The new investment will back development of collaborative publishing tools and services for the benefit of the global scholarly community.

Complementary biochemical and structural findings reveal molecular principles underlying substrate selectivity by a model hyaluronan synthase.

Evidence is provided suggesting that aggregate neural activity at an early stage of visual processing (V1) can directly contribute to perceptual decisions in humans.

Single-cell transcriptomics data from mouse bone-relevant cells was used to inform human bone mineral density genome-wide association studies and prioritize genetic targets with potential causal roles ...

Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...

Mammalian oocytes utilize a conserved combination of cell cycle control, cytoskeletal organization, and polarity pathways that are fundamentally shared with other vertebrates and invertebrates.

Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, United States College of Health Solutions, Arizona State University, Phoenix, United States ...

It provides convincing evidence that demographic-specific functional templates improve functional neuroimaging studies that use hyperalignment. This study will be of interest to cognitive ...

Y-complex nucleoporin, Nup107, can regulate ecdysone production by affecting the transcription of Halloween genes and levels of RTK receptor, torso, for the metamorphic transition from larva to pupa.

Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States Division of Infectious Disease and Vaccinology, ...

This useful study supplements previous publications of willed attention by addressing a frontoparietal network that supports internal goal generation. The evidence is solid in analyzing two datasets ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...