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Obesity alters pathology and treatment response in inflammatory disease

四川生理科学杂志 2022年第3期44卷 446-446页

作者： Sagar P Bapat NOMIS Center for Immunobiology and Microbial Pathogenesis The Salk Institute for Biological Studies La Jolla CA USA Gene Expression Laboratory The Salk Institute for Biological Studies La Jolla CA USA Medical Scientist Training Program University of California San Diego La Jolla CA USA Department of Laboratory Medicine University of California San Francisco San Francisco CA USA Department of Microbiology and Immunology University of California San Francisco San Francisco CA USA Diabetes Center University of California San Francisco San Francisco CA USA Medical Scientist Training Program University of California San Francisco CA USA Division of Pulmonary Critical Care Allergy and Sleep Department of Medicine University of California San Francisco San Francisco CA USA School of Pharmaceutical Sciences Xiamen University Xiamen China Department of Dermatology University of California San Diego La Jolla CA USA Department of Surgery University of California San Francisco San Francisco CA USA Department of Medicine University of California San Francisco San Francisco CA USA Sandler Asthma Basic Research Center University of California San Francisco San Francisco CA USA School of Medicine Wake Forest University Winston–Salem NC USA Department of Dermatology Icahn School of Medicine at Mount Sinai New York NY USA Lung Biology Center Department of Medicine University of California San Francisco San Francisco CA USA Department of Biomedical Science Graduate School Kyungpook National University Kyungpook National University Hospital Daegu South Korea Department of Dermatology University of California San Francisco San Francisco CA USA Department of Pathology University of California San Francisco San Francisco CA USA Department of Internal Medicine Division of Pulmonary Critical Care and Sleep Medicine University of Kentucky Lexington KY USA Pulmonary Critical Care Section Department of Medicine Veterans Affairs San Diego Hea

Decades of work have elucidated cytokine signalling and transcriptional pathways that control T cell differentiation and have led the way to targeted biologic therapies that are effective in a range of autoimmune,allergic and inflammatory *** evidence indicates that obesity and metabolic disease can also influence the immune system1-7,although the mechanisms and effects on immunotherapy outcomes remain largely ***,using two models of atopic dermatitis,we show that lean and obese mice mount markedly different immune *** converted the classical type 2 T helper(TH2)-predominant disease associated with atopic dermatitis to a more severe disease with prominent TH17 *** also observed divergent responses to biologic therapies targeting TH2 cytokines,which robustly protected lean mice but exacerbated disease in obese ***-cell RNA sequencing coupled with genome-wide binding analyses revealed decreased activity of nuclear receptor peroxisome proliferator-activated receptor-γ(PPARγ)in TH2 cells from obese mice relative to lean mice.

关键词： dermatitis inflammatory allergic

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Cytocompatible magnetostrictive microstructures for nano- A nd microparticle manipulation on linear strain response piezoelectrics

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Multifunctional Materials 2018年第1期1卷

作者： Xiao, Zhuyun Khojah, Reem Chooljian, Marc Conte, Roberto Lo Schneider, Joseph D. Fitzell, Kevin Chopdekar, Rajesh V. Wang, Yilian Scholl, Andreas Chang, Jane Carman, Gregory P. Bokor, Jeffrey Carlo, Dino Di Candler, Rob N. Department of Electrical and Computer Engineering University of California Los Angeles United States Department of Bioengineering University of California Los Angeles United States University of California Berkeley UCSF Graduate Program in Bioengineering Berkeley United States Department of Electrical Engineering and Computer Sciences University of California Berkeley United States Department of Mechanical and Aerospace Engineering University of California Los Angeles United States Department of Chemical and Biomolecular Engineering University of California Los Angeles United States Advanced Light Source Lawrence Berkeley National Laboratory Berkeley United States California Nanosystems Institute Los Angeles United States

In this work, we investigate polycrystalline Ni and FeGamagnetostrictivemicrostructures on prepoled (011)-cut single crystal [Pb(Mg1/3Nb2/3)O3]1-x-[PbTiO3]x (PMN-PT, x ≈ 0.31) with linear strain profile versus applied electric field. Magnetostrictive microstructure arrays with various geometries are patterned on PMN-PT. Functionalizedmagnetic beads are trapped by localized stray fields originating fromthe microstructures. With an applied electric field, themagnetic domains are actuated, inducing the motion of the coupled particles with sub-micrometer precision. This work shows promise of using energy-efficient electric-field-controlled magnetostrictivemicro- A nd nanostructures formanipulatingmagnetic beads via a linear strain response. The work also demonstrates the viability of cells suspended in solution on these structures when subject to applied electric fields, proving the cytocompatibility of the platform for live cell sorting applications. © 2018 IOP Publishing Ltd.

关键词： Electric fields

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Developing a vision for executing scientifically useful virtual biomedical experiments

Developing a vision for executing scientifically useful virt...

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Agent-Directed Simulation Symposium, ADS 2016, Part of the 2016 Spring Simulation Multi-Conference, SpringSim 2016

作者： Petersen, Brenden K. Hunt, C. Anthony UC Berkeley-UCSF Graduate Program in Bioengineering University of California BerkeleyCA United States Department of Bioengineering and Therapeutic Sciences University of California San FranciscoCA United States

ISBN: (纸本)9781510824256

A virtual biomedical experiment (VBE) is a simulation of a wet-lab or clinical biomedical experiment. The goal of VBEs is to provide a scientifically useful method of in silico experimentation that can challenge concrete hypotheses and provide explanatory, mechanistic insight into the referent system. We envision virtual experimentation not as a supplement to traditional wet-lab experimentation, but rather as an essential part of the scientific method itself. The goal of this work is to lay preliminary groundwork for realizing this vision, through outlining requirements and describing agentbased models demonstrative of this vision. VBEs focus on reasoning by analogy;thus, a VBE includes model components analogous to particular relevant aspects of the referent experiment-from hypothesis formation to data analysis, and key concepts in between. We explore five exemplary categories of scientifically useful VBEs;hypothesis, experiment context, living counterparts, experiment agents, and measurements. We discuss how to develop model components of each category in the context of agent-based modeling. We highlight the importance of two overarching requirements: concreteness and modularity. Finally, we demonstrate this vision by describing an in silico liver model that partially fulfills the VBE vision and requirements, including components corresponding to each of the five VBE categories. © 2016 Society for Modeling & Simulation International (SCS).

关键词： Concretes

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Author Correction: lentiMPRA and MPRAflow for high-throughput functional characterization of gene regulatory elements

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Nature protocols 2021年第7期16卷 3736页

作者： M Grace Gordon Fumitaka Inoue Beth Martin Max Schubach Vikram Agarwal Sean Whalen Shiyun Feng Jingjing Zhao Tal Ashuach Ryan Ziffra Anat Kreimer Ilias Georgakopoulos-Soares Nir Yosef Chun Jimmie Ye Katherine S Pollard Jay Shendure Martin Kircher Nadav Ahituv Department of Bioengineering and Therapeutic Sciences University of California San Francisco San Francisco CA USA. Institute for Human Genetics University of California San Francisco San Francisco CA USA. Biological and Medical Informatics Graduate Program University of California San Francisco San Francisco CA USA. Department of Bioengineering and Therapeutic Sciences University of California San Francisco San Francisco CA USA. fumitaka.inoue@ucsf.edu. Institute for Human Genetics University of California San Francisco San Francisco CA USA. fumitaka.inoue@ucsf.edu. Berlin Institute of Health (BIH) Berlin Germany. Department of Genome Sciences University of Washington Seattle WA USA. Calico Life Sciences LLC South San Francisco CA USA. Gladstone Institutes San Francisco CA USA. Department of Electrical Engineering and Computer Sciences and Center for Computational Biology University of California Berkeley Berkeley CA USA. Chan-Zuckerberg Biohub San Francisco CA USA. Division of Rheumatology Department of Medicine University of California San Francisco San Francisco CA USA. Institute for Computational Health Sciences University of California San Francisco San Francisco California USA. Department of Epidemiology and Biostatistics and Institute of Computational Health Sciences University of California San Francisco San Francisco CA USA. Department of Genome Sciences University of Washington Seattle WA USA. shendure@uw.edu. Howard Hughes Medical Institute Seattle WA USA. shendure@uw.edu. Brotman Baty Institute for Precision Medicine University of Washington Seattle WA USA. shendure@uw.edu. Berlin Institute of Health (BIH) Berlin Germany. martin.kircher@bihealth.de. Charité-Universitätsmedizin Berlin Berlin Germany. martin.kircher@bihealth.de. Department of Bioengineering and Therapeutic Sciences University of California San Francisco San Francisco CA USA. nadav.ahituv@ucsf.edu. Institute for Human Genetics University of California San

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Assessing visual discomfort using dynamic lens and monovision displays

Assessing visual discomfort using dynamic lens and monovisio...

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3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2016

作者： Johnson, Paul V. Parnell, Jared A.Q. Kim, Joohwan Saunter, Christopher D. Banks, Martin S. Love, Gordon D. UC Berkeley UCSF Graduate Program in Bioengineering BerkeleyCA94720 United States Durham University Dept. of Physics DurhamDH1 3LE United Kingdom Vision Science Program School of Optometry University of California BerkeleyCA94720 United States

We describe two new methods of reducing the accommodation-vergence conflict using lenses between the viewer and the screen and assess their performance in terms of discomfort and time to complete a task. © OSA 2016.

ISBN: (纸本)9781943580156

关键词： Beam splitters Differential absorption lidar Eyes Fusion Presbyopia Stereoscopic displays

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Author Correction: Multiplexed droplet single-cell RNA-sequencing using natural genetic variation

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Nature biotechnology 2020年第11期38卷 1356页

作者： Hyun Min Kang Meena Subramaniam Sasha Targ Michelle Nguyen Lenka Maliskova Elizabeth McCarthy Eunice Wan Simon Wong Lauren Byrnes Cristina M Lanata Rachel E Gate Sara Mostafavi Alexander Marson Noah Zaitlen Lindsey A Criswell Chun Jimmie Ye Department of Biostatistics and Center for Statistical Genetics University of Michigan School of Public Health Ann Arbor Michigan USA. hmkang@umich.edu. Biological and Medical Informatics Graduate Program University of California San Francisco San Francisco California USA. Institute for Human Genetics (IHG) University of California San Francisco San Francisco California USA. Institute for Computational Health Sciences University of California San Francisco San Francisco California USA. Department of Epidemiology and Biostatistics University of California San Francisco San Francisco California USA. Department of Bioengineering and Therapeutic Sciences University of California San Francisco San Francisco California USA. Medical Scientist Training Program (MSTP) University of California San Francisco San Francisco California USA. Department of Microbiology and Immunology University of California San Francisco San Francisco California USA. Diabetes Center University of California San Francisco San Francisco California USA. Innovative Genomics Institute University of California Berkeley Berkeley California USA. Department of Neurology University of California San Francisco San Francisco California USA. Developmental and Stem Cell Biology Graduate Program University of California San Francisco San Francisco California USA. Department of Medicine University of California San Francisco San Francisco California USA. Rosalind Russell/Ephraim P Engleman Rheumatology Research Center University of California San Francisco San Francisco California USA. Department of Statistics University of British Columbia Vancouver British Columbia Canada. UCSF Helen Diller Family Comprehensive Cancer Center University of California San Francisco San Francisco California USA. Chan Zuckerberg Biohub San Francisco California USA. Lung Biology Center University of California San Francisco San Francisco California USA. Department of Orofacial Sciences Universi

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Modeling distinct sources of neural variability driving neuroprosthetic control

Modeling distinct sources of neural variability driving neur...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Preeya Khanna Vivek R. Athalye Suraj Gowda Rui M. Costa Jose M. Carmena UC Berkeley-UCSF Graduate Group in Bioengineering University of California Berkeley CA USA Champalimaud Neuroscience Programme Instituto Gulbenkian de Ciência Oeiras Portugal Department of Electrical Engineering and Computer Sciences University of California Berkeley Berkeley CA USA Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA

Many closed-loop, continuous-control brain-machine interface (BMI) architectures rely on decoding via a linear readout of noisy population neural activity. However, recent work has found that decomposing neural population activity into correlated and uncorrelated variability reveals that improvements in cursor control coincide with the emergence of correlated neural variability. In order to address how correlated and uncorrelated neural variability arises and contributes to BMI cursor control, we simulate a neural population receiving combinations of shared inputs affecting all cells and private inputs affecting only individual cells. When simulating BMI cursor-control with different populations, we find that correlated activity generates faster, straighter cursor trajectories, yet sometimes at the cost of inaccuracies. We also find that correlated variability can be generated from either shared inputs or quickly updated private inputs. Overall, our results suggest a role for both correlated and uncorrelated neural activity in cursor control, and potential mechanisms by which correlated activity may emerge.

关键词： Sociology Statistics Decoding Trajectory Neurons Calibration Data models

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The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

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GENOME BIOLOGY 2019年第1期20卷 1-23页

作者： Zhou, Naihui Jiang, Yuxiang Bergquist, Timothy R. Lee, Alexandra J. Kacsoh, Balint Z. Crocker, Alex W. Lewis, Kimberley A. Georghiou, George Nguyen, Huy N. Hamid, Md Nafiz Davis, Larry Dogan, Tunca Atalay, Volkan Rifaioglu, Ahmet S. Dalkiran, Alperen Atalay, Rengul Cetin Zhang, Chengxin Hurto, Rebecca L. Freddolino, Peter L. Zhang, Yang Bhat, Prajwal Supek, Fran Fernandez, Jose M. Gemovic, Branislava Perovic, Vladimir R. Davidovic, Radoslav S. Sumonja, Neven Veljkovic, Nevena Asgari, Ehsaneddin Mofrad, Mohammad R. K. Profiti, Giuseppe Savojardo, Castrense Martelli, Pier Luigi Casadio, Rita Boecker, Florian Schoof, Heiko Kahanda, Indika Thurlby, Natalie McHardy, Alice C. Renaux, Alexandre Saidi, Rabie Gough, Julian Freitas, Alex A. Antczak, Magdalena Fabris, Fabio Wass, Mark N. Hou, Jie Cheng, Jianlin Wang, Zheng Romero, Alfonso E. Paccanaro, Alberto Yang, Haixuan Goldberg, Tatyana Zhao, Chenguang Holm, Liisa Toronen, Petri Medlar, Alan J. Zosa, Elaine Borukhov, Itamar Novikov, Ilya Wilkins, Angela Lichtarge, Olivier Chi, Po-Han Tseng, Wei-Cheng Linial, Michal Rose, Peter W. Dessimoz, Christophe Vidulin, Vedrana Dzeroski, Saso Sillitoe, Ian Das, Sayoni Lees, Jonathan Gill Jones, David T. Wan, Cen Cozzetto, Domenico Fa, Rui Torres, Mateo Vesztrocy, Alex Warwick Rodriguez, Jose Manuel Tress, Michael L. Frasca, Marco Notaro, Marco Grossi, Giuliano Petrini, Alessandro Re, Matteo Valentini, Giorgio Mesiti, Marco Roche, Daniel B. Reeb, Jonas Ritchie, David W. Aridhi, Sabeur Alborzi, Seyed Ziaeddin Devignes, Marie-Dominique Koo, Da Chen Emily Bonneau, Richard Gligorijevic, Vladimir Barot, Meet Fang, Hai Toppo, Stefano Lavezzo, Enrico Falda, Marco Berselli, Michele Tosatto, Silvio C. E. Carraro, Marco Piovesan, Damiano Rehman, Hafeez Ur Mao, Qizhong Zhang, Shanshan Vucetic, Slobodan Black, Gage S. Jo, Dane Suh, Erica Dayton, Jonathan B. Larsen, Dallas J. Omdahl, Ashton R. McGuffin, Liam J. Brackenridge, Danielle A. Babbitt, Patricia C. Yunes, Jeffrey M. Fontana, Paolo Zhang, Feng Zhu, Shanfeng You, Ronghui Zhang, Zihan Da Iowa State Univ Vet Microbiol & Prevent Med Ames IA USA Program Bioinformat & Computat Biol Ames IA USA Indiana Univ Bloomington Bloomington IN USA Univ Washington Dept Biomed Informat & Med Educ Seattle WA USA Univ Pennsylvania Dept Syst Pharmacol & Translat Therapeut Philadelphia PA USA Geisel Sch Med Hanover NH USA Dept Mol & Syst Biol Hanover NH USA Geisel Sch Med Dept Microbiol & Immunol Hanover NH USA European Bioinformat Inst EMBL EBI European Mol Biol Lab Hinxton England Program Comp Sci Ames IA USA Hacettepe Univ Dept Comp Engn Ankara Turkey Middle East Tech Univ METU Dept Comp Engn Ankara Turkey Iskenderun Tech Univ Dept Comp Engn Antakya Turkey Middle East Tech Univ Grad Sch Informat CanSyL Ankara Turkey Univ Michigan Dept Computat Med & Bioinformat Ann Arbor MI USA Univ Michigan Dept Biol Chem Ann Arbor MI 48109 USA Achira Labs Bangalore Karnataka India Inst Res Biomedicine IRB Barcelona Barcelona Spain Inst Catalana Recerca Estudis Avancats ICREA Barcelona Spain Barcelona Supercomput Ctr Dept Life Sci INB Coordinat Unit Barcelona Spain Spanish Natl Canc Res Ctr INB GN2 Struct & Computat Biol Programme Barcelona Spain Univ Belgrade Inst Nucl Sci VINCA Lab Bioinformat & Computat Chem Belgrade Serbia Univ Calif Berkeley Dept Bioengineering Mol Cell Biomechan Lab Berkeley CA USA Helmholtz Ctr Infect Res Computat Biol Infect Res Berkeley CA USA Dept Bioengn Berkeley CA USA Dept Mech Engn Berkeley CA USA Univ Bologna Dept Pharm & Biotechnol Bologna Biocomputing Grp Bologna Italy IBIOM Natl Res Council Bologna Italy Univ Bonn INRES Crop Bioinformat Bonn Germany Univ Bonn INRES Crop Bioinformat Bonn Germany Montana State Univ Gianforte Sch Comp Bozeman MT USA Univ Bristol Comp Sci Bristol Avon England Helmholtz Ctr Infect Res Computat Biol Infect Res Braunschweig ME Germany RESIST DFG Cluster Excellence 2155 Braunschweig ME Germany Univ Iibre Bruxelles Vrije Univ Brussel Interunivers Inst Bioinformat Brusse

Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results Here, we report on the results of the third CAFA challenge, CAFA3, that featured an expanded analysis over the previous CAFA rounds, both in terms of volume of data analyzed and the types of analysis performed. In a novel and major new development, computational predictions and assessment goals drove some of the experimental assays, resulting in new functional annotations for more than 1000 genes. Specifically, we performed experimental whole-genome mutation screening in Candida albicans and Pseudomonas aureginosa genomes, which provided us with genome-wide experimental data for genes associated with biofilm formation and motility. We further performed targeted assays on selected genes in Drosophila melanogaster, which we suspected of being involved in long-term memory. Conclusion We conclude that while predictions of the molecular function and biological process annotations have slightly improved over time, those of the cellular component have not. Term-centric prediction of experimental annotations remains equally challenging;although the performance of the top methods is significantly better than the expectations set by baseline methods in C. albicans and D. melanogaster, it leaves considerable room and need for improvement. Finally, we report that the CAFA community now involves a broad range of participants with expertise in bioinformatics, biological experimentation, biocuration, and bio-ontologies, working together to improve functional annotation, computational function prediction, and our ability to manage big data in the era of large experimental screens.

关键词： Protein function prediction Long-term memory Biofilm Critical assessment Community challenge

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Author Correction: Discovery of stimulation-responsive immune enhancers with CRISPR activation

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Nature 2018年第7715期559卷 E13页

作者： Dimitre R Simeonov Benjamin G Gowen Mandy Boontanrart Theodore L Roth John D Gagnon Maxwell R Mumbach Ansuman T Satpathy Youjin Lee Nicolas L Bray Alice Y Chan Dmytro S Lituiev Michelle L Nguyen Rachel E Gate Meena Subramaniam Zhongmei Li Jonathan M Woo Therese Mitros Graham J Ray Gemma L Curie Nicki Naddaf Julia S Chu Hong Ma Eric Boyer Frederic Van Gool Hailiang Huang Ruize Liu Victoria R Tobin Kathrin Schumann Mark J Daly Kyle K Farh K Mark Ansel Chun J Ye William J Greenleaf Mark S Anderson Jeffrey A Bluestone Howard Y Chang Jacob E Corn Alexander Marson Biomedical Sciences Graduate Program University of California San Francisco California 94143 USA. Department of Microbiology and Immunology University of California San Francisco California 94143 USA. Diabetes Center University of California San Francisco California 94143 USA. Innovative Genomics Institute University of California Berkeley California 94720 USA. Department of Molecular and Cell Biology University of California Berkeley Berkeley California 94720 USA. Sandler Asthma Basic Research Center University of California San Francisco California 94143 USA. Center for Personal Dynamic Regulomes Stanford University School of Medicine Stanford California 94305 USA. Program in Epithelial Biology Stanford University School of Medicine Stanford California 94305 USA. Department of Genetics Stanford University School of Medicine Stanford California 94305 USA. Department of Pediatrics University of California San Francisco California 94143 USA. Department of Epidemiology and Biostatistics Department of Bioengineering and Therapeutic Sciences Institute for Human Genetics (IHG) University of California San Francisco California 94143 USA. Biological and Medical Informatics Graduate Program University of California San Francisco California 94158 USA. Broad Institute of MIT and Harvard Cambridge Massachusetts 02142 USA. Analytic and Translational Genetics Unit Massachusetts General Hospital Harvard Medical School Boston Massachusetts 02114 USA. Illumina Inc. 5200 Illumina Way San Diego California 92122 USA. Department of Applied Physics Stanford University Stanford California 94025 USA. Chan Zuckerberg Biohub San Francisco California 94158 USA. Department of Medicine University of California San Francisco California 94143 USA. Innovative Genomics Institute University of California Berkeley California 94720 USA. jcorn@berkeley.edu. Department of Molecular and Cell Biology University of California Berkeley Berkeley Californi

In this Letter, analysis of steady-state regulatory T (Treg) cell percentages from Il2ra enhancer deletion (EDEL) and wild-type (WT) mice revealed no differences between them (Extended Data Fig. 9d). This analysis included two mice whose genotypes were incorrectly assigned. Even after correction of the genotypes, no significant differences in Treg cell percentages were seen when data across experimental cohorts were averaged (as was done in Extended Data Fig. 9d). However, if we normalize the corrected data to account for variation among experimental cohorts, a subtle decrease in EDEL Treg cell percentages is revealed and, using the corrected and normalized data, we have redrawn Extended Data Fig. 9d in Supplementary Fig. 1. The Supplementary Information to this Amendment contains the corrected and reanalysed Extended Data Fig. 9d. The sentence "This enhancer deletion (EDEL) strain also had no obvious T cell phenotypes at steady state (Extended Data Fig. 9)." should read: "This enhancer deletion (EDEL) strain had a small decrease in the percentage of Treg cells (Extended Data Fig. 9).". This error does not affect any of the main figures in the Letter or the data from mice with the human autoimmune-associated single nucleotide polymorphism (SNP) knocked in or with a 12-base-pair deletion at the site (12DEL). In addition, we stated in the Methods that we observed consistent immunophenotypes of EDEL mice across three founders, but in fact, we observed consistent phenotypes in mice from two founders. This does not change any of our conclusions and the original Letter has not been corrected.

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Detection of Isoforms Differing by a Single Charge Unit in Individual Cells

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Angewandte Chemie 2016年第40期128卷

作者： Augusto M. Tentori Kevin A. Yamauchi Amy E. Herr The UC Berkeley/UCSF Graduate Program in Bioengineering Berkeley CA USA Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA USA Department of Bioengineering UC Berkeley 308B Stanley Hall Berkeley CA 94720 USA

To measure protein isoforms in individual mammalian cells, we report single‐cell resolution isoelectric focusing (scIEF) and high‐selectivity immunoprobing. Microfluidic design and photoactivatable materials establish the tunable pH gradients required by IEF and precisely control the transport and handling of each 17‐pL cell lysate during analysis. The scIEF assay resolves protein isoforms with resolution down to a single‐charge unit, including both endogenous cytoplasmic and nuclear proteins from individual mammalian cells.

关键词： Einzelzellanalyse Immunassays Isoelektrische Fokussierung Lab-on-a-Chip Proteomik

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