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1.
Cohrs, C.M. ; Chen, C. & Speier, S.: Transplantation of islets of Langerhans into the anterior chamber of the eye for longitudinal in vivo imaging. In: Animal Models of Diabetes. 2020. 149-157 (Methods Mol. Biol. ; 2128)
2.
Estermann, M.* ; Bisig, B. ; Septiadi, D.* ; Petri-Fink, A.* & Rothen-Rutishauser, B.*: Bioprinting for human respiratory and gastrointestinal in vitro models. In: 3D Bioprinting. 2020. 199-215 (Methods Mol. Biol. ; 2140)
3.
Hattwell, J.P.N.* ; Hastings, J.* ; Casanueva, O.* ; Schirra, H.J.* & Witting, M.: Using genome-scale metabolic networks for analysis, visualization, and integration of targeted metabolomics data. In: Computational Methods and Data Analysis for Metabolomics. 2020. 361-386 (Methods Mol. Biol. ; 2104)
4.
Ludwig, B. ; Wolf, E.* ; Schönmann, U.* & Ludwig, S.*: Large animal models of diabetes. In: Animal Models of Diabetes. 2020. 115-134 (Methods Mol. Biol. ; 2128)
5.
Panzer, J.K. ; Cohrs, C.M. & Speier, S.: Using pancreas tissue slices for the study of islet physiology. In:. 2020. 301-312 (Methods Mol. Biol. ; 2128)
6.
Singh, S.P.* & Ninov, N.: Multicolor labeling and tracing of pancreatic beta-cell proliferation in zebrafish. In: Animal Models of Diabetes. 2020. 159-179 (Methods Mol. Biol. ; 2128)
7.
Valera, G. & López-Schier, H.: Live morphometric classification of sensory neurons in larval zebrafish. In: Brain Development. 2020. 411-419 (Methods Mol. Biol. ; 2047)
8.
Artati, A. ; Prehn, C. & Adamski, J.: LC-MS/MS-based metabolomics for cell cultures. In: Cell-Based Assays Using iPSCs for Drug Development and Testing. 2019. 119-130 (Methods Mol. Biol. ; 1994)
9.
Bölükbas, D.A.* ; De Santis, M.M.* ; Alsafadi, H.N.* ; Doryab, A. & Wagner, D.E.*: The preparation of decellularized mouse lung matrix scaffolds for analysis of lung regenerative cell potential. In: Mouse Cell Culture. 2019. 275-295 (Methods Mol. Biol. ; 1940)
10.
di Giaimo, R.* ; Aschenbroich, S. & Ninkovic, J.: Fluorescence-activated cell sorting-based isolation and characterization of neural stem cells from the adult zebrafish telencephalon. In: Astrocytes. 2019. 49-66 (Methods Mol. Biol. ; 1938)
11.
Fröhlich, F. ; Loos, C. & Hasenauer, J.: Scalable inference of ordinary differential equation models of biochemical processes. Methods Mol. Biol. 1883, 385-422 (2019)
12.
Heimann, G.* & Sirko, S.: Investigating age-related changes in proliferation and the cell division repertoire of parenchymal reactive astrocytes. In: Astrocytes. 2019. 277-292 (Methods Mol. Biol. ; 1938)
13.
List, M.* ; Alcaraz, N.* & Batra, R.: De novo pathway-based classification of breast cancer subtypes. In: Protein-Protein Interaction Networks. 2019. 201-213 (Methods Mol. Biol. ; 2074)
14.
Mir, A.A. et al.: In Vivo ChIP-Seq of nuclear receptors: A rough guide to transform frozen tissues into high-confidence genome-wide binding profiles. In: Nuclear Receptors. 2019. 39-70 (Methods Mol. Biol. ; 1966)
15.
Sharma, V. & Hiller, M.*: Coding exon-structure aware realigner (CESAR): Utilizing genome Aaignments for comparative gene annotation. In: Gene Prediction. 2019. 179-191 (Methods Mol. Biol. ; 1962)
16.
van den Bos, H.* et al.: Quantification of aneuploidy in mammalian systems. Methods Mol. Biol. 1896, 159-190 (2019)
17.
Wettmarshausen, J. & Perocchi, F.: Assessing calcium-stimulated mitochondrial bioenergetics using the seahorse XF96 analyzer. In: Calcium Signalling. 2019. 197-222 (Methods Mol. Biol. ; 1925)
18.
Barbet-Massin, E.* ; van der Sluis, E.* ; Musial, J.* ; Beckmann, R.* & Reif, B.: Reconstitution of isotopically labeled ribosomal protein L29 in the 50S large ribosomal subunit for solution-state and solid-state NMR. Methods Mol. Biol. 1764, 87-100 (2018)
19.
Kunze, S.: Quantitative region-specific DNA methylation analysis by the EpiTYPER™ technology. Methods Mol. Biol. 1708, 515-535 (2018)
20.
Leksa, V.* ; Schiller, H. B. & Stockinger, H.*: Biotin-chasing assay to evaluate uPAR stability and cleavage on the surface of cells. 2018. 39-47 ( ; 1731)