A5101627419- Malaria Research and Control
- EEG and Brain-Computer Interfaces
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- Respiratory Support and Mechanisms
- Gaze Tracking and Assistive Technology
- Blind Source Separation Techniques
- Bioinformatics and Genomic Networks
- Invertebrate Immune Response Mechanisms
- vaccines and immunoinformatics approaches
- HIV Research and Treatment
- Emotion and Mood Recognition
- Mosquito-borne diseases and control
- Parasitic Infections and Diagnostics
- Genomics and Phylogenetic Studies
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Atmospheric chemistry and aerosols
- Neural Networks and Applications
- RNA and protein synthesis mechanisms
- Face and Expression Recognition
- Advanced Proteomics Techniques and Applications
- Parasites and Host Interactions
- Medical Research and Treatments
- Neonatal and fetal brain pathology
- Machine Learning and ELM
Hangzhou Dianzi University
2013-2025
Qiqihar University
2024
Southeast University
2024
Nanyang Technological University
2014-2023
University of Maryland, Baltimore County
2011-2012
Zhejiang University
2010
Shenzhen Second People's Hospital
2008
Armstrong Atlantic State University
2006
Artemisinin resistance in Plasmodium falciparum threatens global efforts to control and eliminate malaria. Polymorphisms the kelch domain-carrying protein K13 are associated with artemisinin resistance, but underlying molecular mechanisms unknown. We analyzed vivo transcriptomes of 1043 P. isolates from patients acute malaria found that is increased expression unfolded response (UPR) pathways involving major PROSC TRiC chaperone complexes. Artemisinin-resistant parasites also exhibit...
Due to their remarkable parasitocidal activity, artemisinins represent the key components of first-line therapies against Plasmodium falciparum malaria. However, decline in efficacy artemisinin-based drugs jeopardizes global efforts control and ultimately eradicate disease. To better understand resistance phenotype, artemisinin-resistant parasite lines were derived from two clones 3D7 strain P. using a selection regimen that mimics how parasites interact with drug within patients. This long...
Epigenetic mechanisms are emerging as one of the major factors dynamics gene expression in human malaria parasite, Plasmodium falciparum. To elucidate role chromatin remodeling transcriptional regulation associated with progression P. falciparum intraerythrocytic development cycle (IDC), we mapped temporal pattern chromosomal association histone H3 and H4 modifications using ChIP-on-chip. Here, have generated a broad integrative epigenomic map twelve during IDC including H4K5ac, H4K8ac,...
The emergence and spread of artemisinin-resistant Plasmodium falciparum, first in the Greater Mekong Subregion (GMS), now East Africa, is a major threat to global malaria elimination ambitions. To investigate artemisinin resistance mechanism, transcriptome analysis was conducted 577 P. falciparum isolates collected GMS between 2016-2018. A specific resistance-associated transcriptional profile identified that involves broad but discrete set biological functions related proteotoxic stress,...
Historically seen as a benign disease, it is now becoming clear that Plasmodium vivax can cause significant morbidity. Effective control strategies targeting P. malaria hindered by our limited understanding of biology. Here we established the transcriptome Intraerythrocytic Developmental Cycle (IDC) two clinical isolates in high resolution Illumina HiSeq platform. The detailed map generates new insights into regulatory mechanisms individual genes and reveals their intimate relationship with...
Abstract DNA of malaria parasites, Plasmodium falciparum , is subjected to extraordinary high levels genotoxic insults during its complex life cycle within both the mosquito and human host. Accordingly, most components repair machinery are conserved in parasite genome. Here, we investigated genome-wide responses P. damaging agents provided transcriptional evidence existence double strand break excision system. We also showed that acetylation at H3K9, H4K8 H3K56 play a role direct indirect...
The predisposition of parasites acquiring artemisinin resistance still remains unclear beyond the mutations in Pfk13 gene and modulation unfolded protein response pathway. To explore chain casualty underlying resistance, we reanalyze 773 P. falciparum isolates from TRACI-study integrating TWAS, GWAS, eQTL analyses. We find majority are transcriptomically converged within each geographic site with two broader physiological profiles across Greater Mekong Subregion (GMS). report 8720...
Sleep staging is important in sleep research since it the basis for evaluation and disease diagnosis. Related works have acquired many desirable outcomes. However, most of current studies focus on time-domain or frequency-domain measures as classification features using single very few channels, which only obtain local but ignore global information exchanging between different brain regions. Meanwhile, functional connectivity considered to be closely related activity can used study...
Plasmodium knowlesi is one of five species known to cause malaria in humans and can result severe illness death. While a zoonosis humans, this simian parasite infects macaque monkeys serves as an experimental model for vivo, ex vivo vitro studies. It has underpinned discoveries relating host-pathogen interactions, the immune response evasion strategies. This study investigated differences P. gene expression samples from cultures.
The dynamics of histone modifications in Plasmodium falciparum indicates the existence unique mechanisms that link epigenetic factors with transcription. Here, we studied impact acetylated code on transcriptional regulation during intraerythrocytic developmental cycle (IDC) P. falciparum.Using a dominant-negative transgenic approach, showed acetylations H4 play direct role Specifically, these mediate an inverse relationship between cell proliferation and host-parasite interaction. Out four...
Abstract Objective . The non-stationarity of electroencephalogram (EEG) signals and the variability among different subjects present significant challenges in current Brain–Computer Interfaces (BCI) research, which requires a time-consuming specific calibration procedure to address. Transfer Learning (TL) offers potential solution by leveraging data or models from one more source domains facilitate learning target domain, so as address these challenges. Approach In this paper, novel...
[1] This research uses the critical reflectance technique, a space-based remote sensing method, to measure spatial distribution of aerosol absorption properties over land. Choosing two regions dominated by biomass burning aerosols, series sensitivity studies were undertaken analyze potential limitations this method for type be encountered in selected study areas, and show that retrieved results are relatively insensitive uncertainties assumptions used retrieval smoke aerosol. The technique...
Abstract Background Sequencing technology advancements opened new opportunities to use transcriptomics for studying malaria pathology and epidemiology. Even though in recent years the study of whole parasite transcriptome proved be essential understanding biology there is no compiled up-to-date reference protocol efficient generation data from growing number samples. Here, a comprehensive methodology on how preserve, extract, amplify, sequence full-length mRNA transcripts Plasmodium...
Transfer learning is the method that makes use of knowledge from other fields to solve problems in related fields. It has been shown it can deal with problem insufficient labeled data for new users or tasks brain-computer interface. Domain adaptation one transfer methods which widely used its excellent performance. Here, offline cross-subject EEG signal classification mainly focused on. The unlabeled trials user are classified by using labels source subjects. In this paper, a novel called...
Abstract Genetically identical cells are known to exhibit differential phenotypes in the same environmental conditions. These phenotypic variants linked transcriptional stochasticity and have been shown contribute towards adaptive flexibility of a wide range unicellular organisms. Here, we investigate heterogeneity stochastic gene expression Plasmodium falciparum by performing quasilinear multiple annealing looping based amplification cycles (MALBAC) single cell RNA sequencing blood stage...
BackgroundThe transcriptome of Plasmodium falciparum clinical isolates varies according to strain, mosquito bites, disease severity and history. Therefore, it remains a challenge directly interpret the parasite's transcriptomic information into more general biological signature in natural human malaria infection. These confounding variations can be potentially overcome with parasites derived from controlled-human infection (CHMI) studies.MethodsWe performed CHMI studies healthy...
Convolutional neural networks (CNNs) have been widely utilized for decoding motor imagery (MI) from electroencephalogram (EEG) signals. However, extracting discriminative spatial-temporal-spectral features low signal-to-noise ratio EEG signals remains challenging. This paper proposes MBMSNet , a multi-branch, multi-scale, and multi-view CNN with lightweight temporal attention mechanism EEG-Based MI decoding. Specifically, first extracts representations raw signals, followed by independent...