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Selective in vivo metabolic cell-labeling-mediated cancer targeting

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TLDR
This work inhibits the cell-labeling activity of tetraacetyl-N-azidoacetylmannosamine (Ac4ManAz) by converting its anomeric acetyl group to a caged ether bond that can be selectively cleaved by cancer-overexpressed enzymes and thus enables the overexpression of azido groups on the surface of cancer cells.
Abstract
Distinguishing cancer cells from normal cells through surface receptors is vital for cancer diagnosis and targeted therapy. Metabolic glycoengineering of unnatural sugars provides a powerful tool to manually introduce chemical receptors onto the cell surface; however, cancer-selective labeling still remains a great challenge. Herein we report the design of sugars that can selectively label cancer cells both in vitro and in vivo. Specifically, we inhibit the cell-labeling activity of tetraacetyl-N-azidoacetylmannosamine (Ac4ManAz) by converting its anomeric acetyl group to a caged ether bond that can be selectively cleaved by cancer-overexpressed enzymes and thus enables the overexpression of azido groups on the surface of cancer cells. Histone deacetylase and cathepsin L-responsive acetylated azidomannosamine, one such enzymatically activatable Ac4ManAz analog developed, mediated cancer-selective labeling in vivo, which enhanced tumor accumulation of a dibenzocyclooctyne-doxorubicin conjugate via click chemistry and enabled targeted therapy against LS174T colon cancer, MDA-MB-231 triple-negative breast cancer and 4T1 metastatic breast cancer in mice.

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Biomedical applications of copper-free click chemistry: in vitro , in vivo , and ex vivo

TL;DR: Copper-free click chemistry has resulted in a change of paradigm, showing that artificial chemical reactions can occur on cell surfaces, in cell cytosol, or within the body.
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Phage-guided modulation of the gut microbiota of mouse models of colorectal cancer augments their responses to chemotherapy.

TL;DR: Dextran nanoparticles loaded with a chemotherapeutic agent and bound to phages that eliminate a pro-tumoural gut bacterium and promote the growth of anticancer-compound-producing bacteria boost chemotherapy responses in mouse models of colorectal cancer.
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Practical Considerations, Challenges, and Limitations of Bioconjugation via Azide–Alkyne Cycloaddition

TL;DR: This focused review highlights practical approaches to AAC reactions for the synthesis of peptide or protein bioconjugates and contrasts current challenges and limitations in light of recent advances in the field.
Journal ArticleDOI

S-glycosylation-based cysteine profiling reveals regulation of glycolysis by itaconate.

TL;DR: This study developed a specific thiol-reactive probe, 1-OH-Az, for quantitative chemoproteomic profiling of cysteine modifications by itaconate, and provided a global portrait of its proteome reactivity, finding that itaconates covalently modifies key glycolytic enzymes and impairs gly colytic flux mainly through inhibition of fructose-bisphosphate aldolase A (ALDOA).
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A Light-Up Probe with Aggregation-Induced Emission for Real-Time Bio-orthogonal Tumor Labeling and Image-Guided Photodynamic Therapy.

TL;DR: The first light-up probe based on a fluorogen with aggregation-induced emission for in vivo bio-orthogonal fluorescence turn-on tumor labeling is presented, showing negligible non-specific interaction with normal tissues.
References
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Use of Chemotherapy plus a Monoclonal Antibody against HER2 for Metastatic Breast Cancer That Overexpresses HER2

TL;DR: The addition of trastuzumab to chemotherapy was associated with a longer time to disease progression, a higher rate of objective response, a longer duration of response, and a lower rate of death at 1 year.
Journal ArticleDOI

Integrins: a family of cell surface receptors.

TL;DR: This brief review of sequence data from embryogenesis, thrombosis, and lymphocyte help and killing is summarized and attempts to clarify the relationships among the members of this family of cell surface receptors.
Journal ArticleDOI

Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies

TL;DR: Gen expression profiles from 21 breast cancer data sets and identified 587 TNBC cases may be useful in biomarker selection, drug discovery, and clinical trial design that will enable alignment of TNBC patients to appropriate targeted therapies.
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