Recent advances in conventional and unconventional vesicular secretion pathways in the tumor microenvironment

Kuo, I-Ying; Hsieh, Chih‐Hsiung; Kuo, Wan-Ting; Chang, Chih‐Peng; Wang, Yi‐Ching

doi:10.1186/s12929-022-00837-8

Cited by 22 publications

(19 citation statements)

References 237 publications

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“…Such connections between autophagy and Type III UPS arose from the study of Acb1 secretion. Unconventional secretion of Acb1 in yeast is induced by rapamycin and mediated by CUPS (compartment for unconventional protein secretion) requiring core ATG genes and multivesicular body components (New & Thomas, 2019; Kuo et al ., 2022). The various autophagy‐related unconventionally secreted cargo proteins are known today, including cytokines, neurodegenerative disease‐associated proteins, lipid‐binding proteins, and transmembrane proteins (Noh et al ., 2022).…”

Section: Discussionmentioning

confidence: 99%

Rab7/Retromer‐based endolysosomal trafficking is essential for proper host invasion in rice blast

et al. 2023

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Summary Secretion is a fundamental process that plant pathogens utilize to deliver effectors into the host to downregulate immunity and promote infection. Here, we uncover a fascinating membrane trafficking and delivery route that originates from vacuolar membranes in Magnaporthe oryzae and conduits to the host interface and plasma membrane. To perform such secretory/trafficking function, MoRab7 first recruits the retromer complex to the vacuolar membrane, enabling recognition of a family of SNARE proteins, including MoSnc1. Live‐cell imaging confirmed a highly dynamic vesicular trafficking of the retromer complex component(s) and MoSnc1 toward and across the host interface or plasma membrane, and subsequent fusion with target membranes. Interestingly, disruption of the MoRab7/Retromer/MoSnc1‐based endolysosomal cascade affects effector secretion and fungal pathogenicity. Taken together, we discovered an unconventional protein and membrane trafficking route starting from the fungal endolysosomes to the M. oryzae–rice interaction interface and dissect the role of MoRab7/Retromer/MoSnc1 sorting machinery in effector secretion during biotrophy and invasive growth in rice blast fungus.

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Section: Discussionmentioning

confidence: 99%

Rab7/Retromer‐based endolysosomal trafficking is essential for proper host invasion in rice blast

et al. 2023

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“…The types of cytokines produced in the TME could determine the result of tumor immunotherapy as they affect T cell infiltration and macrophage polarization [ 45 – 47 ]. The TME is usually hypoxic, thus affecting T lymphocyte infiltration, macrophage polarization, fibroblast proliferate and angiogenesis, making it hard to realize the ideal tumor-killing effect and for this, tumor cells may grow and metastasize [ 48 , 49 ].…”

Section: Introductionmentioning

confidence: 99%

Nanomaterials in tumor immunotherapy: new strategies and challenges

Zhu

2023

Mol Cancer

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Tumor immunotherapy exerts its anti-tumor effects by stimulating and enhancing immune responses of the body. It has become another important modality of anti-tumor therapy with significant clinical efficacy and advantages compared to chemotherapy, radiotherapy and targeted therapy. Although various kinds of tumor immunotherapeutic drugs have emerged, the challenges faced in the delivery of these drugs, such as poor tumor permeability and low tumor cell uptake rate, had prevented their widespread application. Recently, nanomaterials had emerged as a means for treatment of different diseases due to their targeting properties, biocompatibility and functionalities. Moreover, nanomaterials possess various characteristics that overcome the defects of traditional tumor immunotherapy, such as large drug loading capacity, precise tumor targeting and easy modification, thus leading to their wide application in tumor immunotherapy. There are two main classes of novel nanoparticles mentioned in this review: organic (polymeric nanomaterials, liposomes and lipid nanoparticles) and inorganic (non-metallic nanomaterials and metallic nanomaterials). Besides, the fabrication method for nanoparticles, Nanoemulsions, was also introduced. In summary, this review article mainly discussed the research progress of tumor immunotherapy based on nanomaterials in the past few years and offers a theoretical basis for exploring novel tumor immunotherapy strategies in the future.

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“…In non-vesicular transport, proteins are secreted into the extracellular space, whereas in vesicular transport, proteins are secreted via vesicles. These vesicular structures comprise a of a variety of classes, and among these classes, exosomes stand out [4,5].…”

Section: Introductionmentioning

confidence: 99%

A random forest model for predicting exosomal proteins using evolutionary information and motifs

Arora

Patiyal

Sharma

et al. 2023

Preprint

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Identification of secretory proteins in body fluids is one of the key challenges in the development of non-invasive diagnostics. It has been shown in the part that a significant number of proteins are secreted by cells via exosomes called exosomal proteins. In this study, an attempt has been made to build a model that can predict exosomal proteins with high precision. All models are trained, tested, and evaluated on a non-redundant dataset comprising 2831 exosomal and 2831 non-exosomal proteins, where no two proteins have more than 40% similarity. Initially, the standard similarity-based method BLAST was used to predict exosomal proteins, which failed due to low-level similarity in the dataset. To overcome this challenge, machine learning based models have been developed using compositional features of proteins and achieved highest AUROC of 0.70. The performance of the ML-based models improved significantly to AUROC of 0.73 when evolutionary information in the form of PSSM profiles was used for building models. Our analysis indicates that exosomal proteins have wide range of motifs. In addition, it was observed that exosomal proteins contain different types of sequence-based motifs, which can be used for predicting exosomal proteins. Finally, a hybrid method has been developed that combines a motif-based approach and an ML-based model for predicting exosomal proteins, achieving a maximum AUROC 0.85 and MCC of 0.56 on an independent dataset. The hybrid model in this study performs better than the presently available methods when assessed on an independent dataset. A web server and a standalone software ExoProPred has been created for the scientific community to provide service, code, and data. (https://webs.iiitd.edu.in/raghava/exopropred/).

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Recent advances in conventional and unconventional vesicular secretion pathways in the tumor microenvironment

Cited by 22 publications

References 237 publications

Rab7/Retromer‐based endolysosomal trafficking is essential for proper host invasion in rice blast

Rab7/Retromer‐based endolysosomal trafficking is essential for proper host invasion in rice blast

Nanomaterials in tumor immunotherapy: new strategies and challenges

A random forest model for predicting exosomal proteins using evolutionary information and motifs

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