Publications by authors named "Manman Tan"

Peptide-based therapeutic strategies offer considerable potential for tumor immunotherapy but suffer from poor systemic bioavailability, rapid plasma clearance, and limited tumor-targeting efficiency. To address these challenges, a biomimetic, photothermal-responsive liposomal delivery system was developed that enables precise delivery of immunotherapeutic peptides while enhancing the synergistic effects of photothermal therapy. This system enhances peptide stability through fluorination, disrupts post-translational modifications of PD-L1, and promotes its degradation, thereby amplifying the anti-tumor immune response.

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Micropeptides, originating from noncanonical translation, represent novel biomolecules with critical roles in tissue homeostasis and cancer development. However, the proteomic landscape and functional mechanisms of micropeptides in hepatocellular carcinoma (HCC) remain largely elusive. By employing a newly devised ultrafiltration tandem mass spectrometry assay, we identified an abundance of micropeptides in clinical HCC samples.

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The systematic identification and functional characterization of noncanonical translation products, such as novel peptides, will facilitate the understanding of the human genome and provide new insights into cell biology. Here, we constructed a high-coverage peptide sequencing reference library with 11,668,944 open reading frames and employed an ultrafiltration tandem mass spectrometry assay to identify novel peptides. Through these methods, we discovered 8945 previously unannotated peptides from normal gastric tissues, gastric cancer tissues and cell lines, nearly half of which were derived from noncoding RNAs.

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Article Synopsis
  • Advancements in peptidomics have identified many small open reading frames that may be linked to human cancer, but a comprehensive analysis of their potential remains underexplored.
  • The researchers created a workflow to analyze proteomic and transcriptomic data from large cancer datasets, discovering 19,586 novel micropeptides and identifying 3,065 that are dysregulated in cancer, with 370 of them tightly associated with patient prognosis.
  • By using a deep learning framework, they mapped a micropeptide-protein interaction network, demonstrating the roles of micropeptides in various biological processes, leading to key insights about their functions in cancer that can be accessed through their freely available database.
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High-fat diet (HFD)-induced obesity is a crucial risk factor for metabolic syndrome, mainly due to adipose tissue dysfunctions associated with it. However, the underlying mechanism remains unclear. This study has used genetic screening to identify an obesity-associated human lncRNA LINK-A as a critical molecule bridging the metabolic microenvironment and energy expenditure in vivo by establishing the HFD-induced obesity knock-in (KI) mouse model.

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Ferroptosis, a unique type of non-apoptotic cell death resulting from iron-dependent lipid peroxidation, has a potential physiological function in tumor suppression, but its underlying mechanisms have not been fully elucidated. Here, we report that the long non-coding RNA (lncRNA) LncFASA increases the susceptibility of triple-negative breast cancer (TNBC) to ferroptosis. As a tumor suppressor, LncFASA drives the formation of droplets containing peroxiredoxin1 (PRDX1), a member of the peroxidase family, resulting in the accumulation of lipid peroxidation via the SLC7A11-GPX4 axis.

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Nucleic acid-based drugs, such as RNA and DNA drugs, exert their effects at the genetic level. Currently, widely utilized nucleic acid-based drugs include nucleic acid aptamers, antisense oligonucleotides, mRNA, miRNA, siRNA and saRNA. However, these drugs frequently encounter challenges during clinical application, such as poor stability, weak targeting specificity, and difficulties in traversing physiological barriers.

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Tumor-specific targeted delivery is a major obstacle to clinical treatment of hepatocellular carcinoma (HCC). Here we have developed a novel multi-functional nanostructure GAL-GNR-siGPC-3, which consists of Galactose (GAL) as the HCC-targeting moiety, golden nanorods (GNR) as a framework to destroy tumor cells under laser irradiation, and siRNA of Glypican-3 (siGPC-3) which induce specifically gene silence of GPC-3 in HCC. Glypican-3 (GPC-3) gene is highly associated with HCC and is a new potential target for HCC therapy.

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While dendritic cell (DC)‑based immunotherapy has achieved satisfactory results in animal models, its effects were not satisfactory as initially expected in clinical applications, despite the safety and varying degrees of effectiveness in various types of cancer. Improving the efficacy of the DC‑based vaccine is essential for cancer immunotherapy. The present study aimed to investigate methods with which to amplify and enhance the antitumor immune response of a DC‑based tumor vaccine by silencing the expression of indoleamine 2,3‑dioxygenase 2 (IDO2), a tryptophan rate‑limiting metabolic enzyme in DCs.

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Liver cancer is one of the most common malignancies worldwide. The RAF kinase inhibitors are effective in the treatment of hepatocellular carcinoma (HCC); therefore, inhibition of the BRAF/MEK/ERK pathway has become a new therapeutic strategy for novel HCC therapy. However, targeted specific delivery systems for tumors are still significant obstacle to clinical applications.

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