Biology subjects

Zyoud, A.

Publications and source records attributed to Zyoud, A..

3 recordsLinked to original sources

bioRxiv2026

Loss of piR-hsa-7221 regulation drives the expression of the LINE1-derived oncogenic lncRNA CASC9 in testicular cancer.

Testicular germ cell tumours (TGCTs) are the most common cancer in young males and are considered curable if they respond to platinum-based therapy. However, a significant number of refractory patients develop metastatic disease and the lack targeted therapy remains an unmet clinical need. To identify novel therapeutic targets, we investigated the epigenetic instability of TGCTs and characterised novel oncogenic gene networks regulated by transposable elements (TEs)-derived long noncoding RNAs (lncRNAs) which are controlled by PIWI-interacting RNAs (piRNAs). A TGCT-specific piRNA signature was identified by bioinformatics analysis of the The Cancer Genome Atlas (TCGA) TGCT dataset and analysis of piRNAs mapped to active LINE1 sequences identified piR-hsa-7221 as a transcriptional regulator of the lncRNA CASC9 in seminoma tumours. We show that piR-hsa-7221 binds to a complementary LINE1 LIPA5 sequence and regulates the expression of CASC9 driven by the LINE1 antisense promoter. Therefore, loss of piR-hsa-7221 drives the upregulation and oncogenic activity of CASC9, which as is impaired after silencing, leading to reduced cancer cell proliferation and invasion, as well as increased sensitivity to cisplatin treatment. These effects are associated with the regulation of the cell cycle, developmental pathways, extracellular matrix, hormone metabolism and immune responses, highlighting WNT signalling as a significant downstream target. Therefore, this novel epigenetic mechanism provides new insights into the role of piRNA-mediated regulation of oncogenic lncRNAs derived from active transposable elements. Importantly, the identification of piR-hsa-7221 and the lncRNA CASC9, together with the associated gene networks highlights novel therapeutic targets for the treatment of seminoma TGCTs.

cancer biology↗

bioRxiv2023

Mobilisation and analyses of publicly available SARS-CoV-2 data for pandemic responses

The COVID-19 pandemic has seen large-scale pathogen genomic sequencing efforts, becoming part of the toolbox for surveillance and epidemic research. This resulted in an unprecedented level of data sharing to open repositories, which has actively supported the identification of SARS-CoV-2 structure, molecular interactions, mutations and variants, and facilitated vaccine development and drug reuse studies and design. The European COVID-19 Data Platform was launched to support this data sharing, and has resulted in the deposition of several million SARS-CoV-2 raw reads. In this paper we describe (1) open data sharing, (2) tools for submission, analysis, visualisation and data claiming (e.g. ORCiD), (3) the systematic analysis of these datasets, at scale via the SARS-CoV-2 Data Hubs as well as (4) lessons learned. As a component of the Platform, the SARS-CoV-2 Data Hubs enabled the extension and set up of infrastructure that we intend to use more widely in the future for pathogen surveillance and pandemic preparedness.

bioinformatics↗

bioRxiv2020

Reproducibility in systems biology modelling

The reproducibility crisis has emerged as an important concern across many fields of science including life science, since many published results failed to reproduce. Systems biology modelling, which involves mathematical representation of biological processes to study complex system behaviour, was expected to be least affected by this crisis. While lack of reproducibility of experimental results and computational analysis could be a repercussion of several compounded factors, it was not fully understood why systems biology models with well-defined mathematical expressions fail to reproduce and how prevalent it is. Hence, we systematically attempted to reproduce 455 kinetic models of biological processes published in peer-reviewed research articles from 152 journals; which is collectively a work of about 1400 scientists from 49 countries. Our investigation revealed that about half (49%) of the models could not be reproduced using the information provided in the published manuscripts. With further effort, an additional 12% of the models could be reproduced either by empirical correction or support from authors. The other 37% remained non-reproducible models due to missing parameter values, missing initial concentration, inconsistent model structure, or a combination of these factors. Among the corresponding authors of the non-reproducible model we contacted, less than 30% responded. Our analysis revealed that models published in journals across several fields of life science failed to reproduce, revealing a common problem in the peer-review process. Hence, we propose an 8-point reproducibility scorecard that can be used by authors, reviewers and journal editors to assess each model and address the reproducibility crisis.

systems biology↗