Exploring foci of
2025-01-31
GBMPurity: A machine learning tool for estimating glioblastoma tumor purity from bulk RNA-sequencing data
2025-01-31 • Morgan Thomas, Shoaib Ajaib, Georgette Tanner, Andrew J. Bulpitt, Lucy F. Stead
Abstract Background Glioblastoma (GBM) presents a significant clinical challenge due to its aggressive nature and extensive heterogeneity. Tumor purity, the proportion of malignant cells within a tumor, is an important covariate for understanding the disease, having direct clinical relevance or obscuring signal of the malignant portion in molecular analyses of bulk samples. However, current methods for estimating tumor purity are nonspecific and technically demanding. Therefore, we aimed to build a reliable and ac…
Machine Press
Machine Vision
Self-Replicating Machine
Bertha (Tunnel Boring Machine)
Machine Gun Kelly Discography
Nsv Machine Gun
Claw Machine
The Incredible Machine
M1941 Johnson Machine Gun
Exploring foci of
2024-03-06
Single-cell nanobiopsy enables multigenerational longitudinal transcriptomics of cancer cells
2024-03-06 • Fabio Marcuccio, Chalmers Chau, Georgette Tanner, Marilena Elpidorou, Martina A. Finetti, Shoaib Ajaib, Morag Taylor, Carolina Lascelles, Ian Carr,...
Single-cell RNA sequencing has revolutionized our understanding of cellular heterogeneity, but routine methods require cell lysis and fail to probe the dynamic trajectories responsible for cellular state transitions, which can only be inferred. Here, we present a nanobiopsy platform that enables the injection of exogenous molecules and multigenerational longitudinal cytoplasmic sampling from a single cell and its progeny. The technique is based on scanning ion conductance microscopy (SICM) and, as a proof of conce…
Single-Cell Transcriptomics
Single-Cell Sequencing
Exploring foci of
2024-07-16
GBMPurity: A Machine Learning Tool for Estimating Glioblastoma Tumour Purity from Bulk RNA-seq Data
2024-07-16 • Morgan Thomas, Shoaib Ajaib, Georgette Tanner, Andrew J. Bulpitt, Lucy F. Stead
Abstract Background Glioblastoma (GBM) presents a significant clinical challenge due to its aggressive nature and extensive heterogeneity. Tumour purity, the proportion of malignant cells within a tumour, is an important covariate for understanding the disease, having direct clinical relevance or obscuring signal of the malignant portion in molecular analyses of bulk samples. However, current methods for estimating tumour purity are non-specific, unreliable or technically demanding. Therefore, we aimed to build a …
Machine Press
Machine Vision
Self-Replicating Machine
Bertha (Tunnel Boring Machine)
Pkp Pecheneg Machine Gun
Quantum Machine Learning
Machine Identification Code
Vickers Machine Gun
Jacquard Machine
Exploring foci of
2023-02-03
IDHwt glioblastomas can be stratified by their transcriptional response to standard treatment, with implications for targeted therapy
2023-02-03 • Georgette Tanner, Rhiannon Barrow, Martina A. Finetti, Shoaib Ajaib, Nazia Ahmed, Steven Pollock, Nora Rippaus, Alexander Bruns, Khaja Syed, James...
Abstract Glioblastoma (GBM) brain tumours lacking IDH1 mutations (IDHwt) have the worst prognosis of all brain neoplasms. Patients receive surgery and chemoradiotherapy but tumours almost always fatally recur. Using RNAseq data from 107 pairs of pre- and post-standard treatment locally recurrent IDHwt GBM tumours, we identified two responder subtypes based on therapy-driven changes in gene expression. In two thirds of patients a specific subset of genes is up-regulated from primary to recurrence (Up responders) an…
Stratified Squamous Epithelium
Stratified Sampling
Stratified Charge Engine
Exploring foci of
2023-09-16
PREDICTING GLIOBLASTOMA GENE EXPRESSION THERAPY RESPONSE WITH MACHINE LEARNING
2023-09-16 • Morgan Thomas, Stelios Theophanous, Isabelle Whittle, Martina Finetti, Steven Pollock, Nazia Ahmed, Georgette Tanner, Aruna Chakrabarty, Azzam Isma...
Abstract AIMS The rapid recurrence of therapy-resistant glioblastoma leaves patients with a dismal 2-year survival rate of just 16%, highlighting the need to develop treatments that combat or prevent glioblastoma recurrence. Recently, glioblastoma patients have been stratified by their gene expression response to therapy. Specifically, genes with JARID2 binding sites in their promoter (JBS-genes) either become up- or down-regulated on progression from the primary to the recurrent tumour. Importantly, these two res…
Gene Haas
Mcat (Gene)
Gene Saks
Gene Gotti
Gene Wolfe
Gene Polymorphism
Calcitonin Gene-Related Peptide
Gene–Environment Interaction
Braf (Gene)