Among the major classes of RNAs in the cell, tRNAs remain the most difficult to characterize via deep sequencing approaches, as tRNA structure and nucleotide modifications can each interfere with cDNA ...

Cyclin D1–CDK4/6 phosphorylates GTSE1 in cancer cells, preventing its degradation and sustaining high levels across the cell cycle, which enhances proliferation and correlates with poor prognosis.

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

For example, the tendency for behavioural responses in a range of cognitive domains to oscillate over time has been studied extensively. Recently, however, the phenomenon of behavioural oscillations ...

Most SSMs can be broken down into two key components: inputs and integrators ( Bogacz et al., 2006 ). Inputs encode the drift rate – the rate of evidence accumulation – and integrators encode the ...

When navigating environments with changing rules, human brain circuits flexibly adapt how and where we retain information to help us achieve our immediate goals.

These events are associated with innate training and can have long-term impacts on hematopoietic stem and progenitor cell (HSPC) development but can also compromise their function. While many ...

This study presents a valuable finding on the direct cytotoxic effects of DuoHexaBody-CD37 in diffuse large B-cell lymphoma, mediated via SHP-1 activation and antibody clustering, independent of ...

eLife is a non-profit organisation inspired by research funders and led by scientists. Our mission is to help scientists accelerate discovery by operating a platform for research communication that ...

eLife is a non-profit organisation inspired by research funders and led by scientists. Our mission is to help scientists accelerate discovery by operating a platform for research communication that ...

Diane M Harper, MD, MPH, MS, completed her undergraduate and graduate degrees at the Massachusetts Institute of Technology in Cambridge, Massachusetts, in the fields of Chemical Engineering and ...

The human brain is thought to constantly predict future words during language processing. Recently, a new approach to investigating linguistic predictions emerged which aims to capture predictive ...