Multiple myeloma associated long non-coding RNA PLUM confers chemoresistance by enhancing PRC2 mediated UPR pathway activation.

Multiple myeloma (MM) is the second most common hematological malignancy that displays diverse genetic heterogeneity leading to treatment resistance. Recurrent mutations causing hyperactivation of the non-canonical NF-ĸB pathway are highly prevalent in relapsed, refractory MM patients, but the precise mechanisms driving chemoresistance are poorly understood. Here, we identify a long non-coding RNA termed PLUM, that is overexpressed in NF-ĸB mutant high-risk MM subtypes and patients who are refractory to VRd treatment regimen.

Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction.

The 3D structure of RNA critically influences its functionality, and understanding this structure is vital for deciphering RNA biology. Experimental methods for determining RNA structures are labour-intensive, expensive, and time-consuming. Computational approaches have emerged as valuable tools, leveraging physics-based-principles and machine learning to predict RNA structures rapidly.

EpitopeVec: linear epitope prediction using deep protein sequence embeddings.

Motivation: B-cell epitopes (BCEs) play a pivotal role in the development of peptide vaccines, immuno-diagnostic reagents and antibody production, and thus in infectious disease prevention and diagnostics in general. Experimental methods used to determine BCEs are costly and time-consuming. Therefore, it is essential to develop computational methods for the rapid identification of BCEs.

Hepatitis C reference viruses highlight potent antibody responses and diverse viral functional interactions with neutralising antibodies.

Objective: Neutralising antibodies are key effectors of infection-induced and vaccine-induced immunity. Quantification of antibodies' breadth and potency is critical for understanding the mechanisms of protection and for prioritisation of vaccines. Here, we used a unique collection of human specimens and HCV strains to develop HCV reference viruses for quantification of neutralising antibodies, and to investigate viral functional diversity.