Targeted Single‐Cell Therapeutics with Magnetic Tubular Micromotor by One‐Step Exposure of Structured Femtosecond Optical Vortices

2019 ◽  
Vol 29 (45) ◽  
pp. 1905745 ◽  
Author(s):  
Liang Yang ◽  
Xiaoxiao Chen ◽  
Li Wang ◽  
Zhijiang Hu ◽  
Chen Xin ◽  
...  
Keyword(s):  
Single Cell ◽  
Optical Vortices ◽  
Cell Therapeutics ◽  
One Step

scholarly journals Establishing correlation of axial and vertical force of cardiac artificial tissue using a novel micromachined sensor

2020 ◽  
Author(s):  
Angelo Gaitas ◽  
Francesca Stillitano ◽  
Irene Turnbull
Keyword(s):  
Single Cell ◽  
Axial Force ◽  
Cardiac Tissue ◽  
Heart Function ◽  
Heart Tissue ◽  
Vertical Force ◽  
Force Microscopy ◽  
Artificial Tissue ◽  
One Step ◽  
Engineered Tissue

AbstractCardiomyocytes iPSC (iPSC-CMs) have great potential for cell therapy, drug assessment, and for understanding the pathophysiology and genetic underpinnings of cardiac diseases. Contraction forces are one of the most important characteristics of cardiac function and are predictors of healthy and diseased states. Cantilever techniques, such as atomic force microscopy, measure the vertical force of a single cell, while systems designed to more closely resemble the physical heart function, such as cardiac tissue on posts, measure the axial force. One important question is how do these two force measurements correlate? By establishing a correlation of the axial and vertical force we will be one step closer in being able to use single cell iPSC instead of more elaborate human engineered tissue or animal heart tissue as models. A novel micromachined sensor for measuring force contractions of artificial tissue has been developed. Using this novel sensor a correlation between axial force and vertical force is experimentally established. This finding supports the use of vertical measurements as an alternative to tissue measurements.

scholarly journals One step DNA amplification of mammalian cells in picoliter microwell arrays

RSC Advances ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 2865-2869 ◽  
Author(s):  
Wenwen Liu ◽  
Zhao Li ◽  
Yuanjie Liu ◽  
Qingquan Wei ◽  
Yong Liu ◽  
...  
Keyword(s):  
Single Cell ◽  
Mammalian Cells ◽  
Dna Amplification ◽  
Single Copy ◽  
Microwell Array ◽  
One Step

One-step PCR of a single cell in a picoliter microwell array was developed and applied to detect a target with the sensitivity of a single copy.

Co-detection of ALDH1A1, ABCG2, ALCAM and CD133 in three A549 subpopulations at the single cell level by one-step digital RT-PCR

2018 ◽  
Vol 10 (6) ◽  
pp. 364-369 ◽  
Author(s):  
Yanan Xu ◽  
Jiumei Hu ◽  
Qiangyuan Zhu ◽  
Qi Song ◽  
Ying Mu
Keyword(s):  
Stem Cell ◽  
Cancer Stem Cell ◽  
Single Cell ◽  
Single Cell Level ◽  
Cell Analysis ◽  
Rt Pcr ◽  
Cell Level ◽  
One Step ◽  
Single Cancer ◽  
Co Detection

Single cancer stem cell analysis of four biomarker genes by microfluidic one-step digital RT-PCR.

scholarly journals Microdroplet-based one-step RT-PCR for ultrahigh throughput single-cell multiplex gene expression analysis and rare cell detection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jennifer Ma ◽  
Gary Tran ◽  
Alwin M. D. Wan ◽  
Edmond W. K. Young ◽  
Eugenia Kumacheva ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Single Cells ◽  
Cell Populations ◽  
Cell Detection ◽  
Rt Pcr ◽  
One Step ◽  
Cell Gene

AbstractGene expression analysis of individual cells enables characterization of heterogeneous and rare cell populations, yet widespread implementation of existing single-cell gene analysis techniques has been hindered due to limitations in scale, ease, and cost. Here, we present a novel microdroplet-based, one-step reverse-transcriptase polymerase chain reaction (RT-PCR) platform and demonstrate the detection of three targets simultaneously in over 100,000 single cells in a single experiment with a rapid read-out. Our customized reagent cocktail incorporates the bacteriophage T7 gene 2.5 protein to overcome cell lysate-mediated inhibition and allows for one-step RT-PCR of single cells encapsulated in nanoliter droplets. Fluorescent signals indicative of gene expressions are analyzed using a probabilistic deconvolution method to account for ambient RNA and cell doublets and produce single-cell gene signature profiles, as well as predict cell frequencies within heterogeneous samples. We also developed a simulation model to guide experimental design and optimize the accuracy and precision of the assay. Using mixtures of in vitro transcripts and murine cell lines, we demonstrated the detection of single RNA molecules and rare cell populations at a frequency of 0.1%. This low cost, sensitive, and adaptable technique will provide an accessible platform for high throughput single-cell analysis and enable a wide range of research and clinical applications.

Single-cell RNA sequencing: one step closer to the clinic

2021 ◽  
Author(s):  
Romanos Sklavenitis-Pistofidis ◽  
Gad Getz ◽  
Irene Ghobrial
Keyword(s):  
Single Cell ◽  
Rna Sequencing ◽  
Single Cell Rna Sequencing ◽  
One Step

scholarly journals A Novel Single Cell Culture Chip Based on One-Step Method

2018 ◽  
Vol 36 (1) ◽  
pp. 132-138
Author(s):  
Fang Ye ◽  
Meiying He ◽  
Jin Xie ◽  
Li Xie ◽  
Honglong Chang ◽  
...  
Keyword(s):  
Cell Culture ◽  
Single Cell ◽  
Research Focus ◽  
Step Method ◽  
One Step ◽  
Basic Biology ◽  
Single Cell Culture ◽  
Micromolding In Capillaries ◽  
Biology Research

More and more basic biology research focus on the single cell level. However, the way to fabricate a chemically patterned surface exist some questions such as complex fabrication process, graphic quality puzzle and so on. In this paper, we present a One-Step method based on Poly 2-hydroxyethyl methacrylate (PolyHEMA) and micromolding in capillaries (MIMIC) technology to fabricate single cell culture chip. Experimental evidence indicates that the integrity and stability of the PolyHEMA pattern can perfectly satisfy the need of long-term cell culture.

scholarly journals Single-Cell Sequencing Analysis and Weighted Co-Expression Network Analysis Based on Public Databases Identified That TNC Is a Novel Biomarker for Keloid

2021 ◽  
Vol 12 ◽  
Author(s):  
Jiaheng Xie ◽  
Liang Chen ◽  
Yuan Cao ◽  
Dan Wu ◽  
Wenwen Xiong ◽  
...  
Keyword(s):  
Network Analysis ◽  
Single Cell ◽  
Rna Sequencing ◽  
Potential Role ◽  
Differential Expression Analysis ◽  
Sequencing Analysis ◽  
Sequencing Data ◽  
Normal Tissues ◽  
Keloid Formation ◽  
One Step

BackgroundThe pathophysiology of keloid formation is not yet understood, so the identification of biomarkers for kelod can be one step towards designing new targeting therapies which will improve outcomes for patients with keloids or at risk of developing keloids.MethodsIn this study, we performed single-cell RNA sequencing analysis, weighted co-expression network analysis, and differential expression analysis of keloids based on public databases. And 3 RNA sequencing data from keloid patients in our center were used for validation. Besides, we performed QRT-PCR on keloid tissue and adjacent normal tissues from 16 patients for further verification.ResultsWe identified the sensitive biomarker of keloid: Tenascin-C (TNC). Then, Pseudotime analysis found that the expression level of TNC decreased first, then stabilized and finally increased with fibroblast differentiation, suggesting that TNC may play an potential role in fibroblast differentiation. In addition, there were differences in the infiltration level of macrophages M0 between the TNC-high group and the TNC-low group. Macrophages M0 had a higher infiltration level in low TNC- group (P<0.05).ConclusionOur results can provide a new idea for the diagnosis and treatment of keloid.

Sign in / Sign up

Export Citation Format

Share Document