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return kwic search for molecular out of >500 occurrences
333489 occurrences (No.56 in the rank) during 5 years in the PubMed. [no cache] 500 found

212) Multiplexed study can provide quantitative correlations or inter-relationships among multiple cellular components and molecular markers within a protein network or family in biological processes.

--- ABSTRACT ---

PMID:24710818 DOI:10.1109/TBME.2014.2315437

2015 IEEE transactions on bio-medical engineering

* Multiple-protein detections of single-cells reveal cell-cell heterogeneity in human cells.

- Cell population represents an intrinsically heterogeneous and stochastic system, in which individual cells often behave very differently in molecular contents, functions and even genotypes from the population average in response to uniform physiological stimuli. The traditional bulk cellular analysis often overlooks cellular heterogeneity and does not provide information on cell-cell variations. Single-cell measurements can reveal information obscured in population averages, and enable us to determine distributions rather than averaged properties within a cell population. The level of complexity, with numerous variables acting at the same time, requires multiparametric and dynamic investigation of a large number of single cells. Multiplexed study can provide quantitative correlations or inter-relationships among multiple cellular components and molecular markers within a protein network or family in biological processes. In this paper, we applied multiple fluorophore-conjugated primary antibodies to detect multiple proteins expressed on the same singe cells from a clonal population. To reveal cell-cell heterogeneity, we quantified the histograms of six proteins within a cell population as functions of TNF-α stimulation time. Then, we quantified noise and noise strength of these protein histograms as functions of TNF-α stimulation time. Thirdly, we quantified correlation coefficients of multiple proteins expressed on same single-cells as functions of TNF-α stimulation time. Above parameters demonstrated nonlinear relationships with TNF-α stimulation. Quantification of above parameters on independent cell subpopulations further reveals the cell-cell heterogeneity when exposed to identical environmental conditions. Such cellular heterogeneity will be useful to characterize the disease progression and disease diagnoses.

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(1)52 mechanisms	(19)5 docking	(37)3 recognition	(55)2 heparin
(2)26 weight	(20)5 information	(38)3 serotyping	(56)2 identification
(3)18 data	(21)5 methods	(39)3 sieve	(57)2 knowledge
(4)18 mechanism	(22)5 modeling	(40)3 structure	(58)2 mass
(5)16 dynamics	(23)5 phylogenetic	(41)3 techniques	(59)2 mechanisms,
(6)15 and	(24)5 targets	(42)3 variance	(60)2 or
(7)10 analysis	(25)4 diagnosis	(43)2 Dynamics	(61)2 oxygen
(8)10 basis	(26)4 interactions	(44)2 approach	(62)2 perspectives
(9)8 characterization	(27)4 level	(45)2 biological	(63)2 phenotypic
(10)7 epidemiology	(28)4 level,	(46)2 classification	(64)2 phylogenies
(11)7 genetic	(29)4 responses	(47)2 clock	(65)2 probes
(12)7 imaging	(30)4 target	(48)2 dating	(66)2 profiles
(13)6 biology	(31)3 evolution	(49)2 details	(67)2 subtype
(14)6 changes	(32)3 features	(50)2 diffusion	(68)2 therapies
(15)6 markers	(33)3 levels	(51)2 effects	(69)2 underpinnings
(16)6 pathways	(34)3 marker	(52)2 events
(17)5 analyses	(35)3 medicine	(53)2 evidence
(18)5 characteristics	(36)3 orbital	(54)2 genetics

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--- WordNet output for molecular --- =>分子の Overview of adj molecular The adj molecular has 2 senses (first 1 from tagged texts) 1. (6) molecular -- (relating to or produced by or consisting of molecules; "molecular structure"; "molecular oxygen"; "molecular weight is the sum of all the atoms in a molecule") 2. molecular -- (relating to simple or elementary organization; "proceed by more and more detailed analysis to the molecular facts of perception"--G.A. Miller) --- WordNet end ---