The WAVE regulatory complex interacts with Boc and is required for Shh-mediated axon guidance.

During development, Shh attracts axons of spinal cord commissural neurons to the floor plate. Shh-mediated attraction of commissural axons requires the receptor Boc. How Boc regulates cytoskeletal changes in growth cones in response to Shh is not fully understood.

How resilient are farmers in Africa to climate shocks? A case study of Nigerian farmers.

Agriculture in sub-Saharan Africa remains highly vulnerable to climate related shocks, since most production relies on rainfall. It is important to accurately measure the resilience of farmers and farming communities to weather variabilities, for both government policy and farmer management responses. This paper develops a Resilience Index Framework, which is further used to assess the resilience of farmers to climate shocks in Nigeria.

Is the new angel better than the old devil? Challenges and opportunities in CD47- SIRPα-based cancer therapy.

The efficacy of immunotherapies is limited due to the impenetrable nature of the tumor microenvironment (TME). The TME of many tumors is immune-privileged, thus allowing them to evade host immunosurveillance. One mechanism through which this occurs is via the overexpression of CD47, a 'don't eat me' protein that can interact with SIRPα on myeloid cells to suppress their phagocytic action.

Binding of SARS-CoV-2 protein ORF9b to mitochondrial translocase TOM70 prevents its interaction with chaperone HSP90.

The emergence of the COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), remains a great threat to global health. ORF9b, an important accessory protein of SARS-CoV-2, plays a critical role in the viral host interaction, targeting TOM70, a member of the mitochondrial translocase of the outer membrane complex. The assembly between ORF9b and TOM70 is implicated in disrupting mitochondrial antiviral signaling, leading to immune evasion.

Spatial regression and geostatistics discourse with empirical application to precipitation data in Nigeria.

In this study, we propose a robust approach to handling geo-referenced data and discuss its statistical analysis. The linear regression model has been found inappropriate in this type of study. This motivates us to redefine its error structure to incorporate the spatial components inherent in the data into the model.