Cell cycle detection using phase imaging with computational specificity (PICS)

2021 ◽  
Author(s):  
Yuchen R. He ◽  
Shenghua He ◽  
Mikhail E. Kandel ◽  
Young Jae Lee ◽  
Nahil Sobh ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Phase Imaging ◽  
Cycle Detection

scholarly journals Inhibition of vitamin D analog eldecalcitol on hepatoma in vitro and in vivo

Open Medicine ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 663-671
Author(s):  
Limin Ye ◽  
Liyi Zhu ◽  
Jinglin Wang ◽  
Fei Li
Keyword(s):  
Cell Cycle ◽  
Vitamin D ◽  
Cell Apoptosis ◽  
Control Group ◽  
High Morbidity ◽  
Rt Pcr ◽  
Vitamin D Analog ◽  
E Cadherin ◽  
Cycle Detection

AbstractHepatoma is a serious liver cancer with high morbidity and mortality. Eldecalcitol (ED-71), a vitamin D analog, is extensively used as anti-cancer agent in vitro. Hepatocellular carcinoma cell, SMMC-7721 cell lines were used in this study. Transwell assay, cell apoptosis and cell cycle detection assays were investigated after treatment with ED-71 and phosphate buffered saline (PBS) as control. Sizes of tumors were measured after ED-71 treatment in a mouse model. E-cadherin and Akt gene expressions were detected by real-time PCR (RT-PCR). The results showed that cell invasion and migration were decreased markedly after ED-71 treatment compared to control group. Cell cycle detection showed that the G2 stage was 13.18% and total S-stage was 41.16% in the ED-71 group and G2 stage: 22.88%, total S-stage: 27.34% in the control group. Cell apoptosis rate was promoted in the ED-71 group. Size of the tumors reduced more after the ED-71 treatment than the PBS treatment in mice. ED-71 markedly inhibited the expression of Akt and E-cadherin, either detected by immunohistochemistry or RT-PCR. ED-71 treatment can inhibit the hepatoma agent proliferation by increasing the E-cadherin expression and decreasing Akt expression. Therefore, these findings provide novel evidence that ED-71 can be used as an anti-hepatoma agent.

Immunohistochemistry-based Cell Cycle Detection (iCCD)

2012 ◽  
Vol 36 (5) ◽  
pp. 769-773 ◽  
Author(s):  
Emmy Yanagita ◽  
Shingo Kamoshida ◽  
Naoko Imagawa ◽  
Tomoo Itoh
Keyword(s):  
Cell Cycle ◽  
Cycle Detection

scholarly journals Dry Mass and Cell Cycle Follow-Up from Quantitative Phase Imaging

2014 ◽  
Vol 106 (2) ◽  
pp. 575a
Author(s):  
Julien Savatier ◽  
Sherazade Aknoun ◽  
Pierre Bon ◽  
Lamiae Abdeladim ◽  
Benoit Wattellier ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Dry Mass ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

scholarly journals Cell cycle stage classification using phase imaging with computational specificity

2021 ◽  
Author(s):  
Yuchen He ◽  
Shenghua He ◽  
Mikhail Eugene Kandel ◽  
Young Jae Lee ◽  
Chenfei Hu ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Cell Biology ◽  
Cell Cycle Progression ◽  
Population Distribution ◽  
Live Cells ◽  
Phase Imaging ◽  
Cell Dynamics ◽  
Nuclear Dynamics ◽  
Cell Cycle Stage ◽  
Stage Classification

Traditional methods for cell cycle stage classification rely heavily on fluorescence microscopy to monitor nuclear dynamics. These methods inevitably face the typical phototoxicity and photobleaching limitations of fluorescence imaging. Here, we present a cell cycle detection workflow using the principle of phase imaging with computational specificity (PICS). The proposed method uses neural networks to extract cell cycle-dependent features from quantitative phase imaging (QPI) measurements directly. Our results indicate that this approach attains very good accuracy in classifying live cells into G1, S, and G2/M stages, respectively. We also demonstrate that the proposed method can be applied to study single-cell dynamics within the cell cycle as well as cell population distribution across different stages of the cell cycle. We envision that the proposed method can become a nondestructive tool to analyze cell cycle progression in fields ranging from cell biology to biopharma applications.

scholarly journals Cell Cycle Kinetic Analysis of Colorectal Neoplasms Using a New Automated Immunohistochemistry-Based Cell Cycle Detection Method

Medicine ◽  
2015 ◽  
Vol 94 (4) ◽  
pp. e501 ◽  
Author(s):  
Ayako Tomono ◽  
Tomoo Itoh ◽  
Emmy Yanagita ◽  
Naoko Imagawa ◽  
Yoshihiro Kakeji
Keyword(s):  
Cell Cycle ◽  
Kinetic Analysis ◽  
Colorectal Neoplasms ◽  
Detection Method ◽  
Cell Cycle Kinetic ◽  
Cycle Detection

Diagnostic meaning of immunohistochemistry-based Cell Cycle Detection on human cutaneous tumors derived from keratinocyte

2013 ◽  
Vol 69 (2) ◽  
pp. e23
Author(s):  
Toshinori Bito ◽  
Emmy Yanagita ◽  
Ryosuke Matsuoka ◽  
Tomoo Itoh ◽  
Chikako Nishigori
Keyword(s):  
Cell Cycle ◽  
Cycle Detection

Maytansine-Induced Mitotic Arrest in Human Lymphoblasts

1977 ◽  
Vol 35 ◽  
pp. 460-461
Author(s):  
Tai-Te Chao ◽  
John Sullivan ◽  
Awtar Krishan
Keyword(s):  
Electron Microscopy ◽  
Cell Cycle ◽  
Transmission Electron Microscopy ◽  
Tubulin Polymerization ◽  
Vinca Alkaloids ◽  
Antimitotic Activity ◽  
Transmission Electron ◽  
Flow Microfluorometry ◽  
Brain Tubulin

Maytansine, a novel ansa macrolide (1), has potent anti-tumor and antimitotic activity (2, 3). It blocks cell cycle traverse in mitosis with resultant accumulation of metaphase cells (4). Inhibition of brain tubulin polymerization in vitro by maytansine has also been reported (3). The C-mitotic effect of this drug is similar to that of the well known Vinca- alkaloids, vinblastine and vincristine. This study was carried out to examine the effects of maytansine on the cell cycle traverse and the fine struc- I ture of human lymphoblasts.Log-phase cultures of CCRF-CEM human lymphoblasts were exposed to maytansine concentrations from 10-6 M to 10-10 M for 18 hrs. Aliquots of cells were removed for cell cycle analysis by flow microfluorometry (FMF) (5) and also processed for transmission electron microscopy (TEM). FMF analysis of cells treated with 10-8 M maytansine showed a reduction in the number of G1 cells and a corresponding build-up of cells with G2/M DNA content.

Fibronexus-Like Adhesion Sites are Present at the Invasive Zones of Human Epidermoid Carcinomas

1982 ◽  
Vol 40 ◽  
pp. 106-109
Author(s):  
Irwin I. Singer
Keyword(s):  
Cell Cycle ◽  
Serum Concentration ◽  
Substrate Binding ◽  
High Serum ◽  
Adhesion Sites ◽  
Substrate Adhesion ◽  
Focal Contacts ◽  
Adhesion Complex ◽  
Low Serum

Our previous results indicate that two types of fibronectin-cytoskeletal associations may be formed at the fibroblast surface: dorsal matrixbinding fibronexuses generated in high serum (5% FBS) cultures, and ventral substrate-adhering units formed in low serum (0.3% FBS) cultures. The substrate-adhering fibronexus consists of at least vinculin (VN) and actin in its cytoplasmic leg, and fibronectin (FN) as one of its major extracellular components. This substrate-adhesion complex is localized in focal contacts, the sites of closest substratum approach visualized with interference reflection microscopy, which appear to be the major points of cell-tosubstrate adhesion. In fibroblasts, the latter substrate-binding complex is characteristic of cultures that are arrested at the G1 phase of the cell cycle due to the low serum concentration in their medium. These arrested fibroblasts are very well spread, flattened, and immobile.

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