DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data.

Background: Metabolomics is a high-throughput technology that measures small molecule metabolites in cells, tissues or biofluids. Analysis of metabolomics data is a multi-step process that involves data processing, quality control and normalization, followed by statistical and bioinformatics analysis. The latter step often involves pathway analysis to aid biological interpretation of the data.

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data.

A significant challenge in the analysis of omics data is extracting actionable biological knowledge. Metabolomics is no exception. The general problem of relating changes in levels of individual metabolites to specific biological processes is compounded by the large number of unknown metabolites present in untargeted liquid chromatography-mass spectrometry (LC-MS) studies.

Engaging European society at the forefront of cancer research and care: How discussions at the 5 Gago Conference on European Science policy led to the Heidelberg Manifesto.

European cancer research stakeholders met in October 2022 in Heidelberg, Germany, at the 5 Gago conference on European Cancer Policy, to discuss the current cancer research and cancer care policy landscape in Europe. Meeting participants highlighted gaps in the existing European programmes focusing on cancer research, including Europe's Beating Cancer Plan (EBCP), the Mission on Cancer (MoC), Understanding Cancer (UNCAN.eu), and the joint action CRANE, and put forward the next priorities, in the form of the Heidelberg Manifesto for cancer research.

Odor Threshold Differs for Some But Not All Odorants Between Older and Younger Adults.

Objectives: Olfactory function deteriorates with age, and definitive mechanisms by which this decline occurs are likely multifactorial. The present study, conducted on a large cohort of healthy participants, aimed to investigate whether odor thresholds would differ for variable odors with different physicochemical (e.g.

Human cortical interneurons optimized for grafting specifically integrate, abort seizures, and display prolonged efficacy without over-inhibition.

Previously, we demonstrated the efficacy of human pluripotent stem cell (hPSC)-derived GABAergic cortical interneuron (cIN) grafts in ameliorating seizures. However, a safe and reliable clinical translation requires a mechanistic understanding of graft function, as well as the assurance of long-term efficacy and safety. By employing hPSC-derived chemically matured migratory cINs in two models of epilepsy, we demonstrate lasting efficacy in treating seizures and comorbid deficits, as well as safety without uncontrolled growth.