Developmental and therapeutic implications of IL4ra expression for rhabdomyosarcoma.

Rhabdomyosarcoma (RMS) is a solid tumor whose metastatic progression can be accelerated through interleukin-4 receptor alpha (Il4ra) mediated interaction with normal muscle stem cells (satellite cells). To understand the function of Il4ra in this tumor initiation phase of RMS, we conditionally deleted Il4ra in genetically-engineered RMS mouse models. Nullizygosity of Il4ra altered the latency, site and/or stage distribution of RMS tumors compared to IL4RA intact models.

Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia.

Background: Graph representational learning can detect topological patterns by leveraging both the network structure as well as nodal features. The basis of our exploration involves the application of graph neural network architectures and machine learning to resting-state functional Magnetic Resonance Imaging (rs-fMRI) data for the purpose of detecting schizophrenia. Our study uses single-site data to avoid the shortcomings in generalizability of neuroimaging data obtained from multiple sites.

Analysis of RNA-Seq data using self-supervised learning for vital status prediction of colorectal cancer patients.

Background: RNA sequencing (RNA-Seq) is a technique that utilises the capabilities of next-generation sequencing to study a cellular transcriptome i.e., to determine the amount of RNA at a given time for a given biological sample.

Synthesis, crystal structure and Hirshfeld surface analysis of -(4-fluoro-phen-yl)--isopropyl-2-(methyl-sulfon-yl)acetamide.

The synthesis and crystal structure of the title compound, CHFNOS, which is related to the herbicide flufenacet, are presented. The dihedral angle between the amide group and the fluorinated benzene ring is 87.30 (5)° and the N-C-C-S torsion angle defining the orientation of the methyl-sulfonyl substituent relative to the amide group is 106.