01240nam0 2200421 450 99000079927020331620050513133022.088-420-4180-70079927USA010079927(ALEPH)000079927USA01007992720011210d1993----y0itay01 baitaIT00|||Lezioni di linguisticaJohn LyonsRoma [etc.]Laterza1993VII, 373 p.22 cmManuali Laterza38.Trad. di Walter Pecoraro, Chiara Pisacane2001Manuali Laterza38.2001Language and linguistics26239Linguistica410LYONS,John156459990000799270203316IV.2. 953(XII A 53)130676 LMXII AIV.2. 953b(XII A 53 BIS)150355 LMXII AIV.2. 953a(XII A 53 A)150356XII ABKUMAPATTY9020011210USA01110320020403USA011726PATRY9020040406USA011655COPAT29020050513USA011330Language and linguistics26239UNISA04444nam 2201045z- 450 991055738870332120220111(CKB)5400000000042011(oapen)https://directory.doabooks.org/handle/20.500.12854/76366(oapen)doab76366(EXLCZ)99540000000004201120202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSingle Cell AnalysisBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (254 p.)3-0365-0628-4 3-0365-0629-2 Cells are the most fundamental building block of all living organisms. The investigation of any type of disease mechanism and its progression still remains challenging due to cellular heterogeneity characteristics and physiological state of cells in a given population. The bulk measurement of millions of cells together can provide some general information on cells, but it cannot evolve the cellular heterogeneity and molecular dynamics in a certain cell population. Compared to this bulk or the average measurement of a large number of cells together, single-cell analysis can provide detailed information on each cell, which could assist in developing an understanding of the specific biological context of cells, such as tumor progression or issues around stem cells. Single-cell omics can provide valuable information about functional mutation and a copy number of variations of cells. Information from single-cell investigations can help to produce a better understanding of intracellular interactions and environmental responses of cellular organelles, which can be beneficial for therapeutics development and diagnostics purposes. This Special Issue is inviting articles related to single-cell analysis and its advantages, limitations, and future prospects regarding health benefits.Biology, life sciencesbicsscResearch & information: generalbicsscartificial intelligencebiomedical applicationscardiomyocytescell heterogeneitycholestatic liver injurycirculating tumor cellscluster analysiscommercializationconventional approachescopy number alterationsdiagnosticselectrophysiological recordinggenomehepatocyte heterogeneityimmunofluorescenceimmunohistochemistryinfectious diseaseinflammationisolationlaser microdissectionliver tissue repairlocalized high-risk prostate cancermappingmicro/nanofluidic devicesmicroelectrode arraymicrofluidic technologiesmicrofluidicsmonoclonal cell linesn/anon-small cell lung cancerpathophysiologyprecision medicineproteinprotein characterizationproteomicsRNA velocitysarcomaseuratsingle cellsingle cell mass cytometrysingle cell proteomicssingle-cell analysissingle-cell cloningsingle-cell RNA sequencingsingle-neuron modelssnRNA-seqsomatic single nucleotide variantstherapeuticstherapythree-dimensional (3-D) telomere profilingthree-dimensional tissue culturetotal mRNA leveltranscriptome sizetransfectionwhole-exome genome sequencingBiology, life sciencesResearch & information: generalSantra Tuhin Subhraedt1311916Tseng Fan-GangedtSantra Tuhin SubhraothTseng Fan-GangothBOOK9910557388703321Single Cell Analysis3030556UNINA