Experimental equation of state in proton-proton and proton-antiproton collisions and phase transition to quark gluon plasma

We deduce approximate equations of state from experimental measurements in proton-proton and proton-antiproton collisions. Thermodynamic quantities are estimated combining the measure of average transverse momentum vs pseudorapidity density dN/deta with the estimation of the interaction region size from measures of Bose Einstein correlation, or from a theoretical model which relates dN/deta to the impact parameter. The results are very similar to theory predictions in case of crossover from hadron gas to quark gluon plasma. According to our analysis, the possible crossover should start at dN/deta about 6 and end at dN/deta about 24.Comment: 26 pages, 6 figure

A genetically-encoded crosslinker screen identifies SERBP1 as a PKCε substrate influencing translation and cell division

PKCε is known to exert a role in genome protection by directly phosphorylating and switching the specificity of Aurora B. Here the authors identify SERBP1 as a parallel mitotic PKCε substrate controlling translation and ensuring the integrity of chromosome segregation and successful cell division

Combined quantification of intracellular (phospho-)proteins and transcriptomics from fixed single cells

Environmental stimuli often lead to heterogeneous cellular responses and transcriptional output. We developed single-cell RNA and Immunodetection (RAID) to allow combined analysis of the transcriptome and intracellular (phospho-)proteins from fixed single cells. RAID successfully recapitulated differentiation-state changes at the protein and mRNA level in human keratinocytes. Furthermore, we show that differentiated keratinocytes that retain high phosphorylated FAK levels, a feature associated with stem cells, also express a selection of stem cell associated transcripts. Our data demonstrates that RAID allows investigation of heterogeneous cellular responses to environmental signals at the mRNA and phospho-proteome level

Clinical, Pathology, Genetic, and Molecular Features of Colorectal Tumors in Adolescents and Adults 25 Years or Younger

Background & Aims: Colorectal cancers (CRCs) are rare in adolescents and adults ages 25 years or younger. We analyzed clinical, pathology, and molecular features of colorectal tumors from adolescents and young adults in an effort to improve genetic counseling, surveillance, and, ultimately, treatment and outcomes. Methods: We analyzed clinical data and molecular and genetic features of colorectal tumor tissues from 139 adolescents or young adults (age, ≤25 y; median age, 23 y; 58% male), collected from 2000 through 2017; tumor tissues and clinical data were obtained from the nationwide network and registry of histopathology and cytopathology and The Netherlands Cancer Registry, respectively. DNA samples from tumors were analyzed for microsatellite instability, mutations in 56 genes, and genome-wide somatic copy number aberrations. Results: Mucinous and/or signet ring cell components were observed in 33% of tumor samples. A genetic tumor risk syndrome was confirmed for 39% of cases. Factors associated with shorter survival time included younger age at diagnosis, signet ring cell carcinoma, the absence of a genetic tumor risk syndrome, and diagnosis at an advanced stage of disease. Compared with colorectal tumors from patients ages 60 years or older in the Cancer Genome Atlas, higher proportions of tumors from adolescents or young adults were microsatellite stable with nearly diploid genomes, or contained somatic mutations in TP53 and POLE, whereas lower proportions contained mutations in APC. Conclusions: We found clinical, molecular, and genetic features of CRCs in adolescents or young adults to differ from those of patients older than age 60 years. In 39% of patients a genetic tumor risk syndrome was identified. These findings provide insight into the pathogenesis of CRC in young patients and suggest new strategies for clinical management. Performing genetic and molecular analyses for every individual diagnosed with CRC at age 25 years or younger would aid in this optimization