human colorectal carcinoma line lovo (ATCC)
Structured Review
![Validation of cell-surface SLC35D3 expression in cancer cell lines by flow cytometry and comparison with CCLE transcriptomic data. Flow cytometry histograms of cell-surface SLC35D3 staining in human cancer cell lines (HCT 116, <t>LoVo,</t> QGP-1, NCI–H1930, and SNU-16). For each cell line, the MFI ratio (anti-SLC35D3/isotype) and the corresponding mRNA expression level (log2[TPM+1]) from the CCLE are indicated below the histogram. HCT 116 served as a negative control and showed minimal surface staining, consistent with a CCLE value of log2[TPM+1] = 0.0.](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_6901/pmc13096901/pmc13096901__gr3.jpg)
Human Colorectal Carcinoma Line Lovo, supplied by ATCC, used in various techniques. Bioz Stars score: 97/100, based on 2776 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/lovo/pmc13096901-35-37-42?v=ATCC
Average 97 stars, based on 2776 article reviews
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1) Product Images from "Integrated transcriptomic and proteomic validation identifies SLC35D3 as a tumor-selective surface antigen for colorectal and neuroendocrine carcinomas"
Article Title: Integrated transcriptomic and proteomic validation identifies SLC35D3 as a tumor-selective surface antigen for colorectal and neuroendocrine carcinomas
Journal: Biochemistry and Biophysics Reports
doi: 10.1016/j.bbrep.2026.102587
Figure Legend Snippet: Validation of cell-surface SLC35D3 expression in cancer cell lines by flow cytometry and comparison with CCLE transcriptomic data. Flow cytometry histograms of cell-surface SLC35D3 staining in human cancer cell lines (HCT 116, LoVo, QGP-1, NCI–H1930, and SNU-16). For each cell line, the MFI ratio (anti-SLC35D3/isotype) and the corresponding mRNA expression level (log2[TPM+1]) from the CCLE are indicated below the histogram. HCT 116 served as a negative control and showed minimal surface staining, consistent with a CCLE value of log2[TPM+1] = 0.0.
Techniques Used: Biomarker Discovery, Expressing, Flow Cytometry, Comparison, Staining, Negative Control