04403nam 2201021z- 450 991055738870332120231214133703.0(CKB)5400000000042011(oapen)https://directory.doabooks.org/handle/20.500.12854/76366(EXLCZ)99540000000004201120202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSingle Cell AnalysisBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic 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.Research & information: generalbicsscBiology, life sciencesbicsscsingle-cell RNA sequencingcholestatic liver injuryhepatocyte heterogeneityinflammationliver tissue repairsingle cell mass cytometrysingle cell proteomicsnon-small cell lung cancerthree-dimensional tissue culturesnRNA-seqRNA velocitycluster analysiscardiomyocytesseuratcell heterogeneitysarcomasingle-cell analysistotal mRNA leveltranscriptome sizeproteomicsimmunofluorescenceimmunohistochemistryproteingenomebiomedical applicationscommercializationprotein characterizationconventional approachesmicrofluidic technologiessingle cellinfectious diseasepathophysiologytherapeuticsdiagnosticsmicrofluidicssingle-cell cloningmonoclonal cell linessingle-neuron modelsmappingelectrophysiological recordingisolationtherapymicro/nanofluidic devicesmicroelectrode arraytransfectionartificial intelligencelocalized high-risk prostate cancercirculating tumor cellsthree-dimensional (3-D) telomere profilinglaser microdissectionwhole-exome genome sequencingsomatic single nucleotide variantscopy number alterationsprecision medicineResearch & information: generalBiology, life sciencesSantra Tuhin Subhraedt1311916Tseng Fan-GangedtSantra Tuhin SubhraothTseng Fan-GangothBOOK9910557388703321Single Cell Analysis3030556UNINA