Project description:Purpose: Ribosome profiling and RNA-Seq were used to map the location and abundance of translating ribosomes on mouse heart and skeletal muscle transcripts. Methods: Tissue was rapidly harvested and snap-frozen to minimize bias to the pool of translating ribosomes. RNA was prepared from a single homogenate for each tissue so that starting RNA populations for both libraries were closely matched. Homogenates were not clarified before RNase digestion to avoid loss of ribosomes associated with large molecular weight complexes, and RNA-Seq libraries were prepared after rRNA subtraction to avoid positional loss of 5’ reads. Trimmed reads from 50 cycles of Illumina single-end sequencing were mapped onto a non-redundant set of 18,499 mouse protein-coding RefSeq transcripts from the nuclear genome. Results: Mapped sequence reads to myosin, actin and the giant protein titin together account for ~20% of the total mRNA-derived ribosome protected fragments (RPFs). We observed large-scale uniformity in the distribution of RPFs on the >30,000 codon titin open reading frame, from which we inferred an in vivo ribosome elongation error rate of ≤10-5. Ribosome footprints on Ttn mRNA also uncovered a novel 5’ UTR within a phylogenetically conserved intronic element that would produce ~2.35 mDa titin isoform that corresponds to the titin 'T2' band frequently described as a proteolytic artifact. Local translation efficiency across several >10 kb muscle mRNAs was also uniform, while their global translation efficiencies varied by ~20-fold suggesting initiation rate plays a major role in the translation efficiency of large mRNAs. Evidence for RPFs on 5’ UTRs was widespread with particular enrichment for ribosomes positioned at CUG codons. Comparison of global translation efficiency in cardiac and skeletal muscle revealed novel examples of tissue-specific translational control including synthesis of the myogenic factor Mef2c, and the titin-binding stress response protein Ankrd23. Conclusions: Our study represents the first detailed analysis of translation in an adult mammalian tissue generated by ribosome profiling technology. Current limitations to using ribosomal profiling in tissues include unknown perturbations to the dynamic state of translation despite rapidly harvested and snap-frozen samples. The uniform 5’ to 3’ coverage observed on individual large mRNAs and the ability to observe footprints on the extremely small phospholamban coding sequence, suggests that initiation and elongation were halted on similar time scales. More detailed examination of the positional information within CDS region requires further understanding of the bias introduced during the library preparation steps for both RPF-and RNA-Seq, as well as local biases induced as translation is arrested. Despite these qualifications, this initial view of active translation in muscle tissue highlights the potential for ribosome profiling to monitor the dynamic translation response to exercise, injury or disease pathology in animal models at a level of resolution not easily attainable with other quantitative approaches. Heart and skeletal muscle ribosome-protected fragment and RNA-Seq profiles of 10-week old C57BL/6J male mice were generated by deep sequencing using the Illumina HiSeq 2000.
Project description:Type 1 diabetes mellitus (T1DM) results from immune mediated destruction of pancreatic beta cells. However, clinical and immunologic phenotypes of T1DM are variable. Several auto-antibodies including GADA, IA-2A, and ZnT8A, were identified in T1DM, but the prevalence of these auto-antibodies varied for a broad spectrum of T1DM. Here, we systemically profiled auto-antibodies from serum samples of 16 T1DM, 16 type 2 diabetes (T2DM) patients, and 27 healthy controls with normal glucose tolerance (NGT) using protein microarrays containing 9,480 proteins. Among 9,480 different proteins on the array, we identified novel auto-antibody candidates (EEF1A1-AAb and UBE2L3-AAb) by M-test coupled with PLS-DA. These auto-antibodies were highly present in T1DM than controls and detected in 40% of T1DM without GADA. Furthermore, these auto-antibodies might help to differentiate subtype of T1DM when combined with GADA. These novel auto-antibodies provide new diagnostic information of T1DM, as well as new insights into the pathogenesis of T1DM. Auto-antibodies from serum samples were profiled using a high-density, fluorescence-based protein microarray containing duplicate spots of 9,480 human proteins derived from the Ultimate ORF collection The cohort of patients and controls consisted of 16 T1DM, 16 T2DM patients, and 27 healthy controls with NGT. This cohort was used to screen candidate auto-antibodies using protein microarrays (ProtoArray platform version 5.0, Invitrogen Corp., Carlsbad, CA). Serum samples were drawn from T1DM patients who have 1) fasting C-peptide level <0.3 nmol/L or serum C-peptide <0.6 nmol/L after glucagon loading, 2) initiation of insulin treatment within six months after diagnosis, and 3) duration of diabetes M-bM-^IM-$12 months. Mean age of T1DM in the first cohort was 42 M-BM-1 16 years. The control serum samples were obtained from T2DM patients who were treated only with oral anti-diabetic drug at least 5 years and from NGTs who had no history of diabetes, no first-degree relatives with diabetes, a fasting plasma glucose concentration of <6.1 mmol/l, and a HbA1c value of <5.8%.
Project description:This article describes a suite of global climate model output files that provide continental climatic conditions (monthly temperatures, precipitation, evaporation, precipitation minus evaporation balance, runoff) together with the calculated Köppen-Geiger climate classes and topography, for 28 evenly spaced time slices through the Phanerozoic (Cambrian to Quaternary, 540 Ma to 0 Ma). Climatic variables were simulated with the Fast Ocean Atmosphere Model (FOAM), using a recent set of open-access continental reconstructions with paleotopography and recent atmospheric CO2 and solar luminosity estimates. FOAM is a general circulation model frequently used in paleoclimate studies, especially in the Palaeozoic. Köppen-Geiger climate classes were calculated based on simulated temperature and precipitation fields using Wong Hearing et al.'s [1] implementation of Peel et al.'s [2] updated classification. This dataset provides a unique window onto changing continental climate throughout the Phanerozoic that accounts for the simultaneous evolution of paleogeography (continental configuration and topography), atmospheric composition and greenhouse gas forcing, and solar luminosity.
Project description:Exploratory study on the kinetics of psoriasis symptoms, pruritus intensity and lesional biomarkers in patients with moderate to severe plaque-type psoriasis treated with subcutaneous secukinumab (300 mg) during a 16 week open-label run-in phase followed by a 16 week randomized, double-blind, placebo-controlled withdrawal phase.
Project description:This is a feasibility study to test the potential efficacy of diets of different amounts of protein and calories for patients with cancer. We hypothesize that nutritional deficits play a significant role in muscle loss and that nutritional therapy is an important first step in reversing or preventing muscle loss and maintaining/improving physical function.
Project description:We present new global maps of the Köppen-Geiger climate classification at an unprecedented 1-km resolution for the present-day (1980-2016) and for projected future conditions (2071-2100) under climate change. The present-day map is derived from an ensemble of four high-resolution, topographically-corrected climatic maps. The future map is derived from an ensemble of 32 climate model projections (scenario RCP8.5), by superimposing the projected climate change anomaly on the baseline high-resolution climatic maps. For both time periods we calculate confidence levels from the ensemble spread, providing valuable indications of the reliability of the classifications. The new maps exhibit a higher classification accuracy and substantially more detail than previous maps, particularly in regions with sharp spatial or elevation gradients. We anticipate the new maps will be useful for numerous applications, including species and vegetation distribution modeling. The new maps including the associated confidence maps are freely available via www.gloh2o.org/koppen.
Project description:Expression levels of proteins and phosphoproteins, covering major cancer signaling pathways with a special focus on breast cancer biology, were obtained for a series of 109 breast cancer tumor specimens with positive estrogen receptor status. Tumor specimens from patients diagnosed with primary invasive breast carcinoma were collected at the time of surgery between 2008 and 2010 at the Department of Gynecology and Obstetrics / National Center for Tumor Diseases Heidelberg. None of the patients had received neoadjuvant therapy. Institutional Review Board approval was received as ethics vote no. S039/2008 and informed consent was obtained from all patients. Tumor specimens were processed within 20 min after surgery. Samples were stored snap frozen at -80M-BM-0C until further use. Only tumor samples with > 70% tumour cells and positive estrogen receptor status (immunoreactive score M-bM-^IM-% 3) as assessed by routine immunohistochemistry were selected for this study (n = 109). Tumor lysates were printed on a series of nitrocellulose coated glass slides and probed with 128 different primary antibodies directed against proteins and phosphoproteins of interest. Primary antibodies were selected to recognize proteins involved in major cancer signaling pathways with a special focus on breast cancer biology.