sw480 (ATCC)
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sw480
Sw480, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 7419 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/genomic+suite+microarray+data+analysis+software/SW480/pmc08997840-42-4-5
Average 99 stars, based on 7419 article reviews
Sw480, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 7419 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/genomic+suite+microarray+data+analysis+software/SW480/pmc08997840-42-4-5
Average 99 stars, based on 7419 article reviews
sw480 - by Bioz Stars,
2026-10
99/100 stars
Images
1) Product Images from "Folic Acid Treatment Directly Influences the Genetic and Epigenetic Regulation along with the Associated Cellular Maintenance Processes of HT-29 and SW480 Colorectal Cancer Cell Lines"
Article Title: Folic Acid Treatment Directly Influences the Genetic and Epigenetic Regulation along with the Associated Cellular Maintenance Processes of HT-29 and SW480 Colorectal Cancer Cell Lines
Journal: Cancers
doi: 10.3390/cancers14071820
Figure Legend Snippet: ( a ) Cell proliferation and ( b ) cell viability alterations of HT-29 and SW480 colorectal cancer cell lines following different folic acid (FA) supplies. Sulforhodamine B (SRB) was used for cell proliferation detection (* p ≤ 0.05, *** p ≤ 0.001), while cell viability data were obtained by alamarBlue assay (** p ≤ 0.01). FA-depleted cells were kept in media containing 0 ng/mL FA, whereas treated cells were exposed to 100 and 10,000 ng/mL FA for 72 h. The percentages of cell proliferation and viability were given relative to samples kept in the normal growth media. FA: folic acid.
Techniques Used: Alamar Blue Assay
Figure Legend Snippet: Genomic stability detection of HT-29 and SW480 cells exposed to different folic acid (FA) concentrations (0, 100, 10,000 ng/mL). ( a ) Micronucleus (MN) scoring was performed on DAPI- and anti-γ-H2AX-stained slides. Left: We obtained the results by proportioning the cells with MN with all cells counted (** p ≤ 0.01, *** p ≤ 0.001). Right: Representative γ-H2AX-positive micronuclei are indicated with arrows. ( b ) DNA integrity was evaluated with comet assay, additionally. Left: Graphs show the changes in genomic stability in consideration of comet tail DNA percentage (* p ≤ 0.05). Right: Characteristic comets of both cell lines were captured following different treatments. FA: folic acid.
Techniques Used: Staining, Single Cell Gel Electrophoresis
Figure Legend Snippet: DNA methylation analysis of HT-29 and SW480 cell lines exposed to different folic acid (FA) concentrations. The methylation levels of long interspersed nuclear element 1 (LINE-1) CpG positions (pos 1, pos 2, pos 3) were ( a ) summarized and also ( b ) visualized individually to detect global DNA methylation changes. With the use of Reduced Representation Bisulfite Sequencing (RRBS) method, a genome-wide methylome profile of 10,000 ng/mL FA-treated cells was established in the comparison of cells kept in FA-free (0 ng/mL FA) media. ( c ) Firstly, the number of genes with altered methylation in the investigated CpG sites was assessed. “Hyper” and “hypo” sections indicate the number of genes with methylated and unmethylated CpG sites, respectively. The intersection of these two categories refers to the genes that possess both methylated and unmethylated CpG dinucleotides. ( d ) Heatmap shows the top 10 significantly ( p ≤ 0.05) enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways with the number of differentially methylated genes. ( e ) Pie charts represent the localization of differentially methylated sites (DMS) in distinct chromatin states. FA: folic acid; pos: CpG position; hyper: hypermethylation; hypo: hypomethylation; DMSs: differentially methylated sites; heterochrom/lo: heterochromatin or low signal region; txn: transcription; CNV: copy number variation; KEGG: Kyoto Encyclopedia of Genes and Genomes.
Techniques Used: DNA Methylation Assay, Methylation, Methylation Sequencing, Genome Wide, Comparison
Figure Legend Snippet: Genome-wide transcriptome alterations of HT-29 and SW480 cells following 10,000 ng/mL folic acid (FA) supplementation detected by Human Transcriptome Array 2.0 (HTA 2.0). ( a ) Pie charts represent the proportion of up- and downregulated genes. ( b ) Visual networks of protein–protein interactions were generated by the StringApp of Cytoscape software based on the list of genes with significant ( p ≤ 0.05) expression alterations and ≥|1.5| fold change (FC). Colors refer to the expression level of protein-coding genes (dark blue: FC ≤ −2, light blue: FC ≥ −2 and ≤−1.5, light red: FC ≥ 1.5 and ≤2, dark red: FC ≥ 2). ( c ) Top 10 genes showing significant ( p ≤ 0.05) up- and downregulation visualized with volcano plots. Gray points represent all the transcripts detected by HTA 2.0 microarray, while significantly ( p ≤ 0.05) altering genes with FC ≥ |1.5| value were marked with red and blue. P-val: p -value.
Techniques Used: Genome Wide, Protein-Protein interactions, Generated, Software, Expressing, Microarray
Figure Legend Snippet: The intersection of genome-wide DNA methylation and gene expression data obtained by Reduced Representation Bisulfite Sequencing (RRBS) and Human Transcriptome Array (HTA) 2.0 analyses. Values represent the methylome and transcriptome pattern changes of 10,000 ng/mL folic acid (FA)-treated HT-29 and SW480 cells compared to non-treated samples (0 ng/mL FA). Only genes with promoter methylation status alteration in accordance with their expression level ( p ≤ 0.05 and fold change ≥|1.5|) were listed (left) and also visualized in volcano plots (right). Gray points represent all the transcripts detected by the microarray, while blue ones highlight down- and red ones show upregulating genes from the list. met. status: DNA methylation status; met. diff.: DNA methylation difference; expr. status: gene expression status; P-val: p -value.
Techniques Used: Genome Wide, DNA Methylation Assay, Gene Expression, Methylation Sequencing, Methylation, Expressing, Microarray
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