A high-throughput platform for single-molecule tracking identifies drug interaction and cellular mechanisms.

The regulation of cell physiology depends largely upon interactions of functionally distinct proteins and cellular components. These interactions may be transient or long-lived, but often affect protein motion. Measurement of protein dynamics within a cellular environment, particularly while perturbing protein function with small molecules, may enable dissection of key interactions and facilitate drug discovery; however, current approaches are limited by throughput with respect to data acquisition and analysis.

Finding predictive factors of exercise adherence in randomized controlled trials on low back pain: an individual data re-analysis using machine learning techniques.

Objective: To identify predictors of adherence in supervised and self-administered exercise interventions for individuals with low back pain.

Design: Cohort study.

Setting: Rehabilitation.

Disentangling Sources of Momentum Fluctuations in Xe+Xe and Pb+Pb Collisions with the ATLAS Detector.

High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

Affinity-Enriched Plasma Proteomics for Biomarker Discovery in Abdominal Aortic Aneurysms.

Abdominal aortic aneurysm (AAA) is a life-threatening condition characterized by the weakening and dilation of the abdominal aorta. Few diagnostic biomarkers have been proposed for this condition. We performed mass spectrometry-based proteomics analysis of affinity-enriched plasma from 45 patients with AAA and 45 matched controls to identify changes to the plasma proteome and potential diagnostic biomarkers.

Human neural stem cells directly programmed from peripheral blood show functional integration into the adult mouse brain.

Transplantation of induced pluripotent stem cell-derived neural cells represents a promising strategy for treating neurodegenerative diseases. However, reprogramming of somatic cells and their subsequent neural differentiation is complex and time-consuming, thereby impeding autologous applications. Recently, direct transcription factor-based conversion of blood cells into induced neural stem cells (iNSCs) has emerged as a potential alternative.