Publications by authors named "J Gunaratne"

N,2'-O-dimethyladenosine (mAm) is an abundant mRNA modification that impacts multiple diseases, but its function remains controversial because the mAm reader is unknown. Using quantitative proteomics, we identified transcriptional terminator premature cleavage factor II (PCF11) as a mAm-specific reader in human cells. Direct quantification of mature versus nascent RNAs reveals that mAm does not regulate mRNA stability but promotes nascent transcription.

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Background: Ischemic stroke patients are more prone to developing another cardiovascular event.

Aim: This study aims to examine potential biological predispositions to cardiovascular recurrence in patients with ischemic stroke.

Design: Human and preclinical studies.

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Comprehensive biomedical proteomic datasets are accumulating exponentially, warranting robust analytics to deconvolute them for identifying novel biological insights. Here, we report a strategic machine learning (ML)-based feature extraction workflow that was applied to unveil high-performing protein markers for high-grade serous ovarian carcinoma (HGSOC) from publicly available ovarian cancer tissue and serum proteomics datasets. Diagnosis of HGSOC, an aggressive form of ovarian cancer, currently relies on diagnostic methods based on tissue biopsy and/or non-specific biomarkers such as the cancer antigen 125 (CA125) and human epididymis protein 4 (HE4).

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Patients with IDH-wild-type glioblastomas have a poor five-year survival rate along with limited treatment efficacy due to immune cell (glioma-associated microglia and macrophages) infiltration promoting tumour growth and resistance. To enhance therapeutic options, our study investigated the unique RNA-RNA-binding protein complex LOC-DHX15. This complex plays a crucial role in driving immune cell infiltration and tumour growth by establishing a feedback loop between cancer and immune cells, intensifying cancer aggressiveness.

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