| 1. |
|
|
| 2. |
- Golob-Schwarzi, Nicole, et al.
(författare)
-
High Keratin 8/18 Ratio Predicts Aggressive Hepatocellular Cancer Phenotype
- 2019
-
Ingår i: Translational Oncology. - : ELSEVIER SCIENCE INC. - 1944-7124 .- 1936-5233. ; 12:2, s. 256-268
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND amp; AIMS: Steatohepatitis (SH) and SH-associated hepatocellular carcinoma (HCC) are of considerable clinical significance. SH is morphologically characterized by steatosis, liver cell ballooning, cytoplasmic aggregates termedMallory-Denk bodies (MDBs), inflammation, and fibrosis at late stage. Disturbance of the keratin cytoskeleton and aggregation of keratins (KRTs) are essential for MDB formation. METHODS: Weanalyzed livers of aged Krt18(-/-) mice that spontaneously developed in the majority of cases SH-associated HCC independent of sex. Interestingly, the hepatic lipid profile in Krt18(-/-) mice, which accumulate KRT8, closely resembles human SH lipid profiles and shows that the excess of KRT8 over KRT18 determines the likelihood to develop SH-associated HCC linked with enhanced lipogenesis. RESULTS: Our analysis of the genetic profile of Krt18(-/-) mice with 26 human hepatoma cell lines and with data sets of amp;gt;300 patients with HCC, where Krt18(-/-) gene signatures matched human HCC. Interestingly, a high KRT8/18 ratio is associated with an aggressive HCC phenotype. CONCLUSIONS: We can prove that intermediate filaments and their binding partners are tightly linked to hepatic lipid metabolism and to hepatocarcinogenesis. We suggest KRT8/18 ratio as a novel HCC biomarker for HCC.
|
|
| 3. |
- Kessler, Richard, et al.
(författare)
-
Results from the Supernova Photometric Classification Challenge
- 2010
-
Ingår i: Publications of the Astronomical Society of the Pacific. - : IOP Publishing. - 0004-6280 .- 1538-3873. ; 122:898, s. 1415-1431
-
Tidskriftsartikel (refereegranskat)abstract
- We report results from the Supernova Photometric Classification Challenge (SNPhotCC), a publicly released mix of simulated supernovae (SNe), with types (Ia, Ibc, and II) selected in proportion to their expected rates. The simulation was realized in the griz filters of the Dark Energy Survey (DES) with realistic observing conditions (sky noise, point-spread function, and atmospheric transparency) based on years of recorded conditions at the DES site. Simulations of non-Ia-type SNe are based on spectroscopically confirmed light curves that include unpublished non-Ia samples donated from the Carnegie Supernova Project (CSP), the Supernova Legacy Survey (SNLS), and the Sloan Digital Sky Survey-II (SDSS-II). A spectroscopically confirmed subset was provided for training. We challenged scientists to run their classification algorithms and report a type and photo-z for each SN. Participants from 10 groups contributed 13 entries for the sample that included a host-galaxy photo-z for each SN and nine entries for the sample that had no redshift information. Several different classification strategies resulted in similar performance, and for all entries the performance was significantly better for the training subset than for the unconfirmed sample. For the spectroscopically unconfirmed subset, the entry with the highest average figure of merit for classifying SNe Ia has an efficiency of 0.96 and an SN Ia purity of 0.79. As a public resource for the future development of photometric SN classification and photo-z estimators, we have released updated simulations with improvements based on our experience from the SNPhotCC, added samples corresponding to the Large Synoptic Survey Telescope (LSST) and the SDSS-II, and provided the answer keys so that developers can evaluate their own analysis.
|
|
| 4. |
- Kuhn, Stefan, et al.
(författare)
-
NMReDATA : Tools and applications
- 2021
-
Ingår i: Magnetic Resonance in Chemistry. - : John Wiley & Sons. - 0749-1581 .- 1097-458X. ; 59:8, s. 792-803
-
Tidskriftsartikel (refereegranskat)abstract
- The nuclear magn etic resonance extracted data (NMReDATA) format has beenproposed as a way to store, exchange, and disseminate nuclear magneticresonance (NMR) data and physical and chemical metadata of chemical com-pounds. In this paper, we report on analytical workflows that take advantageof the uniform and standardized NMReDATA format. We also give access to arepository of sample data, which can serve for validating software packagesthat encode or decode files in NMReDATA format.
|
|
| 5. |
- Pupier, Marion, et al.
(författare)
-
NMReDATA, a standard to report the NMR assignment and parameters of organic compounds
- 2018
-
Ingår i: Magnetic Resonance in Chemistry. - : John Wiley & Sons. - 0749-1581 .- 1097-458X. ; 56:8, s. 703-715
-
Tidskriftsartikel (refereegranskat)abstract
- Even though NMR has found countless applications in the field of small molecule characterization, there is no standard file format available for the NMR data relevant to structure characterization of small molecules. A new format is therefore introduced to associate the NMR parameters extracted from 1D and 2D spectra of organic compounds to the proposed chemical structure. These NMR parameters, which we shall call NMReDATA (for nuclear magnetic resonance extracted data), include chemical shift values, signal integrals, intensities, multiplicities, scalar coupling constants, lists of 2D correlations, relaxation times, and diffusion rates. The file format is an extension of the existing Structure Data Format, which is compatible with the commonly used MOL format. The association of an NMReDATA file with the raw and spectral data from which it originates constitutes an NMR record. This format is easily readable by humans and computers and provides a simple and efficient way for disseminating results of structural chemistry investigations, allowing automatic verification of published results, and for assisting the constitution of highly needed open-source structural databases.
|
|
