A5066888899- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Cancer Genomics and Diagnostics
- Neural and Behavioral Psychology Studies
- Melanoma and MAPK Pathways
- Cancer Cells and Metastasis
- Cancer Mechanisms and Therapy
- CRISPR and Genetic Engineering
- Lung Cancer Diagnosis and Treatment
- Neuroscience and Neural Engineering
- Acute Myeloid Leukemia Research
- Fungal and yeast genetics research
- Knowledge Management and Sharing
- Biosimilars and Bioanalytical Methods
- Forest Ecology and Biodiversity Studies
- Zebrafish Biomedical Research Applications
- Immune Cell Function and Interaction
- Gaze Tracking and Assistive Technology
- PI3K/AKT/mTOR signaling in cancer
- Genomics and Phylogenetic Studies
- Telomeres, Telomerase, and Senescence
- Open Education and E-Learning
- Fire effects on ecosystems
- Athletic Training and Education
- Cancer Research and Treatments
University of Manchester
2014-2023
University of Sheffield
2018-2023
Cancer Research UK Manchester Institute
2013-2018
Northern Arizona University
2018
BackgroundOver the past decade, numerous reports describe generation and increasing utility of non-small-cell lung cancer (NSCLC) patient-derived xenografts (PDX) from tissue biopsies. While PDX have proven useful for genetic profiling preclinical drug testing, requirement a biopsy limits available patient population, particularly those with advanced oligometastatic disease. Conversely, 'liquid biopsies' such as circulating tumour cells (CTCs) are minimally invasive easier to obtain. Here,...
Abstract Non-coding RNAs (ncRNAs) are frequent and prevalent across the taxa. Although individual non-coding loci have been assigned a function, most uncharacterized. Their global biological significance is unproven remains controversial. Here we investigate role played by ncRNAs in stress response of Schizosaccharomyces pombe . We integrate proteomics RNA sequencing data to identify systematic programme which elevated antisense arising both from 3′-overlapping convergent gene pairs directly...
Patient-derived xenograft (PDX) and circulating tumor cell-derived explant (CDX) models are powerful methods for the study of human disease. In cancer research, these have been applied to multiple questions, including metastatic progression, genetic evolution, therapeutic drug responses. As PDX CDX can recapitulate highly heterogeneous characteristics a patient tumor, as well their response chemotherapy, there is considerable interest in combining them with next-generation sequencing monitor...
Error-related potentials (ErrP) are generated in the brain when humans perceive errors. These ErrP signals can be used to classify actions as erroneous or non-erroneous, using single-trial electroencephalography (EEG). A small number of studies have demonstrated feasibility detection feedback for reinforcement-learning-based brain-computer interfaces (BCI), confirming possibility developing more autonomous BCI. systems could made efficient with specific information about type error that...
Highlights•IRX3 is derepressed in ∼30% of AML, ∼50% T-ALL, and 20% B-ALL•IRX3 suppresses a mature myelomonocytic differentiation program AML•IRX3 impairs T-lineage differentiation, expanding an early T-progenitor population•IRX3 contributes to the block that characteristic diseaseSummaryThe Iroquois homeodomain transcription factor gene IRX3 expressed developing nervous system, limb buds, heart, transcript levels specify obesity risk humans. We now report functional role for human acute...
Studies have established that it is possible to differentiate between the brain's responses observing correct and incorrect movements in navigation tasks. Furthermore, these classifications can be used as feedback for a learning-based BCI, allow real or virtual robots find quasi-optimal routes target. However, when navigating important not only know we are moving right direction towards target, but also reached it. We asked participants observe robot performing 1-dimensional task. recorded...
A kinase domain–focused functional genomic screen reveals loss-of-function mutations in a JNK pathway gastric cancer.
Successful campus-community partnerships provide universities enhanced visibility in the community, and offer university students opportunities to engage real-world educational experiences through service learning internships. In addition, participating community agency/program benefits from an infusion of ambitious that can help further its mission, increase reach. Within areas health promotion wellness, have become essential component delivery prevention services development public...
When humans recognise errors, either committed by themselves or observed, error-related potentials (ErrP) are produced in the brain. Recently, a few studies have shown that it is possible to differentiate between ErrPs generated for errors of different direction, severity, type (e.g., response interaction errors). However, real-world scenarios, cannot always be delineated these metrics. As such, important consider whether similar all aforementioned aspects can classified against each other...
Abstract Protein kinase C (PKC) remains an elusive chemotherapeutic target despite decades of research. To determine whether PKC isozymes function as oncogenes or tumor suppressors, we analyzed 8% mutations identified in human cancers. Surprisingly, the majority were loss-of-function and none activating. Loss-of-function found all subgroups acted by impeding 2nd messenger binding preventing processing phosphorylations. Bioinformatic analysis revealed that might cooperate with co-occurring...
Studies have shown the possibility of using brain signals that are automatically generated while observing a navigation task as feedback for semi-autonomous control robot. This allows robot to learn quasi-optimal routes intended targets. We combined subclassification two different types navigational errors, with correct actions, create 4-way classification strategy, providing detailed information about type action performed. used 2-stage stepwise linear discriminant analysis approach, and...
Abstract Introduction: For early stage NSCLC, surgery with curative intent is the most common therapeutic option; however, tumour recurrence occurs in approximately 50% of cases and commonly at distant sites. Analysis CTCs represents a potential means tracking cancer cells from primary has to provide insights into metastatic process mechanisms resistance therapy linking cell phenotype genotype. Within TRACERx study, we are carrying out whole genome analysis single obtained NSCLC patients...
Abstract A major challenge in cancer genomics is identifying driver mutations from the large number of neutral passenger within a given tumor. Here, we utilize motifs critical for kinase activity to functionally filter genomic data identify that would otherwise be lost mutational noise. In first step our screen, define putative tumor suppressing kinome by kinases with truncation occurring or before domain. We aligned these sequences and, utilizing Cancer Cell Line Encyclopedia and The Genome...
Abstract Most mental disorders are characterised by impaired cognitive function and behaviour control. Their often chronic reoccurring nature the lack of efficient therapies necessitate development new treatment strategies. Brain-computer interfaces, equipped with multiple sensing stimulation abilities, offer a toolbox, whose suitability for diagnosis therapy has not yet been explored. Here, we developed soft multimodal neuroprosthesis to measure modulate prefrontal neurophysiological...
Abstract Lung cancer is one of the major causes deaths worldwide and only 30% patients survive disease for at least year after diagnosis. Patients are often too frail to receive systemic chemotherapy there an urgent need less toxic, efficacious, targeted therapies. Despite recent efforts with large-scale genomics data we still lack knowledge about driver mutations majority lung cancers. Increasingly, researchers using online genomic databases identify novel targets investigate. A comparison...
Human trust plays a crucial role in Human-Machine Interactions (HMIs) within autonomous systems. This paper delves into the factors that influence human machines, including varying error rates and types made by machine, as well human's ability to intervene rectify errors. To explore these factors, we conducted three scenarios involving simulated claw robot navigating through multiple objects detect locate target object. The first scenario examined effect of changing on machine. In second...