Search
Research
CD4+ T cells drive an inflammatory, TNF-α/IFN-rich tumor microenvironment responsive to chemotherapyWhile chemotherapy remains the first-line treatment for many cancers, it is still unclear what distinguishes responders from non-responders. Here, we characterize the chemotherapy-responsive tumor microenvironment in mice, using RNA sequencing on tumors before and after cyclophosphamide, and compare the gene expression profiles of responders with progressors.
Research
An expanded phenotype centric benchmark of variant prioritisation toolsIdentifying the causal variant for diagnosis of genetic diseases is challenging when using next-generation sequencing approaches and variant prioritization tools can assist in this task. These tools provide in silico predictions of variant pathogenicity, however they are agnostic to the disease under study. We previously performed a disease-specific benchmark of 24 such tools to assess how they perform in different disease contexts.
The aim of the Computational Biology team is to understand how individual bases in our genome predispose, alter and interact in normal and disease contexts.
Research
Cellular and molecular changes to cortical neurons following low intensity repetitive magnetic stimulation at different frequenciesA systematic comparison of the cellular and molecular changes in neurons in vitro induced by low intensity magnetic stimulation at different frequencies.
Research
Study Protocol for a Stepped-Wedge Cluster (Nested) Randomized Controlled Trial of Antenatal Colostrum Expression (ACE) Instruction in First-Time Mothers: The ACE StudyAlthough many mothers initiate breastfeeding, supplementation with human-milk substitutes (formula) during the birth hospitalization is common and has been associated with early breastfeeding cessation. Colostrum hand expressed in the last few weeks before birth, known as antenatal colostrum expression (ACE), can be used instead of human-milk substitutes. However, evidence is lacking on the efficacy of ACE on breastfeeding outcomes and in non-diabetic mothers.
Research
An evaluation of GPT models for phenotype concept recognitionClinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders field.
People
Timo LassmannFeilman Fellow; Head, Precision Health Research and Head, Computational Biology
Research
A phenotype centric benchmark of variant prioritisation toolsWe hypothesised that the performance of variant prioriisation tools may vary by disease phenotype.
Research
CAGE-defined promoter regions of the genes implicated in Rett SyndromeA comprehensive picture of the regulatory regions of the three genes involved in Rett Syndrome
Research
The psychosocial impact of childhood dementia on children and their parents: a systematic reviewChildhood dementias are a group of rare and ultra-rare paediatric conditions clinically characterised by enduring global decline in central nervous system function, associated with a progressive loss of developmentally acquired skills, quality of life and shortened life expectancy. Traditional research, service development and advocacy efforts have been fragmented due to a focus on individual disorders, or groups classified by specific mechanisms or molecular pathogenesis.