scholarly journals Automated quantitative analysis of multiple cardiomyocytes at the single-cell level with three-dimensional holographic imaging informatics

2018 ◽  
Vol 11 (12) ◽  
pp. e201800116 ◽  
Author(s):  
Inkyu Moon ◽  
Keyvan Jaferzadeh ◽  
Ezat Ahmadzadeh ◽  
Bahram Javidi
Keyword(s):  
Quantitative Analysis ◽  
Single Cell ◽  
Three Dimensional ◽  
Imaging Informatics ◽  
Single Cell Level ◽  
Cell Level ◽  
Holographic Imaging

Quantitative Analysis of Multiple Proteins of Different Invasive Tumor Cell Lines at the Same Single-Cell Level

Small ◽  
2018 ◽  
Vol 14 (17) ◽  
pp. 1703684 ◽  
Author(s):  
Xiangchun Zhang ◽  
Ru Liu ◽  
Qingming Shu ◽  
Qing Yuan ◽  
Gengmei Xing ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Tumor Cell ◽  
Single Cell ◽  
Cell Lines ◽  
Single Cell Level ◽  
Tumor Cell Lines ◽  
Cell Level ◽  
Invasive Tumor

scholarly journals In situelectro-sequencing in three-dimensional tissues

2021 ◽  
Author(s):  
Qiang Li ◽  
Zuwan Lin ◽  
Ren Liu ◽  
Xin Tang ◽  
Jiahao Huang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Three Dimensional ◽  
Cell Types ◽  
Developmental Trajectory ◽  
Single Cell Level ◽  
Cell Level ◽  
Cell Gene Expression ◽  
Cell Gene

AbstractPairwise mapping of single-cell gene expression and electrophysiology in intact three-dimensional (3D) tissues is crucial for studying electrogenic organs (e.g., brain and heart)1–5. Here, we introducein situelectro-sequencing (electro-seq), combining soft bioelectronics within situRNA sequencing to stably map millisecond-timescale cellular electrophysiology and simultaneously profile a large number of genes at single-cell level across 3D tissues. We appliedin situelectro-seq to 3D human induced pluripotent stem cell-derived cardiomyocyte (hiPSC-CM) patches, precisely registering the CM gene expression with electrophysiology at single-cell level, enabling multimodalin situanalysis. Such multimodal data integration substantially improved the dissection of cell types and the reconstruction of developmental trajectory from spatially heterogeneous tissues. Using machine learning (ML)-based cross-modal analysis,in situelectro-seq identified the gene-to-electrophysiology relationship over the time course of cardiac maturation. Further leveraging such a relationship to train a coupled autoencoder, we demonstrated the prediction of single-cell gene expression profile evolution using long-term electrical measurement from the same cardiac patch or 3D millimeter-scale cardiac organoids. As exemplified by cardiac tissue maturation,in situelectro-seq will be broadly applicable to create spatiotemporal multimodal maps and predictive models in electrogenic organs, allowing discovery of cell types and gene programs responsible for electrophysiological function and dysfunction.

Quantitative analysis “at the single cell level” of the novel CD28-CD11b-subpopulation of CD8+ T lymphocytes

1998 ◽  
Vol 16 ◽  
pp. S95 ◽  
Author(s):  
A. Lonati ◽  
S. Licenziati ◽  
M. Marcelli ◽  
D. Canaris ◽  
G. Pasolini ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
T Lymphocytes ◽  
Single Cell ◽  
Single Cell Level ◽  
The Novel ◽  
Cell Level ◽  
Cd8 T Lymphocytes

scholarly journals 2P323 Quantitative Analysis of Expressed Rare Messages in Single Cell Level using Gold Nano-Particles

2005 ◽  
Vol 45 (supplement) ◽  
pp. S200
Author(s):  
H. Kim ◽  
A. Kira ◽  
H. Kohno ◽  
K. Matsumura ◽  
K. Orita ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Single Cell ◽  
Nano Particles ◽  
Single Cell Level ◽  
Cell Level ◽  
Gold Nano Particles

Measurement of cytokine release by human cells A quantitative analysis at the single cell level using the reverse haemolytic plaque assay

1990 ◽  
Vol 127 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Claire E. Lewis ◽  
Sean P. McCarthy ◽  
Polly S. Richards ◽  
Johann Lorenzen ◽  
Elizabeth Horak ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Single Cell ◽  
Plaque Assay ◽  
Human Cells ◽  
Single Cell Level ◽  
Cytokine Release ◽  
Cell Level ◽  
Reverse Haemolytic Plaque Assay

scholarly journals FluidFM for single-cell biophysics

Nano Research ◽  
2021 ◽  
Author(s):  
Mi Li ◽  
Lianqing Liu ◽  
Tomaso Zambelli
Keyword(s):  
Single Cell ◽  
Three Dimensional ◽  
Cell Biophysics ◽  
Single Cell Level ◽  
Cell Level ◽  
Force Microscopy ◽  
Atomic Force ◽  
Underlying Mechanisms ◽  
Aqueous Conditions ◽  
Cell Force

AbstractFluidic force microscopy (FluidFM), which combines atomic force microscopy (AFM) with microchanneled cantilevers connected to a pressure controller, is a technique allowing the realization of force-sensitive nanopipette under aqueous conditions. FluidFM has unique advantages in simultaneous three-dimensional manipulations and mechanical measurements of biological specimens at the micro-/nanoscale. Over the past decade, FluidFM has shown its potential in biophysical assays particularly in the investigations at single-cell level, offering novel possibilities for discovering the underlying mechanisms guiding life activities. Here, we review the utilization of FluidFM to address biomechanical and biophysical issues in the life sciences. Firstly, the fundamentals of FluidFM are represented. Subsequently, the applications of FluidFM for biophysics at single-cell level are surveyed from several facets, including single-cell manipulations, single-cell force spectroscopy, and single-cell electrophysiology. Finally, the challenges and perspectives for future progressions are provided.

scholarly journals Method for quantitative analysis of nonsense-mediated mRNA decay at the single cell level

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Anton P. Pereverzev ◽  
Nadya G. Gurskaya ◽  
Galina V. Ermakova ◽  
Elena I. Kudryavtseva ◽  
Nadezhda M. Markina ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Single Cell ◽  
Mrna Decay ◽  
Single Cell Level ◽  
Cell Level ◽  
Nonsense Mediated Mrna Decay
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