Basic measurements of radiation at station Lindenberg (2013-02)

Additional file 3. Functional genomics-based annotation support for genes in the plant cell wall degradation network (PCWDN) of N. crassa. The table contains information from following sources: CAZY, BROAD, TransportDB, SignalP, Phobius, WoLF PSORT and ProtComp

MOESM10 of Network reconstruction and systems analysis of plant cell wall deconstruction by Neurospora crassa

Additional file 10. Hierarchical clustering of genes in the plant cell wall degradation network (PCWDN) of N. crassa based on RNA-seq data obtained in nine different conditions. The first sheet lists the different clusters in the same order as shown in Fig. 5

Semiquantitative Electron Tunneling Barrier Height Measurements of Molecular Monolayers at the Solution–Graphite Interface: Nonorbital-Mediated Tunneling

Semiquantitative apparent tunneling barrier measurements were collected of stearic acid adsorbed onto highly oriented pyrolytic graphite from 1-phenyloctane. A detailed investigation of the topography revealed an interesting geometric phenomenon, namely, the observation of different conformers within a single monolayer; this phenomenon has not been previously reported, despite the large volume of work on these and similar systems in the literature. Apparent barrier height images showed two separate effects. The apparent barrier height map is dominated by the distribution of surface charge (as tracked by electrostatic potential) in regions where significant polarity exists (i.e., near the carboxyl groups). Conversely, in regions where there is little variation in electrostatic potential (i.e., near the interlaced alkane chains), the manifestation of the topography dominates the apparent barrier height. The electron tunneling involved in imaging these types of monolayers is not mediated by adlayer molecular orbitals since their energies fall outside of the Fermi levels of the substrate and the tip under the tunneling conditions described. These studies provide a basis for further investigations into barrier height tunneling spectroscopy of molecular monolayers on graphite

Comparison of global myocardial strain assessed by cardiovascular magnetic resonance tagging and feature tracking to infarct size at predicting remodelling following STEMI.

BACKGROUND: To determine if global strain parameters measured by cardiovascular magnetic resonance (CMR) acutely following ST-segment Elevation Myocardial Infarction (STEMI) predict adverse left ventricular (LV) remodelling independent of infarct size (IS). METHODS: Sixty-five patients with acute STEMI (mean age 60 ± 11 years) underwent CMR at 1-3 days post-reperfusion (baseline) and at 4 months. Global peak systolic circumferential strain (GCS), measured by tagging and Feature Tracking (FT), and global peak systolic longitudinal strain (GLS), measured by FT, were calculated at baseline, along with IS. On follow up scans, volumetric analysis was performed to determine the development of adverse remodelling - a composite score based on development of either end-diastolic volume index [EDVI] ≥20% or end-systolic volume index [ESVI] ≥15% at follow-up compared to baseline. RESULTS: The magnitude of GCS was higher when measured using FT (-21.1 ± 6.3%) than with tagging (-12.1 ± 4.3; p < 0.001 for difference). There was good correlation of strain with baseline LVEF (r 0.64-to 0.71) and IS (ρ -0.62 to-0.72). Baseline strain parameters were unable to predict development of adverse LV remodelling. Only baseline IS predicted adverse remodelling - Odds Ratio 1.05 (95% CI 1.01-1.10, p = 0.03), area under the ROC curve 0.70 (95% CI 0.52-0.87, p = 0.04). CONCLUSION: Baseline global strain by CMR does not predict the development of adverse LV remodelling following STEMI

MOESM5 of Transcriptional program for nitrogen starvation-induced lipid accumulation in Chlamydomonas reinhardtii

Additional file 5: Table S4. List of predicted genes with ρ > 1. List of transcripts downregulated during N starvation predicted to result in higher TAG to biomass ratio upon gene knockdown. For each gene, we present the computed ρ value, the co-regulated module membership, the time of module downregulation and the predicted TR(s) regulating such module(s)

Additional file 1: Table S1. of Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease

Sample characteristics. Table S2. Association P values of Alzheimer disease loci previously established by GWAS in univariate and pleiotropy association tests of neuropathological features. Table S3. Association of cis-eQTL for HDAC9 in the Mayo Clinic brain expression genome-wide association study (eGWAS). rs79524815 was not available in the Mayo Clinic brain eGWAS, so proxy SNPs that are in LD (D′ > 0.90) with rs79524815 were used for the eQTL test with HDAC9 expression. Table S4. Association of expression of SNPs for TRAPPC12-AS1 and ADI1 with neuropathological traits and gene expression in the GTEx portal database. Table S5. Association results from the trivariate pleiotropy model of neuritic plaque (NP), neurofibrillary tangles (NFT), and cerebral amyloid angiopathy (CAA) for study-wide significant SNPs in the bivariate pleiotropy model. Table S6. Results of differential gene expression analysis by brain region among AD cases and controls for AD loci previously established by GWAS in RNA-Seq and microarray analysis. Figure S1. Quantile-quantile plots of observed (y-axis) vs. expected (x-axis) P values of all SNPs (black dots) and after excluding SNPs in APOE region (blue dots) for the pleiotropy analysis of (a) NP and NFT, (b) NP and CAA, and (c) NFT and CAA using the O’Brien method [10]. Figure S2. Manhattan plots showing genome-wide pleiotropy analyses of (a) NP and NFT, (b) NP and CAA, and (c) NFT and CAA using the O’Brien method [10]. Red dashed line represents the genome-wide significance threshold of P < 5.0 × 10−−8. Loci achieving genome-wide significance are highlighted in red, and known AD genes that attained at least a moderate significance level (P < 10−−4) are highlighted in gold. Figure S3. Regional association plots of genes, including TRAPPC12, TRAPPC12-AS1, and ADI1, on chromosome 2 from the joint model of NFT and CAA. Figure S4. Genome-wide trivariate pleiotropy analysis of NP, NFT, and CAA. (a) Quantile-quantile plot. (b) Manhattan plot. (DOCX 1028 kb