ABSTRACT
Clinically, activated EGFR mutation associated chemo-drugs resistance has severely threaten NSCLC patients. Nanoparticle based small interfering RNA (siRNA) therapy representing another promising alternative by silencing specific gene while still suffered from charge associated toxicity, strong immunogenicity and poor targetability. Herein, we reported a novel EGFR-mutant NSCLC therapy relying on edible and cation-free kiwi-derived extracellular vesicles (KEVs), which showed sevenfold enhancement of safe dosage compared with widely used cationic liposomes and could be further loaded with Signal Transducer and Activator of Transcription 3 interfering RNA (siSTAT3). siSTAT3 loaded KEVs (STAT3/KEVs) could be easily endowed with EGFR targeting ability (STAT3/EKEVs) and fluorescence by surface modification with tailor-making aptamer through hydrophobic interaction. STAT3/EKEVs with a controlled size of 186 nm displayed excellent stability, high specificity and good cytotoxicity towards EGFR over-expressing and mutant PC9-GR4-AZD1 cells. Intriguingly, the systemic administration of STAT3/EKEVs significantly suppressed subcutaneous PC9-GR4-AZD1 tumor xenografts in nude mice by STAT3 mediated apoptosis. This safe and robust KEVs has emerged as the next generation of gene delivery platform for NSCLC therapy after multiple drug-resistance.
Subject(s)
Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , Animals , Mice , Humans , RNA, Small Interfering/chemistry , Mice, Nude , Fruit/metabolism , Cell Line, Tumor , Lung Neoplasms/drug therapy , Lung Neoplasms/genetics , Lung Neoplasms/pathology , Carcinoma, Non-Small-Cell Lung/drug therapy , Carcinoma, Non-Small-Cell Lung/genetics , ErbB Receptors/genetics , ErbB Receptors/metabolism , Drug Resistance, Neoplasm/genetics , STAT3 Transcription Factor/genetics , STAT3 Transcription Factor/metabolismABSTRACT
Itch is an unpleasant sensation that induces the desire to scratch. Except for a sketchy map focusing on neural mechanisms underlying itch processing being drawn at the peripheral and spinal level over the past decades, the brain mechanisms remain poorly understood. Several previous studies indicated that anterior cingulate cortex (ACC) and prelimbic cortex (PrL), two subregions of the medial prefrontal cortex (mPFC) play an important role in regulating itch processing. However, the knowledge about whether infralimbic cortex (IL), another subregion of mPFC, is involved in modulating itch processing remains unclear. Here, we showed that the activity of IL excitatory pyramidal neurons was significantly elevated during itch-related scratching, and pharmacogenetic inhibition of IL pyramidal neurons significantly impaired itch-related scratching. Moreover, IL-medial striatum (MS) projections were verified as a critical neural pathway for modulating itch processing. Therefore, the present study firstly presents the regulatory function of IL pyramidal neurons during itch processing and also reveals that IL-MS projections are involved in modulating the itch processing.
Subject(s)
Gyrus Cinguli , Prefrontal Cortex , Cerebral Cortex/metabolism , Corpus Striatum/metabolism , Humans , Neural Pathways/physiology , Prefrontal Cortex/metabolism , Pruritus/metabolismABSTRACT
Photosystem I (PSI) is a large protein supercomplex that catalyzes the light-dependent oxidation of plastocyanin (or cytochrome c6 ) and the reduction of ferredoxin. This catalytic reaction is realized by a transmembrane electron transfer chain consisting of primary electron donor (a special chlorophyll (Chl) pair) and electron acceptors A0 , A1 , and three Fe4 S4 clusters, FX , FA , and FB . Here we report the PSI structure from a Chl d-dominated cyanobacterium Acaryochloris marina at 3.3 Å resolution obtained by single-particle cryo-electron microscopy. The A. marina PSI exists as a trimer with three identical monomers. Surprisingly, the structure reveals a unique composition of electron transfer chain in which the primary electron acceptor A0 is composed of two pheophytin a rather than Chl a found in any other well-known PSI structures. A novel subunit Psa27 is observed in the A. marina PSI structure. In addition, 77 Chls, 13 α-carotenes, two phylloquinones, three Fe-S clusters, two phosphatidyl glycerols, and one monogalactosyl-diglyceride were identified in each PSI monomer. Our results provide a structural basis for deciphering the mechanism of photosynthesis in a PSI complex with Chl d as the dominating pigments and absorbing far-red light.
Subject(s)
Chlorophyll/metabolism , Cyanobacteria/chemistry , Pheophytins/metabolism , Photosystem I Protein Complex/chemistry , Cryoelectron Microscopy , Cyanobacteria/metabolism , Cyanobacteria/ultrastructure , Electron Transport , Photosystem I Protein Complex/metabolism , Photosystem I Protein Complex/ultrastructure , Protein Structure, QuaternaryABSTRACT
Photosystem I (PSI) and II (PSII) balance their light energy distribution absorbed by their light-harvesting complexes (LHCs) through state transition to maintain the maximum photosynthetic performance and to avoid photodamage. In state 2, a part of LHCII moves to PSI, forming a PSI-LHCI-LHCII supercomplex. The green alga Chlamydomonas reinhardtii exhibits state transition to a far larger extent than higher plants. Here we report the cryo-electron microscopy structure of a PSI-LHCI-LHCII supercomplex in state 2 from C. reinhardtii at 3.42 Å resolution. The result reveals that the PSI-LHCI-LHCII of C. reinhardtii binds two LHCII trimers in addition to ten LHCI subunits. The PSI core subunits PsaO and PsaH, which were missed or not well-resolved in previous Cr-PSI-LHCI structures, are observed. The present results reveal the organization and assembly of PSI core subunits, LHCI and LHCII, pigment arrangement, and possible pathways of energy transfer from peripheral antennae to the PSI core.
Subject(s)
Algal Proteins/metabolism , Chlamydomonas reinhardtii/metabolism , Light-Harvesting Protein Complexes/metabolism , Photosystem I Protein Complex/metabolism , Algal Proteins/chemistry , Algal Proteins/ultrastructure , Chlorophyll/metabolism , Cryoelectron Microscopy , Energy Transfer , Light-Harvesting Protein Complexes/chemistry , Light-Harvesting Protein Complexes/ultrastructure , Models, Molecular , Photosynthesis , Photosystem I Protein Complex/chemistry , Photosystem I Protein Complex/ultrastructure , Photosystem II Protein Complex/chemistry , Photosystem II Protein Complex/metabolism , Photosystem II Protein Complex/ultrastructure , Protein Binding , Protein Conformation , Protein Multimerization , Thylakoids/metabolism , Thylakoids/ultrastructureABSTRACT
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
ABSTRACT
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
ABSTRACT
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
ABSTRACT
Pinpointing subcellular protein localizations from microscopy images is easy to the trained eye, but challenging to automate. Based on the Human Protein Atlas image collection, we held a competition to identify deep learning solutions to solve this task. Challenges included training on highly imbalanced classes and predicting multiple labels per image. Over 3 months, 2,172 teams participated. Despite convergence on popular networks and training techniques, there was considerable variety among the solutions. Participants applied strategies for modifying neural networks and loss functions, augmenting data and using pretrained networks. The winning models far outperformed our previous effort at multi-label classification of protein localization patterns by ~20%. These models can be used as classifiers to annotate new images, feature extractors to measure pattern similarity or pretrained networks for a wide range of biological applications.
