications

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“…The variation in the efficiency of ionization methods increases the complexity of quantitative proteomic analysis by MS [80]. However, emerging marking techniques such as chemical labeling and labeling with stable isotopes contribute to make MS an accurate quantitative technique [81].…”

Section: Mass Spectrometrymentioning

confidence: 99%

Understanding Cervical Cancer through Proteomics

Martínez-Rodríguez

Limones-González

Mendoza-Almanza

et al. 2021

Cells

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Cancer is one of the leading public health issues worldwide, and the number of cancer patients increases every day. Particularly, cervical cancer (CC) is still the second leading cause of cancer death in women from developing countries. Thus, it is essential to deepen our knowledge about the molecular pathogenesis of CC and propose new therapeutic targets and new methods to diagnose this disease in its early stages. Differential expression analysis using high-throughput techniques applied to biological samples allows determining the physiological state of normal cells and the changes produced by cancer development. The cluster of differential molecular profiles in the genome, the transcriptome, or the proteome is analyzed in the disease, and it is called the molecular signature of cancer. Proteomic analysis of biological samples of patients with different grades of cervical intraepithelial neoplasia (CIN) and CC has served to elucidate the pathways involved in the development and progression of cancer and identify cervical proteins associated with CC. However, several cervical carcinogenesis mechanisms are still unclear. Detecting pathologies in their earliest stages can significantly improve a patient’s survival rate, prognosis, and recurrence. The present review is an update on the proteomic study of CC.

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Section: Mass Spectrometrymentioning

confidence: 99%

Understanding Cervical Cancer through Proteomics

Martínez-Rodríguez

Limones-González

Mendoza-Almanza

et al. 2021

Cells

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“…In recent decades, a great new technique has emerged for in situ imaging, the Imaging Mass Spectrometry [142,143]. With this technique, it is possible to detect hundreds of proteins, peptides or lipids simultaneously in different tissue sections.…”

Section: Imaging Mass Spectrometrymentioning

confidence: 99%

Macrophage Identification In Situ

Nikovics¹,

Favier²

2021

Biomedicines

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Understanding the processes of inflammation and tissue regeneration after injury is of great importance. For a long time, macrophages have been known to play a central role during different stages of inflammation and tissue regeneration. However, the molecular and cellular mechanisms by which they exert their effects are as yet mostly unknown. While in vitro macrophages have been characterized, recent progress in macrophage biology studies revealed that macrophages in vivo exhibited distinctive features. Actually, the precise characterization of the macrophages in vivo is essential to develop new healing treatments and can be approached via in situ analyses. Nowadays, the characterization of macrophages in situ has improved significantly using antigen surface markers and cytokine secretion identification resulting in specific patterns. This review aims for a comprehensive overview of different tools used for in situ macrophage identification, reporter genes, immunolabeling and in situ hybridization, discussing their advantages and limitations.

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“…Mass spectrometry imaging (MSI) is a powerful label-free molecular imaging technique for biological research, which enables simultaneous localization of multiple classes of biomolecules with high sensitivity and unprecedented molecular specicity. [1][2][3][4] By acquiring a full mass spectrum in each pixel of a virtual grid, MSI generates hundreds of molecular images in a single experiment. Recent advances in MSI technology focus on the enhancement of the spatial resolution, 5,6 depth of molecular coverage [7][8][9] and acquisition throughput, [10][11][12] all of which substantially increase the data size.…”

Section: Introductionmentioning

confidence: 99%