Unveiling the hidden codes: a review of variability and ecological epigenetics after 20 years of studies on potato.

The cultivated potato Solanum tuberosum subsp. tuberosum L. retains an important reservoir of genetic diversity in its secondary gene pool.

Data Hazards as An Ethical Toolkit for Neuroscience.

Unlabelled: The Data Hazards framework (Zelenka, Di Cara, & Contributors, 2024) is intended to encourage thinking about the ethical implications of data science projects. It takes the form of community-designed data hazard labels, similar to warning labels on chemicals, that can encourage reflection and discussion on what ethical risks are associated with a project and how they can be mitigated. In this article, we explain how the Data Hazards framework can apply to neuroscience.

Understanding and supporting the mental health and professional quality of life of academic mental health researchers: results from a cross-sectional survey.

Background: Academic mental health research is critical to understanding, treating and preventing poor mental health. Researchers often have their own lived experience of a mental health condition, but despite potential exposure to distressing research material, the mental health and work-related quality of life of mental health researchers is not systematically supported in UK universities. This study aimed to quantitatively characterise the mental health experiences, professional quality of life and workplace support needs of this group.

PARP inhibitor-based treatment in metastatic, castration-resistant prostate cancer (mCRPC): A systematic review and meta-analysis.

Background: We present a systematic review and meta-analysis of randomized clinical trials (RCTs) with PARPi either as monotherapy or in combination with an androgen receptor-targeted agent (ARTA) in first- and second-line settings.

Methods: Primary endpoints are radiographic progression free survival (rPFS) and overall survival (OS) in patients with mCRPC and either unselected, homologous recombination repair wild-type (HRR-), homologous recombination repair mutated (HRR+) or with BRCA1, BRCA2, or ATM mutation. The effect of PARPi + ARTA in the second-line setting is also explored.

Data hazards in synthetic biology.

Data science is playing an increasingly important role in the design and analysis of engineered biology. This has been fueled by the development of high-throughput methods like massively parallel reporter assays, data-rich microscopy techniques, computational protein structure prediction and design, and the development of whole-cell models able to generate huge volumes of data. Although the ability to apply data-centric analyses in these contexts is appealing and increasingly simple to do, it comes with potential risks.