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1.
Int J Biol Macromol ; 2020 Feb 10.
Artigo em Inglês | MEDLINE | ID: mdl-32057847

RESUMO

Diabetic nephropathy (DN) is the most common cause of end-stage renal disease (ESRD). Currently, approximately 20-40% of individuals with diabetes are diagnosed with DN. Mesangial cells (MCs) are critical for maintaining and regulating glomerular filtration, and the abnormal proliferation of MCs causes the accumulation of mesangial extracellular matrix (ECM), further promoting glomerular dysfunction and renal diseases. Low molecular weight fucoidan (LMWF) extracted from Saccharina japonica could alleviate DN, but the mechanism was not analysed. Based on the ability of LMWF to ameliorate the human renal mesangial cell (HRMC) injury caused by advanced glycation end products (AGEs), we identified fibronectin (FN) as the most obviously impacted protein in the ECM-receptor interaction by proteomic analysis. The co-localization of LMWF and FN indicated direct interaction between them, and surface plasmon resonance (SPR) analysis confirmed the specific binding with a KD of 453.7 µmol L-1. Positively charged protamine sulfate (PS) promoted the combination of LMWF and HRMCs and further enhanced the effect of LMWF on HRMC injury. Our results indicated that LMWF alleviates the HRMC injury caused by AGEs via binding FN and inhibiting the ECM-receptor interaction pathway. These results provide a foundation for the in-depth analysis of the mechanism of polysaccharide functions.

2.
J Cell Biochem ; 2020 Feb 07.
Artigo em Inglês | MEDLINE | ID: mdl-32030808

RESUMO

The tumor immune microenvironment is heterogeneous, and its impact on treatment responses is not well understood. It is still a challenge to analyze the interaction between malignant cells and the tumor microenvironment to apply suitable immunotherapy in lung adenocarcinoma. We performed the nonnegative matrix factorization method to 513 messenger RNA expression profiles of lung adenocarcinomas (LUADs) from The Cancer Genome Atlas (TCGA) to obtain an immune-related expression pattern. Subsequently, we characterized the immune-related gene signatures and clinical and survival characteristics. We used 576 patients from Gene Expression Omnibus to confirm our findings. Of the patients in the training cohort, 51% had a high immune enrichment score, high expression of immune cell signaling, cytolytic activity, and interferon (IFN)-related signatures (all P < .05). We denoted these as the Immune Class. We further subdivided the Immune Class into two subclasses based on the tumor microenvironment. These were denoted the Active Immune Class and Exhausted Immune Class. The former showed significant IFN, T-cells, M1 macrophage signatures, and better prognosis (all P < .05), while the latter presented an exhausted immune response with activated stromal enrichment, M2 macrophage signatures, and immunosuppressive factors such as WNT/transforming growth factor-ß (all P < .05). Furthermore, we predicted the response of our immunophenotypes to immunological checkpoint inhibitors (P < .05). Our findings provide a novel insight into the immune-related state of LUAD and can identify the patients who will be receptive to suitable immunotherapeutic treatments.

3.
Chem Commun (Camb) ; 2020 Feb 04.
Artigo em Inglês | MEDLINE | ID: mdl-32016238

RESUMO

Herein, we successfully regulated phosphorus vacancies in Co0.68Fe0.32P through Ar-plasma treatment. The Ar-plasma treated Co0.68Fe0.32P exhibits a delicate surface state where the surface Co and Fe ions show an unusual electron loss. The unique surface state enhances the oxygen evolving performance of the phosphide.

4.
J Cell Physiol ; 2020 Feb 04.
Artigo em Inglês | MEDLINE | ID: mdl-32017087

RESUMO

T-complex 11 like 2 (TCP11L2) is a protein containing a serine-rich region in its N-terminal region. However, the function of TCP11L2 is unclear. Here, we showed that TCP11L2 expression gradually increased during muscle-derived satellite cell (MDSC) differentiation in vitro, reaching a peak on Day 3, which is the migration and fusion stage of MDSCs. Using CRISPR/dCas9 gene-editing technology to elevate or repress the expression of TCP11L2, we also showed that TCP11L2 promoted MDSC differentiation. Moreover, wound-healing assays showed that TCP11L2 promoted the migration of MDSCs during differentiation. Additionally, immunofluorescence analyses showed that TCP11L2 was mainly distributed around the microfilament and microtubules. Furthermore, the expression of TCP11L2 affected the expression of actin-related protein 2/3 (ARP2/3) complex. Co-immunoprecipitation assays and immunofluorescence analysis showed that TCP11L2 interacted with formin-like 2 (FMNL2). This protein promoted migration of bovine MDSCs by affecting the expression of ARP2/3. Finally, the activities of TCP11L2 during MDSC differentiation and migration were blocked when FMNL2 was inhibited. Taken together, our data established that TCP11L2 interacted with FMNL2 to promote MDSC migration and differentiation.

6.
Structure ; 2020 Jan 24.
Artigo em Inglês | MEDLINE | ID: mdl-31995743

RESUMO

Intermediate filaments (IFs) provide vital mechanical support in a broad array of cell types. Interference with this role causes cell fragility and accounts for a large number of human diseases. Gaining an understanding of the structure of IFs is paramount to understanding their function and designing therapeutic agents for relevant diseases. Here, we report the 2.6-Å resolution crystal structure of a complex of interacting 2B domains of keratin 5 (K5) and K14. K5 and K14 form a long-range, left-handed coiled coil, with participating α helices aligned in parallel and in register. Follow-up mutagenesis revealed that specific contacts between interacting 2B domains play a crucial role during 10-nm IF assembly, likely at the step of octamer-octamer association. The resulting structural model represents an atomic-resolution visualization of 2B-2B interactions important to filament assembly and provides insight into the defects introduced by mutations in IF genes associated with human skin diseases.

7.
J Cell Biochem ; 2020 Jan 03.
Artigo em Inglês | MEDLINE | ID: mdl-31898335

RESUMO

Cartilage calcification contributes to the development and progression of osteoarthritis (OA). It has been well-investigated adiponectin regulates vascular calcification. The purpose of this study is to investigate the therapeutic value and the molecular mechanism of AdipoRon, an adiponectin receptor agonist, on the chondrocytes calcification. Primary chondrocytes were isolated and cultured from normal cartilage and OA cartilage. The calcification in tissues was evaluated by inductively coupled plasma/atomic emission spectroscopy and alizarin red S staining. The calcification in chondrocytes was determined using the alkaline phosphatase (ALP) staining and an ALP assay kit. The cellular effects of AdipoRon were assessed by immunofluorescence staining and Western blot analysis. We found that calcification was significantly increased in OA cartilage tissues and cells. Importantly, the degree of calcification and ALP activity of the OA chondrocytes was decreased upon the treatment with AdipoRon. The AdipoRon-induced cellular effects, including the reduction of the calcification of chondrocytes and improvement of autophagy, were blocked by dorsomorphin, an 5'-adenosine monophosphate-activated protein kinase (AMPK) inhibitor. Moreover, autophagy activation by AdipoRon was mediated by the AMPK-mammalian target of rapamycin (mTOR) signaling pathway. Our results suggest that AdipoRon significantly alleviates the calcification of OA chondrocytes via activating AMPK-mTOR signaling to promote autophagy. Therefore, AdipoRon could be a potential therapeutic agent for the prevention and treatment of OA.

8.
Analyst ; 2020 Jan 03.
Artigo em Inglês | MEDLINE | ID: mdl-31898708

RESUMO

Biological nanopore technology has the advantages of high selectivity and high reproducibility for characterizing single biomolecules. However, it is challenging to achieve protein sequencing owing to the heterogeneous charge distributions of the protein and the small structural difference from each amino acid. Here, we took the inherent electrochemically confined sensing interface of the aerolysin nanopore to enhance its interaction with single amino acids. The results showed that single cysteine molecules, a highly reactive amino acid in aging and neurodegenerative diseases, could be captured and monitored by an aerolysin nanopore as it produced distinctive current blockages with a prolonged statistical duration of 0.11 ± 0.02 ms at +120 mV. This is the first report of the detection of a single amino acid molecule by a biological nanopore directly without any modification and labelling. This study facilitates the direct detection of single amino acids by regulating the characteristic interaction between the single amino acids and the designed sensing interface of aerolysin nanopores.

9.
Talanta ; 209: 120535, 2020 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-31892060

RESUMO

The integration of highly-purity, dense and monodisperse plasmonic nanoparticles (NPs) on two-dimensional (2D) graphene-like support possesses great potential for optimizing surface-enhanced Raman spectroscopy (SERS). Based on ultraviolet (UV) laser-induced modified photochemical reaction, we report an ingenious and green strategy to support highly dispersed Au NPs with controllable distribution on graphene oxide (GO). Without using any stabilizing agents or other complex chemical additives, the GO with abundant oxygen-containing functional groups can be effectively excited by 375 nm laser irradiation in HAuCl4 solution, resulting in controlled reduction of Au ions and then overgrowth of highly-purity Au NPs. Highly dense and monodisperse Au NPs with uniform diameter of ~20 nm formed on GO supports can be achieved by 30 min irradiation, which can offer maximized SERS activity in comparison with GO/Au NPs obtained by other irradiation times. The optimized GO/Au NPs give rise to ultralow SERS analyses of (10-14 M) methylene blue (MB), (10-13 M) rhodamine 6G (R6G) and (10-13 M) malachite green (MG), respectively. More importantly, it can also simultaneously analyze these three aromatic dyes in a mixture condition at detection limits as low as nano-mole level (10-9-10-11 M), achieving the urgent requirement of mutually independent SERS trace detection. Therefore, the obtained GO/Au NPs with extremely high SERS activity and superior spectroscopic identification will be a prominent candidate for widespread SERS applications in real-word scenarios.

10.
Clin Immunol ; 212: 108345, 2020 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-31953149

RESUMO

BACKGROUND: Biomarkers in non-colorectal gastrointestinal (GI) cancer patients receiving immune checkpoint blockades (ICBs) are still limited. METHODS: Data were prospectively collected from a discovery cohort (n = 53) and a validation cohort (n = 107) in patients with non-colorectal GI cancer receiving ICB, as well as a chemotherapy-only cohort (n = 171). System inflammatory markers and derived neutrophil-to-lymphocyte ratio (dNLR) were determined as biomarkers by univariate and multivariate analyses. RESULTS: A higher level of dNLR (cutoff = 3) was associated with shorter overall survival (OS) in discovery and validation cohorts. In pooled cohort, disease control rate (DCR) (28% vs. 48.1%) was associated with dNLR (p = .017). In univariate analysis, original tumor site, tumor histopathology, number of metastases, and dNLR were correlated with OS. In multivariate analysis, higher dNLR level was correlated with reduced OS (10.43 months vs. 4.20 months, p < .001). In chemotherapy-only cohort, dNLR was also correlated with DCR and OS. CONCLUSION: Higher dNLR level was correlated with worse outcomes, suggesting that dNLR may help risk-group stratification and assist disease management strategies as a prognostic biomarker for non-colorectal GI patients receiving ICB.

11.
Environ Int ; 136: 105487, 2020 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-31999974

RESUMO

BACKGROUND: The major components of traffic pollution particulate matter, diesel exhaust particles (DEPs), are airborne ultrafine particles (UFPs). DEPs can enter the central nervous system (CNS), where they may cause neurotoxicity. METHODS: We established murine models with intranasal DEPs instillation in male C57BL/6 and Nlrp3 knock-out (Nlrp3-/-) mice to investigate the effects of DEPs exposure on murine neurobehaviors and related mechanisms. Morris water maze (MWM) tests were performed to evaluate the learning and memory behaviors of mice following DEPs instillation. Metabolomics were assessed using an gas chromatography system coupled to a mass spectrometer. Real-time PCR and immunohistochemistry assays were used to analyze the mRNA and protein expression levels of target genes. Murine microglia, BV2 cells were employed to assay the effects of DEPs exposure in vitro. RESULTS: Intranasal administration of DEPs in mice led to impairment in hippocampal-dependent learning and memory. Moreover, this phenotype was linked to increased number of Iba-1+ microglia and NLRP3 inflammasome, as well as suppression of mitochondrial gene expression in the hippocampus of mice exposed to DEPs. Nlrp3-/- mice were resistant to DEPs-induced learning and memory impairment, concomitant with protection against the suppression of mitochondrial gene expression. Murine microglia cells (BV2) were exposed to DEPs in vitro and taurine was identified as one of the significantly suppressed metabolites in DEPs-treated microglia by metabolomics analysis. Supplementation with taurine efficiently rescued learning, memory and mitochondrial gene expression levels in the hippocampus of DEPs-exposed mice. CONCLUSIONS: Mechanistically, our study revealed that microglia-mediated NLRP3 inflammasome activation plays a deleterious role in DEPs-induced neurotoxicity by inhibiting mitochondrial gene expression. These results shed novel light on the potential value of nutritional supplementation against DEPs-induced neurotoxicity in individuals exposed to severe airborne traffic-related air pollutions.

12.
Medicine (Baltimore) ; 99(2): e18533, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-31914026

RESUMO

BACKGROUND: Recent studies have shown that long noncoding RNA (lncRNA) H19 is aberrantly expressed in various cancers. However, the prognostic significance of H19 in cancer patients remains to be elucidated. Here, we designed and conducted a meta-analysis to evaluate the prognostic value of this lncRNA for malignant solid neoplasms. METHODS: Relevant publications were collected from PubMed, Cochrane Library, Web of Science, and Embase databases. The relevant survival data of patients with H19-associated cancers were downloaded from The Cancer Genome Atlas (TCGA) project. Statistically significant relationships between H19 expression levels and overall survival were analyzed by hazard ratios (HRs) and corresponding 95% confidence intervals (CIs). RESULTS: A total of 15 studies with 1584 patients were ultimately included for this literature meta-analysis. An elevated level of H19 expression was found to be negatively correlated with the overall survival (OS) (HR = 1.62, 95% CI = 1.36-1.93, P < .001) in various cancers. Abnormal H19 expression was also positively correlated with poor tumor differentiation (P < .0001), more advanced clinical stage (P < .0001), earlier lymph node metastasis (P < .0001), and earlier distant metastasis (P < .05). The relationship between elevated H19 expression and overall survival was further validated by a TCGA dataset consisting of 7462 cancer patients (HR = 1.12, 95% CI = 1.03-1.22, P < .05). CONCLUSION: Our study indicates that H19 expression is closely relevant to clinical outcome and suggests that lncRNA H19 could be a crucial prognostic biomarker for certain carcinoma types.


Assuntos
Neoplasias/genética , Neoplasias/mortalidade , RNA Longo não Codificante/genética , Biomarcadores Tumorais/genética , Carcinoma , Feminino , Humanos , Metástase Linfática/genética , Metástase Linfática/patologia , Masculino , Neoplasias/patologia , Prognóstico , Intervalo Livre de Progressão
13.
J Orthop Surg Res ; 15(1): 31, 2020 Jan 29.
Artigo em Inglês | MEDLINE | ID: mdl-31996244

RESUMO

BACKGROUND: Total joint arthroplasty is a mature and effective treatment for end-stage osteoarthritis. Assisting patients in completing the transition of the perioperative period and improving their satisfaction are important aspects of quality of care. This study aimed to investigate an intervention to improve the quality of care transition for joint arthroplasty patients informed by the knowledge-to-action (KTA) framework. METHODS: In this quasi-experimental study, a total of 160 patients who underwent joint arthroplasty at a tertiary hospital from September to November 2018 and January to March 2019 were selected as participants using convenience sampling. The control group received routine medical care, while the observation group received medical care based on the KTA framework. Transitional care quality was assessed by the Care Transition Measure (CTM), with follow-up 1 week after discharge. RESULTS: The observation group fared significantly better than the control group on general self-care preparation and written plan dimensions, as well as the quality of care transition. There was no significant difference in doctor-patient communication or health monitoring. CONCLUSIONS: The KTA framework provides a logical, valuable tool for clinical work. Using the KTA framework for joint arthroplasty patients helps to improve the quality of care transition, which is worth promoting.

14.
EBioMedicine ; 51: 102583, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-31901866

RESUMO

BACKGROUND: Heterogeneous nuclear ribonucleoprotein (hnRNP) A2/B1 is an important RNA-binding protein that affects the RNA processing, splicing, transport and stability of many genes. hnRNPA2/B1 is expressed during proliferation and metastasis of various cancer types and promotes such processes. However, the precise role and mechanism of hnRNPA2/B1 in breast cancer remain unclear. METHODS: The association of hnRNPA2/B1 with breast cancer metastasis was assessed using tissue chips, mouse models and publicly available data. The role and mechanism of hnRNPA2/B1 in breast cancer metastasis were studied in cell lines and mouse models. FINDINGS: In contrast to other cancer research findings, hnRNPA2/B1 expression was negatively correlated with breast cancer metastasis. hnRNPA2/B1 inhibited MDA-MB-231 triple-negative breast cancer (TNBC) cell metastasis in vitro and in vivo. hnRNPA2/B1 knockout activated ERK-MAPK/Twist and GR-beta/TCF4 pathways but inhibited STAT3 and WNT/TCF4 signalling pathways. Profilin 2 (PFN2) promoted breast cancer cell migration and invasion, whereas hnRNPA2/B1 bound directly to the UAGGG locus in the 3'-untranslated region of PFN2 mRNA and reduced the stability of PFN2 mRNA. INTERPRETATION: Our data supported the role of hnRNPA2/B1 in tumour metastasis risk and survival prediction in patients with breast cancer. The inhibitory role of hnRNPA2/B1 in metastasis was a balance of downstream multiple genes and signalling pathways. PFN2 downregulation by hnRNPA2/B1 might partly explain the inhibitory mechanism of hnRNPA2/B1 in breast cancer metastasis. Therefore, hnRNPA2/B1 might be used as a new prognostic biomarker and valuable molecular target for breast cancer treatments.

15.
Traffic Inj Prev ; 21(1): 42-47, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-31986072

RESUMO

Objective: As one of the bases for designing a humanlike brake control system for the intelligent vehicle, drivers' deceleration behavior needs to be understood. There are two modes for drivers' deceleration behavior: (i) brake pedal input, by applying brake system to reduce the speed; (ii) no pedal input, by releasing the accelerator pedal without pressing the brake pedal, thus decelerating by naturalistic driving resistance. The deceleration behavior that drivers choose to press the brake pedal has been investigated in previous studies. However, releasing the accelerator pedal behavior has not received much attention. The objective of this study is to investigate factors that influence drivers' choice of the two deceleration modes using naturalistic driving data, which provide a theoretical foundation for the design of the brake control system.Methods: A logistic model was constructed to model drivers' deceleration mode, valued as "no pedal input" or "brake pedal input" for dependent variables. Factors such as Light condition, Intersection mode, Road alignment, Traffic flow, Traffic light, Ego-vehicle motion state, Lead vehicle motion state, Time headway (THW), and Ego-vehicle speed were considered in the model as independent variables.Results: 393 deceleration events were selected from the naturalistic driving data, which used as the database for the regression model. As a result, 6 remarkable factors were found to influence drivers' deceleration model, which include Traffic flow, Intersection mode, Lead vehicle motion state, Ego-vehicle motion state, Ego-vehicle speed and THW. Specifically, (1) the possibility of drivers choosing "no pedal input" is gradually increasing with the increase of THW and speed; (2) The drivers prefer to choose "no pedal input" when the lead vehicle is decelerating compared to it's stationary. This probability is relatively high when the lead vehicle is traveling along the road; (3) the possibility of choosing "no pedal input" at intersection is higher than roads without intersection; (4) the possibility of choosing "no pedal input" is higher when traveling with more traffic flow.Conclusion: The drivers' deceleration behavior can be divided into "no pedal input" and "brake pedal input." The following six factors significantly affect drivers' choice of deceleration mode: Traffic flow, Intersection mode, Lead vehicle motion state, Ego-vehicle motion state, Ego-vehicle speed and THW. The logistic regression model can quantify the influence of these six factors on drivers' deceleration behavior. This study provides a theoretical basis for the braking system design of ADAS (Advanced Driving Assistant System) and intelligent control system.

16.
Mol Oncol ; 2020 Jan 17.
Artigo em Inglês | MEDLINE | ID: mdl-31951095

RESUMO

Patients with metastatic gastric cancer (GC) have a poor prognosis; however, the molecular mechanism of GC metastasis remains unclear. Here, we employed bioinformatics to systematically screen the metastasis-associated genes and found that the levels of basal cell adhesion molecule (BCAM) were significantly increased in GC tissues from patients with metastasis, as compared to those without metastasis. The upregulation of BCAM was also significantly associated with a shorter survival time. Depletion of BCAM inhibited GC cell migration and invasion. Knockout (KO) of BCAM by the CRISPR/Cas9 system reduced the invasion and metastasis of GC cells. To explore the mechanism of BCAM upregulation, we identified a previously uncharacterized BCAM sense lncRNA that spanned from exon 6 to intron 6 of BCAM, and named it as BCAM-associated long noncoding RNA (BAN). Knockdown of BAN inhibited BCAM expression at both mRNA and protein levels. Knockdown of BAN suppressed GC cell migration and invasion, which was effectively rescued by ectopic expression of BCAM. Further clinical data showed that BAN upregulation was associated with GC metastasis and poor prognosis. Importantly, BAN expression was also significantly associated with that of BCAM in GC tissues. Taken together, these results indicate that increased expression of BCAM and its sense lncRNA BAN promote GC cell invasion and metastasis, and are associated with poor prognosis of GC patients.

17.
Int J Mol Med ; 45(2): 333-342, 2020 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-31894261

RESUMO

Ischemic stroke (IS) is a severe neurological disease and a major cause of death and disability throughout the world. A long non­coding (lnc)RNA, transcription factor (TF) and gene can form a lncRNA­mediated regulatory triplet (LncMRT), which is a functional network motif that regulates numerous aspects of human diseases. However, systematic identification and molecular characterization of LncMRTs and their roles in IS has not been carried out. In the present study, a global LncMRT network was constructed and the topological features were characterized based on experimentally verified interactions. An integrated approach was developed to identify significantly dysregulated LncMRTs in peripheral blood mononuclear cells of IS and these dysregulated LncMRT networks exhibited specific topological characteristics and a closer network structure than the global LncMRT network that was constructed. The variation of the risk score for LncMRTs indicated that there were multiple dysregulated patterns of LncMRTs in IS. Numerous core clusters were identified from dysregulated LncMRT networks and these core clusters could distinguish IS patient and matched control samples. Finally, functional analyses demonstrated that LncMRTs associated with IS participated in the regulation of the phosphatidylinositol 3­kinase/protein kinase B signaling pathway. In conclusion, the roles of the LncMRTs in IS were elucidated, which could be beneficial for understanding IS pathogenesis and treatment.

18.
Artigo em Inglês | MEDLINE | ID: mdl-31940560

RESUMO

Visual domain adaptation aims to seek an effective transferable model for unlabeled target images by benefiting from the well-labeled source images following different distributions. Many recent efforts focus on extracting domain-invariant image representations via exploring target pseudo labels, predicted by the source classifier, to further mitigate the conditional distribution shift across domains. However, two essential factors are overlooked by most existing methods: 1) the learned transferable features should be not only domain invariant but also category discriminative; and 2) the target pseudo label is a two-edged sword to cross-domain alignment. In other words, the wrongly predicted target labels may hinder the class-wise domain matching. In this article, to address these two issues simultaneously, we propose a discriminative transfer feature and label consistency (DTLC) approach for visual domain adaptation problems, which can naturally unify cross-domain alignment with discriminative information preserved and label consistency of source and target data into one framework. To be specific, DTLC first incorporates class discriminative information by penalizing the maximum distance of data pair in the same class and the minimum distance of data pair sharing the different labels for each data into the distribution alignment of both domains. The target pseudo labels are then refined based on the label consistency within the domains. Thus, the transfer feature learning and coarse-to-fine target labels would be coupled to benefit each other in an iterative way. Comprehensive experiments on several visual cross-domain benchmarks verify that DTLC can gain remarkable margins over state-of-the-art (SOTA) nondeep visual domain adaptation methods and even be comparable to competitive deep domain adaptation ones.

19.
Artigo em Inglês | MEDLINE | ID: mdl-31944945

RESUMO

Deep domain adaptation methods have achieved appealing performance by learning transferable representations from a well-labeled source domain to a different but related unlabeled target domain. Most existing works assume source and target data share the identical label space, which is often difficult to be satisfied in many real-world applications. There is a more practical scenario called partial domain adaptation, where the target label space is a subset of the source label space. In this case, reinforcing the positive effects of the most relevant source subclasses and reducing the negative impacts of irrelevant source subclasses are crucial. This paper proposes an efficiently-implemented Deep Residual Correction Network by plugging one residual block into the source network, which effectively enhances the adaptation from source to target and explicitly weakens the influence from the irrelevant source classes. Moreover, we design a weighted class-wise domain alignment loss to couple two domains by matching the feature distributions of shared classes between source and target. Comprehensive experiments on partial, traditional and fine-grained cross-domain visual recognition demonstrate that DRCN is superior to the competitive deep domain adaptation approaches.

20.
Carbohydr Polym ; 232: 115822, 2020 Mar 15.
Artigo em Inglês | MEDLINE | ID: mdl-31952617

RESUMO

Chondroitin sulfate is a linear glycosaminoglycan widely distributed as an important extracellular matrix component of mammalian cells. It participates in numerous pathological processes, however, illustration of its diverse biological roles is hampered by the unavailability of structurally defined chondroitin polymers and their derivatives. Herein, we report a novel homogeneous chondroitin polymers synthetic strategy which combines stepwise oligosaccharides synthesis with one-pot homogeneous chondroitin chain polymerization. Exogenous trisaccharide was proved to be the necessary acceptor for PmCS-catalyzed homogeneous chondroitin polymers synthetic reactions. The strategy exhibited a well-controlled relationship between the final sugar chain length and the molar ratios of reaction substrates that could synthesize homogenous chondroitin polymers with unprecedented narrow molecular weight distribution. More importantly, the strategy was further expanded to synthesis of unnatural zwitterionic and N-sulfonated chondroitin polymers by incorporation of sugar nucleotide derivatives into the synthetic approach.

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