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333 results for “HepG2 cells”
Differential interference contrast (DIC) image of unstained living HepG2 human liver cancer cells
<p><strong>Introduction</strong></p> <p>This dataset is associated with our submission to Computers in Biology and Medicine, titled "Accurate Detection and Instance Segmentation of Unstained Living Adherent Cells in Differential Interference Contrast Images". The submission number for this manuscript is CIBM-D-23-09623R1.</p> <p><strong>Authors</strong>: Fei Pan, Yutong Wu, Kangning Cui, Shuxun Chen, Yanfang Li, Yaofang Liu, Adnan Shakoor, Han Zhao, Beijia Lu, Shaohua Zhi, Raymond Hon-Fu Chan, Dong Sun</p> <p><strong>Dataset Description</strong></p> <p>Our dataset comprises 520 differential interference contrast (DIC) images of 12,198 unstained HepG2 human liver cancer cells, each with a corresponding fluorescence image stained with calcein acetoxymethyl (AM), ensuring high-quality ground-truth annotations. Unique in addressing the multi-state nature of adherent cells commonly seen in wet labs, it includes both healthy and unhealthy cells in a single image, providing a valuable resource for studying multi-state cell detection and instance segmentation.<br>Citation</p> <p>We kindly request that researchers who use this dataset cite both our paper and this dataset. This will help acknowledge the work and facilitate further advancements in the field.</p> <p><br><strong>Please cite as follows:</strong></p> <p><strong>Paper:</strong><br>Pan, F., Wu, Y., Cui, K., Chen, S., Li, Y., Liu, Y., Shakoor, A., Zhao, H., Lu, B., Zhi, S., Chan, R. H.-F., & Sun, D. "Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images,” <em>Computers in Biology and Medicine</em>, vol. 182, p. 109151, Nov. 2024, doi: 10/g5p9d8.</p> <p><strong>Dataset:</strong><br>Pan, F., Chen, S., Li, Y., Shakoor, A., Zhao, H., & Sun, D. (2024). Differential interference contrast (DIC) image of unstained living HepG2 human liver cancer cells. Zenodo. </p> <p>Thank you for your interest and support in our work. We look forward to seeing the innovative research that this dataset will enable.</p> <p> </p> <p> </p>
Wound Healing and Fluorescence Analyzes of Theranekron D6 AppliedAML-12 and HepG2 cells
<p>This file includes original jpeg files of wound closure area calculation of AML-12 and HepG2 cells and fluorescence microscopy photos of TD6 applied AML-12 and HepG2 cells uniquely.</p>
Red rice bran polyphenols suppress invasive properties of HepG2 cells, possibly through Wnt/β-catenin-mediated EMT reversal.
<p>Data collection in its raw form is performed in a specific sequence dictated by the manuscript.</p>
Dataset to "Collagen I Increases Palmitate-Induced Lipotoxicity in HepG2 Cells via Integrin-Mediated Death"
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Raw data for: Artificial cells eavesdropping on HepG2 cells
<p><span>Cellular communication between artificial and natural cells are explored by fabricating hydrogel based artificial cells (ACs) that can eavesdrop on liver cells with regards to their cytochrome P450 (CYP450) activity. ACs are capable of eavesdropping on HepG2 cells by releasing D-cysteine and the D-cysteine release from ACs is quantified by colorimetric and luminometric detection. The CYP450 activity of HepG2 cells is evaluated by the production of 2-cyano-6-hydroxybenzothiazole (CHB), which react with D-cysteine to produce D-luciferin. Thereby, the capability of ACs to eavesdrop on HepG2 cells is measured by detecting D-luciferin in the presence of luciferase. The eavesdropping experiment is performed in different experimental set ups, but is centered around the production of D-luciferin due to the production of CHB by HepG2 cells and D-cysteine release from ACs. In addition, bright field microscopy and confocal laser scanning microscopy was performed to visualize the ACs and aggregates of ACs and HepG2 cells. </span></p> <p><span>Our findings thereby present means of designing communication between AC and mammalian cells. Further, the ACs provides an easily implemented approach to monitor a core hepatic function when co-cultured with hepatocytes.</span></p>
Fig. 10. Compound 4 induced HepG2 cells apoptosis. HepG2 in Artemidubolides A T, cytotoxic unreported guaiane-type sesquiterpenoid dimers against three hepatoma cell lines from Artemisia dubia
Fig. 10. Compound 4 induced HepG2 cells apoptosis. HepG2 cells were treated with different concentrations (0.0, 3.5, 7.0, and 10.5 μM) of 4 for 48 h. (A) and (B) Flow cytometric analysis and cell apoptosis quantification of HepG2 cells. (C) and (D) The apoptosis-related protein levels in hepatoma cells treated with compound 4 for 48 h. Western blot and statistical results of Bax, BCL-2, PARP-1, and cleaved-PARP-1. The results were normalized to the β-actin loading control. *P <0.05, **P <0.01, and ***P <0.001, n = 3.
Fig. 6 in Germacranolide- and guaianolide-type sesquiterpenoids from Achillea alpina L. reduce insulin resistance in palmitic acid-treated HepG2 cells via inhibition of the NLRP3 inflammasome pathway
Fig. 6. The inhibitory effects of 4 on the production of IL-1β and ROS in HepG2-IR cells. The expression levels of IL-1β were measured by ELISA analysis (A), Fluorescence intensity of ROS was recorded by a multimode microplate reader (B). ##P <0.01 vs CON group, *P <0.05, **P <0.01 vs PA treatment group.
Fig. 5 in Germacranolide- and guaianolide-type sesquiterpenoids from Achillea alpina L. reduce insulin resistance in palmitic acid-treated HepG2 cells via inhibition of the NLRP3 inflammasome pathway
Fig. 5. The glucose consumption assay of compounds 4–6, 10 and 11 in different concentrations. The concentrations of these compounds were from 1.56 to 50 μM, ROSI was the positive control. *p <0.05, **p <0.01, compared to the PA treatment group. ##p <0.01, compared to the control (CON) group.
Fig. 7 in Germacranolide- and guaianolide-type sesquiterpenoids from Achillea alpina L. reduce insulin resistance in palmitic acid-treated HepG2 cells via inhibition of the NLRP3 inflammasome pathway
Fig. 7. Inhibitory effects of 4 on the expression of proteins related to NLRP3 inflammasome in PA-induced HepG2-IR cells. Representative protein bands of Western blot (A and B). Densitometric analysis of the Western blot analysis results (C). Glibenclamide (1 μM, Gliben) was a positive control. ##P <0.01 vs CON group, *P <0.05, **P <0.01 vs PA treatment group.
Raw data for: Artificial cells eavesdropping on HepG2 cells
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Data from: Identification of the additional mitochondrial liabilities of 2-hydroxyflutamide when compared to its parent compound, flutamide in HepG2 cells
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Antioxidant and anti-inflammatory function of walnut green husk aqueous extract (WNGH-AE) on human hepatocellular carcinoma cells (HepG2) treated with t-BHP
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Fig. 3 in Germacranolide- and guaianolide-type sesquiterpenoids from Achillea alpina L. reduce insulin resistance in palmitic acid-treated HepG2 cells via inhibition of the NLRP3 inflammasome pathway
Fig. 3. Experimental and calculated ECD spectra of 1–8.
Fig. 2. 1H–1H in Germacranolide- and guaianolide-type sesquiterpenoids from Achillea alpina L. reduce insulin resistance in palmitic acid-treated HepG2 cells via inhibition of the NLRP3 inflammasome pathway
Fig. 2. 1H–1H COSY, key HMBC and ROESY correlations of compounds 1 and 6–8.
Fig. 1 in Germacranolide- and guaianolide-type sesquiterpenoids from Achillea alpina L. reduce insulin resistance in palmitic acid-treated HepG2 cells via inhibition of the NLRP3 inflammasome pathway
Fig. 1. Structures of compounds 1–20 isolated from A. alpina.
miRNA changes after overexpression of uc.372 in HepG2 cells
GEO Series GSE106366. Homo sapiens. 2 samples. Type: Non-coding RNA profiling by array.
sRNA sequencing to compare small non-coding RNA profiles of hepatocellular carcinoma cell lines Huh7, HepG2, and Hep3B against the normal liver cell HL7702
GEO Series GSE215349. Homo sapiens. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Transcriptome analysis of the HepG2 cells expressing hepatic transcription factors
GEO Series GSE115423. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of the transcriptional profile of Zika virus-infected HepG2 cells
GEO Series GSE147093. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Expression Profiles of mRNAs and microRNAs in HepG2 cells treated with Cyclosporin A and solvent control
GEO Series GSE45802. Rattus norvegicus; Homo sapiens; Mus musculus. 72 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
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International Brain Laboratory public data
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OpenNeuro
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