Differential Abundance of DNA Damage Sensors and Innate Immune Signaling Proteins in Inositol Polyphosphate 4-Phosphatase Type II-Negative Triple-Negative Breast Cancer Classified by Immunotype.

The influence of neoplastic cells on the tumor microenvironment is poorly understood. In this study, eight patient samples representing two immunotypes of triple-negative breast cancer (TNBC), defined by quantitative histologic criteria as T-cell desert and T-cell infiltrated (TCI), were compared via label-free quantitative protein mass spectrometry of material extracted directly from targeted regions of formalin-fixed, paraffin-embedded tissue sections. Of 2934 proteins quantitated, 439 were significantly differentially abundant, among which 361 were overabundant in TCI-TNBC.

Characterization of a chromatin-associated TCF7L1 complex in human embryonic stem cells.

Human embryonic stem cells (hESCs) resemble the pluripotent epiblast cells found in the early postimplantation human embryo and represent the "primed" state of pluripotency. One factor that helps primed pluripotent cells retain pluripotency and prepare genes for differentiation is the transcription factor TCF7L1, a member of a small family of proteins known as T cell factors/Lymphoid enhancer factors (TCF/LEF) that act as downstream components of the WNT signaling pathway. Transcriptional output of the WNT pathway is regulated, in part, by the activity of TCF/LEFs in conjunction with another component of the WNT pathway, β-CATENIN.

Combination of deep XLMS with deep learning reveals an ordered rearrangement and assembly of a major protein component of the vaccinia virion.

An outstanding problem in the understanding of poxvirus biology is the molecular structure of the mature virion. Via deep learning methods combined with chemical cross-linking mass spectrometry, we have addressed the structure and assembly pathway of P4a, a key poxvirus virion core component.

Kinematic cues in driver-pedestrian communication to support safe road crossing.

Objective: Right-of-way negotiation between drivers and pedestrians often relies on explicit (e.g., waving) and implicit (e.

Driver response and recovery following automation initiated disengagement in real-world hands-free driving.

Objective: Advanced driver assistance systems are increasingly available in consumer vehicles, making the study of drivers' behavioral adaptation and the impact of automation beneficial for driving safety. Concerns over driver's being out-of-the-loop, coupled with known limitations of automation, has led research to focus on time-critical, system-initiated disengagements. This study used real-world data to assess drivers' response to, and recovery from, automation-initiated disengagements by quantifying changes in visual attention, vehicle control, and time to steady-state behaviors.