NDLI: Multiple-Protein Detections of Single-Cells Reveal Cell

Content Provider	IEEE Xplore Digital Library
Author	Jingwen Chai Qing Song
Copyright Year	1964
Abstract	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.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Starting Page	30
Ending Page	38
Page Count	9
File Size	2477360
File Format	PDF
ISSN	00189294
Volume Number	62
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proteins Sociology Protein engineering Noise Histograms Fluorescence single-cell analysis Cell–cell heterogeneity cell–cell variability endothelial inflammation multiple protein detection
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Differentially-expressed genes associated with glycophosphatidylinositol (GPI)-anchored proteins by diabetes-related toxic substances in human endothelial cells

Expression profile analysis of human umbilical vein endothelial cells treated with salvianolic acid B from Salvia miltiorrhiza

Quantitative Time-Lapse Fluorescence Microscopy in Single Cells

Innovative Tools and Technology for Analysis of Single Cells and Cell–Cell Interaction

Detection and Analysis of Protein Aggregation with Confocal Single Molecule Fluorescence Spectroscopy

Computer Aided Analysis of Cell-Cycle Phase from Cytophotometric Histogram

Functional screening of altered microRNA expression in 3-methylcholanthrene-treated human umbilical vein endothelial cells

Directing human embryonic stem cells towards functional endothelial cells easily and without purification

Single-cell analysis of embryoid body heterogeneity using microfluidic trapping array

Multiple-Protein Detections of Single-Cells Reveal Cell–Cell Heterogeneity in Human Cells

Similar Documents

Differentially-expressed genes associated with glycophosphatidylinositol (GPI)-anchored proteins by diabetes-related toxic substances in human endothelial cells

Expression profile analysis of human umbilical vein endothelial cells treated with salvianolic acid B from Salvia miltiorrhiza

Quantitative Time-Lapse Fluorescence Microscopy in Single Cells

Innovative Tools and Technology for Analysis of Single Cells and Cell–Cell Interaction

Detection and Analysis of Protein Aggregation with Confocal Single Molecule Fluorescence Spectroscopy

Computer Aided Analysis of Cell-Cycle Phase from Cytophotometric Histogram

Functional screening of altered microRNA expression in 3-methylcholanthrene-treated human umbilical vein endothelial cells

Directing human embryonic stem cells towards functional endothelial cells easily and without purification

Single-cell analysis of embryoid body heterogeneity using microfluidic trapping array

Multiple-Protein Detections of Single-Cells Reveal Cell–Cell Heterogeneity in Human Cells