human myeloid cell lines k562 (ATCC)
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Human Myeloid Cell Lines K562, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 11235 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 99 stars, based on 11235 article reviews
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1) Product Images from "SARS-CoV-2 spike antibodies cross-react with dengue virus and enhance infection in vitro and in vivo"
Article Title: SARS-CoV-2 spike antibodies cross-react with dengue virus and enhance infection in vitro and in vivo
Journal: Frontiers in Immunology
doi: 10.3389/fimmu.2025.1724625

Figure Legend Snippet: Cross-reactivity and ADE of dengue virus infection by the SARS-CoV-2 anti-RBD antibody CR3022. (A) Confocal digital images of DENV-2 (NGC) infected C6/36 cells stained with CR3022 along with the controls, 4G2 and Rabishield ® (taken from
Techniques Used: Virus, Infection, Staining, Comparison, Fluorescence, Binding Assay, Flow Cytometry, Control
Figure Legend Snippet: ADE of dengue virus infection by SARS-CoV-2 positive patients’ sera in K562 cells. ADE due to convalescent plasma samples collected in the (A) first interval (samples collected from May 2020 to Jan 2021), n = 21, (B) second interval (samples collected from May 2021 to June 2021), n = 17, and (C) third interval (samples collected from February 2022 to April 2022), n = 10. (D) IgG purified (10 µg) from the four convalescent samples showing the strongest ADE activity was assessed for its potential to enhance DENV infection using a dengue clinical strain (IND-60). The bar graph represents the average percentage increase in DENV-positive cells with respect to VC for each sample, with standard deviation for duplicates. Statistical significance was determined using one-way ANOVA followed by Dunnett’s test in GraphPad Prism 8.4.2. Asterisk (*) indicates statistically significant difference between the viral control and serum samples. P-value = 0.1234 (ns), 0.0332 (*), 0.0021 (**), 0.0002 (***), <0.0001 (****). (E) Representative dot plots of patient samples from the first interval (#143, #155), second interval (#96), and third interval (#2, #7). Data was analyzed on FlowJo version 10.8.1.
Techniques Used: Virus, Infection, Clinical Proteomics, Purification, Activity Assay, Standard Deviation, Control
![( A ) Venn diagrams showing the overlap of genes with CEs, CE circles, with the DEGs, DE circles, per genotype as compared to WT samples. ( B ) Venn diagram showing the enrichment of DNA binding protein motifs at the promoters of the DEGs. ( C ) Bubble plot showing the enrichment of DNA binding proteins unique to the double-mutant expression signature and interacting with genes with CEs. The binary matrix on the right side shows which protein (row of the heatmap) physically interacts with which protein coded in a mis-spliced gene (columns of the matrix). ( D ) Bar plot showing the percentage of DNA binding proteins interacting with proteins that contain CEs. ( E ) Bar plot showing the number of chromatin modifiers found with CEs at each genotype. ( F ) Bar plot showing the relative survival of <t>K562</t> cells carrying IDH2 R140Q and/or SRSF2 P95H mutations in response to treatment with different doses of romidepsin. Asterisks indicate statistical significance [ P adj < 0.05 as per analysis of variance (ANOVA) followed by Tukey’s post hoc; shown are only the significant results with respect to the double mutant; N = 3 replicates]. ( G ) Graphical summary of the results of our whole study. Mutations in both IDH2 and SRSF2 genes cause the abnormal promotion of CCNG-rich exons, which code for proteins physically interacting with TFs or complexes that, in turn, regulate the expression of downstream genes, including signaling genes.](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_8512/pmc12758512/pmc12758512__sciadv.adu8292-f6.jpg)
