Data sharing in circadian rhythm and mental health research: current status, challenges, recommendations and future directions.

Data sharing is a cornerstone of modern scientific research, playing a critical role in fostering greater collaboration, enhancing reproducibility, transparency and efficiency of scientific discoveries, and integrating diverse data sources. In circadian rhythm research, data sharing is particularly important due to the complexity and heterogeneity of the data, which includes molecular profiles, physiological measurements, clinical data and sensor-based data. UK research funders, such as Medical Research Council, Wellcome Trust and UK Research and Innovation, have established data-sharing policies to promote open science and enhance research transparency.

Characterization of DNA methylation reader proteins in .

In plants, cytosine DNA methylation (mC) is largely associated with transcriptional repression of transposable elements, but it can also be found in the body of expressed genes, referred to as gene body methylation (gbM). gbM is correlated with ubiquitously expressed genes; however, its function, or absence thereof, is highly debated. The different outputs that mC can have raise questions as to how it is interpreted-or read-differently in these sequence and genomic contexts.

ALBA proteins facilitate cytoplasmic YTHDF-mediated reading of m6A in Arabidopsis.

N6-methyladenosine (mA) exerts many of its regulatory effects on eukaryotic mRNAs by recruiting cytoplasmic YT521-B homology-domain family (YTHDF) proteins. Here, we show that in Arabidopsis thaliana, the interaction between mA and the major YTHDF protein ECT2 also involves the mRNA-binding ALBA protein family. ALBA and YTHDF proteins physically associate via a deeply conserved short linear motif in the intrinsically disordered region of YTHDF proteins and their mRNA target sets overlap, with ALBA4 binding sites being juxtaposed to mA sites.

Accounting for the impact of genotype and environment on variation in leaf respiration of wheat in Mexico and Australia.

An approach to improving radiation use efficiency (RUE) in wheat is to screen for variability in rates of leaf respiration in darkness (Rdark). We used a high-throughput system to quantify variation in Rdark among a diverse range of spring wheat genotypes (301 lines) grown in two countries (Mexico and Australia) and two seasons (2017 and 2018), and in doing so quantify the relative importance of genotype (G) and environment (E) in influencing variations in leaf Rdark. Through careful design, residual (unexplained) variation represented less than 10% of the total observed.

Daily life in the Open Biologist's second job, as a Data Curator.

Background: Data reusability is the driving force of the research data life cycle. However, implementing strategies to generate reusable data from the data creation to the sharing stages is still a significant challenge. Even when datasets supporting a study are publicly shared, the outputs are often incomplete and/or not reusable.