Global biodiversity is declining at an unprecedented rate, with agriculture as a major driver. There is mounting evidence that intercropping can increase insect biodiversity while maintaining or ...
Why do authors choose the eLife Model? We spoke to Hironori Funabiki at the Rockefeller University to learn his reasons.
The authors examine the role of Numb, a Notch inhibitor, in intestinal stem cell self-renewal in Drosophila during homeostasis and regeneration. This is an important study providing evidence of a Numb ...
Mackie and colleagues present a valuable comparison of lateralized gustation in two well-studied nematodes. The evidence they present that ASEL/R lateralization exists and is achieved by different ...
This is a useful study that seeks to address the role of the TET family of DNA demethylation enzymes in pancreatic beta cell senescence in the context of type 2 diabetes (T2DM). Although the concepts ...
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 ...
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 ...
As Editor-in-Chief, Behrens is responsible for the editorial direction and vision of the journal, providing leadership to ...
Unveiling the circuit organization and functional roles of endopiriform neurons projecting to the ventral CA1.
This valuable study tests a methodology for the discovery of new honey bee-repellent odorants via machine learning. The conclusions of the study are supported by solid evidence, with predicted ...