|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Biliary phosphatidylcholine and lysophosphatidylcholine profiles in sclerosing cholangitis显示文摘AIM:To analyze phospholipid profiles in intrahepatic bile from patients with primary sclerosing cholangitis(PSC)and secondary sclerosing cholangitis(SSC).METHODS:Intrahepatic bile specimens collected via endoscopic retrograde cholangiography from 41 patients were analyzed.Fourteen of these patients were diagnosed with PSC,10 with SSC,11 with choledocholithiasis or no identifiable biliary disease,and 6 with cholangiocellular carcinoma(CCC).Bile acid,cholesterol,protein,and bilirubin contents as well as pancreas lipase activity in bile were determined by biochemical methods.Phosphatidylcholine(PC)and lysophosphatidylcholine(LPC)species were quantified using nanoelectrospray ionization tandem mass spectrometry.RESULTS:Bile from all the examined patient groups showed a remarkably similar PC and LPC species composition,with only minor statistical differences.Total biliary PC concentrations were highest in controls(8030±1843 mol/L)and lowest in patients with CCC(1969±981 mol/L)(P=0.005,controls vs SSC and CCC,respectively,P<0.05).LPC contents in bile were overall low(4.2%±1.8%).Biliary LPC/PC ratios and ratios of biliary PC to bilirubin,PC to cholesterol,PC to protein,and PC to bile acids showed no intergroup differences.CONCLUSION:PC and LPC profiles being similar in patients with or without sclerosing cholangitis,these phospholipids are likely not of major pathogenetic importance in this disease group. | Annika Gauss Robert Ehehalt Wolf-Dieter Lehmann Gerhard Erben Karl-Heinz Weiss Yvonne Schaefer Petra Kloeters-Plachky Adolf Stiehl Wolfgang Stremmel Peter Sauer Daniel Nils Gotthardt | 2013 | World Journal of Gastroenterology2013，19，33： | 3 |
| 2 | Chemical durability of silylated polyurethane-based formulations显示文摘 | Patrice Lehmann Robert R Johnston | 1998 | Adhesives Age1998，41，1： | 1 |
| 3 | Chemical durability of silylated polyurethane-based fomulations显示文摘 | Patrice Lehmann Robert R Johnston | 1998 | Adhesives Age1998，41，1： | 1 |
| 4 | ABCB1/MDR1 contributes to the anticancer drug-resistant phenotype of IPH-926 human lobular breast cancer cells显示文摘 | Till Krech Elisa Scheuerer Robert Geffers Hans Kreipe Ulrich Lehmann Matthias Christgen | 2011 | Cancer Letters2011，，2： | 1 |
| 5 | Toll-like receptor 2 mediates CNS injury in focal cerebral ischemia显示文摘 | Seija Lehnardt Sabrina Lehmann David Kaul Katharina Tschimmel Olaf Hoffmann Sabine Cho Christina Krueger Robert Nitsch Andreas Meisel Joerg R. Weber | 2007 | Journal of Neuroimmunology2007，，1： | 1 |
| 6 | MDR1 and ERCC1 Expression Predict Outcome of Patients with Locally Advanced Bladder Cancer Receiving Adjuvant Chemotherapy显示文摘 | Andreas-Claudius Hoffmann Peter Wild Christina Leicht Simone Bertz Kathleen D. Danenberg Peter V. Danenberg Robert St?hr Michael St?ckle Jan Lehmann Martin Schuler Arndt Hartmann | 2010 | Neoplasia2010，，： | 1 |
| 7 | A comparison of patient-reported outcomes from an apodized diffractive intraocular lens and a conventional monofocal intraocular lens显示文摘 | Robert Lehmann Curtis Waycaster Kendra Hileman | 2006 | Current Medical Research and Opinion?2006，，12： | 1 |
| 8 | Re-Os dating of polymetallic Ni-Mo-PGE-Au mineralization in lower Cambrian black shales of south China and its geologic significance显示文摘 | Mao J W Lehmann B Du A D Robert Kerrich Zhang Guangdi Ma Dongsheng Wang Yitian Zeng Minguo | 2002 | Economic Geology2002，97，： | 1 |
| 9 | Advancement of Criminal Profiling Methods in Faceted Multidimensional Analysis显示文摘 | Alasdair M. Goodwill Skye Stephens Sandra Oziel Shankari Sharma Jared C. Allen Nicola Bowes Robert Lehmann | 2012 | J Investig Psych Offender Profil2012，，1： | 1 |
| 10 | Particle Filtering Algorithms for Tracking an Acoustic Source in a Reverberant Environment显示文摘 | Darren B Ward Eric A Lehmann Robert C Williamson | 2003 | IEEE Transactions on Speech and Audio Processing2003，11，6： | 1 |
| 11 | Electronic properties of grain boundaries in Cu(In,Ga)Se 2 thin films with various Ga-contents显示文摘 | Robert Baier Jascha Lehmann Sebastian Lehmann Thorsten Rissom Christian Alexander Kaufmann Alex Schwarzmann Yossi Rosenwaks Martha Ch. Lux-Steiner Sascha Sadewasser | 2012 | Solar Energy Materials and Solar Cells2012，，： | 1 |
| 12 | LIBRA:an adaptative integrative tool for paired single-cell multi-omics data显示文摘Background:Single-cell multi-omics technologies allow a profound system-level biology understanding of cells and tissues.However,an integrative and possibly systems-based analysis capturing the different modalities is challenging.In response,bioinformatics and machine learning methodologies are being developed for multi-omics single-cell analysis.It is unclear whether current tools can address the dual aspect of modality integration and prediction across modalities without requiring extensive parameter fine-tuning.Methods:We designed LIBRA,a neural network based framework,to learn translation between paired multi-omics profiles so that a shared latent space is constructed.Additionally,we implemented a variation,aLIBRA,that allows automatic fine-tuning by identifying parameter combinations that optimize both the integrative and predictive tasks.All model parameters and evaluation metrics are made available to users with minimal user iteration.Furthermore,aLIBRA allows experienced users to implement custom configurations.The LIBRA toolbox is freely available as R and Python libraries at GitHub(TranslationalBioinformaticsUnit/LIBRA).Results:LIBRA was evaluated in eight multi-omic single-cell data-sets,including three combinations of omics.We observed that LIBRA is a state-of-the-art tool when evaluating the ability to increase cell-type(clustering)resolution in the integrated latent space.Furthermore,when assessing the predictive power across data modalities,such as predictive chromatin accessibility from gene expression,LIBRA outperforms existing tools.As expected,adaptive parameter optimization(aLIBRA)significantly boosted the performance of learning predictive models from paired data-sets.Conclusion:LIBRA is a versatile tool that performs competitively in both“integration”and“prediction”tasks based on single-cell multi-omics data.LIBRA is a data-driven robust platform that includes an adaptive learning scheme. | Xabier Martinez-de-Morentin Sumeer AKhan Robert Lehmann Sisi Qu Alberto Maillo Narsis AKiani Felipe Prosper Jesper Tegner David Gomez-Cabrero | 2023 | Quantitative Biology2023，11，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员