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People with Cerebral Palsy and Their Family's Preferences about Genomics Research

The goal of this study was to understand individuals with cerebral palsy (CP) and their family's attitudes and preferences to genomic research, including international data sharing and biobanking.

A common genetic variant of a mitochondrial RNA processing enzyme predisposes to insulin resistance

Mitochondrial energy metabolism plays an important role in the pathophysiology of insulin resistance. Recently, a missense N437S variant was identified in the MRPP3 gene, which encodes a mitochondrial RNA processing enzyme within the RNase P complex, with predicted impact on metabolism. We used CRISPR-Cas9 genome editing to introduce this variant into the mouse Mrpp3 gene and show that the variant causes insulin resistance on a high-fat diet.

Longitudinal Profiling of the Human Milk Microbiome from Birth to 12 Months Reveals Overall Stability and Selective Taxa-Level Variation

Human milk bacteria contribute to gut microbiome establishment in breastfed infants. Although breastfeeding is recommended throughout infancy, temporal variation in the milk microbiome-particularly beyond solid food introduction-remains understudied. We analyzed 539 milk samples from 83 mother-infant dyads between 1 week and 12 months postpartum using full-length 16S rRNA gene sequencing.

Single-cell data combined with phenotypes improves variant interpretation

Whole genome sequencing offers significant potential to improve the diagnosis and treatment of rare diseases by enabling the identification of thousands of rare, potentially pathogenic variants. Existing variant prioritisation tools can be complemented by approaches that incorporate phenotype specificity and provide contextual biological information, such as tissue or cell-type specificity. 

Type-2 diabetes epigenetic biomarkers: present status and future directions for global and Indigenous health

Type-2 diabetes is a systemic condition with rising global prevalence, disproportionately affecting Indigenous communities worldwide. Recent advances in epigenomics methods, particularly in DNA methylation detection, have enabled the discovery of associations between epigenetic changes and Type-2 diabetes. In this review, we summarise DNA methylation profiling methods, and discuss how these technologies can facilitate the discovery of epigenomic biomarkers for Type-2 diabetes. 

The histone demethylase dLsd1 regulates organ size by silencing transposable elements

The specific role of chromatin modifying factors in the timely execution of transcriptional changes in gene expression to regulate organ size remains largely unknown. Here, we report that in Drosophila melanogaster depletion of the histone demethylase dLsd1 results in the reduction of wing size. dLsd1 depletion affects cell proliferation and causes an increase in DNA damage and cell death.

Cancer Cell Biology Research in an Indigenous Childhood Cancer Context

In Australia, cancer medicine is increasingly guided by our expanding knowledge of cancer genomics (the study of genetic information) and biology. Personalized treatments and targets are often defined by an individual’s genetic profile—known as precision cancer medicine. The translation of genomics-guided precision therapeutics from bench to bedside is beginning to produce real clinical benefits for Australians living with cancer. 

The Power of Genomics

Due to an advanced understanding of cancer biology and the rapid development of genomic technologies, cancer has shifted from 200 diseases based on pathology (i.e., what a tumor looks like under the microscope) to thousands of diseases based on molecular tumor profiles (i.e., what a tumor looks like when its altered genome is interrogated). Most cancers arise from alterations to the genome, including changes in the number or structure of chromosomes and variations in a single building block of the genetic code.

Future-proofing genomic data and consent management: a comprehensive review of technology innovations

Genomic information is increasingly used to inform medical treatments and manage future disease risks. However, any personal and societal gains must be carefully balanced against the risk to individuals contributing their genomic data. Expanding our understanding of actionable genomic insights requires researchers to access large global datasets to capture the complexity of genomic contribution to diseases.

AI succeeds in diagnosing rare diseases

Timo Lassmann BSc (Hons) MSc PhD Feilman Fellow; Head, Precision Health Research and Head, Translational Intelligence timo.lassmann@thekids.org.au