
| Sample Type | Sample Requirements |
|---|---|
| Human, Animal Genomic DNA | Provide ≥2ug; remove RNA and protein residues; concentration ≥20ng/ul, based on Qubit quantification |
| Fresh Frozen Tissue | Provide not less than 10-30mg tissue; store at -20°C or -80°C freezer |
| Cultured Cells | Provide not less than 2x10^6 cells; collect adherent or suspended cells, wash once with PBS, centrifuge at 600g for 5 minutes, remove supernatant PBS after centrifugation, retain cell pellet |
| Whole Blood Sample | Provide 0.5-2ml peripheral blood or buffy coat; place in 1.5/2.0ml centrifuge tube; avoid tubes containing anticoagulants that may interfere with analysis |
| Paraffin-embedded FFPE | Provide ≥1ug; fragment main band larger than 500bp; concentration ≥20ng/ul; based on Qubit quantification |
| Provide not less than 15 slides, tissue area not less than 1cm², 4-10μM thick; tumor cell proportion not less than 30%; place slides in 1.5/2.0 ml centrifuge tube | |
| Plasma/Serum/cfDNA | Provide >15ng cfDNA, no large fragment genome, mononucleosome cfDNA proportion not less than 50% |
| Provide 1-4ml plasma/serum |
Methylation profiling identifies two subclasses of squamous cell carcinoma related to distinct cells of origin.
Journal: NATURE COMMUNICATIONS (IF=16)
Technology: Illumina DNA methylation chip and RNA-seq.
Research Background: Squamous cell carcinoma (cSCC) is a malignant tumor that occurs in epidermal or adnexal cells. It is a prevalent type of skin cancer, usually caused by the progression of precancerous lesions induced by ultraviolet radiation, known as actinic keratosis (AK). The majority of epigenetic changes associated with cSCC are primarily composed of a moderate number of cancer-related genes, silenced by high CpG island promoter methylation. However, only partial understanding exists towards the etiology of AK and its crucial transition process into cSCC.
Research Findings: This study explores DNA methylation changes during the progression from healthy epidermal cells to AK and finally to Cutaneous SCC. It provides the most comprehensive epigenomic analysis of cSCC development to date. The findings highlight the existence of two distinct subclasses of cSCC, reflecting differentiation stages of diverse cell origins.


Q1: What sites from 850K chip are preserved in the design of 935K chip?
A2: In the upgrade to the methylation chip, the following site information have been retained: 1) CpG islands 2) Non-CpG methylation sites in human stem cells (CHH sites) 3) ENCODE open chromatin and enhancers 4) FANTOM5 enhancers 5) Deoxynucleotidyl transferase hypersensitive sites 6) miRNA promoter regions 7) It covers more than 85% of sites in the Infinium Methylation 450 BeadChip.
Q2: What additional loci does the 935K chip incorporate on the basis of the 850K chip?
A2: The following loci have principally been added: 1) Differential methylation sites identified in tumor samples and normal samples across multiple cancers. 2) Enhancers and super-enhancers identified in cancer and cell line samples through ChIP-Seq. 3) Differentially accessible chromatin regions identified in primary human cancers with ATAC-Seq. 4) Expanded coverage of CpG islands. 5) Enhanced exome coverage that allows for accurate detection of CNVs. 6) Common cancer driver mutations.
Q3. Can the data from the 935K chip be analyzed together with the data from the 850K chip?
A3: Yes, overlapping sites from the 850K chip and the 935K chip as listed in question 1 can be analyzed together.
Q4. Does the type of samples the 935K chip can process differ from those that the 850K chip can handle?
A4: No, types of samples capable of being processed by the 850K chip can equally be processed by the 935K chip.
Q5. What is the requirement for the number of samples in a single experiment?
A5: ZKPR is currently one of the largest methylation chip platforms in the country, and it does not impose special restrictions on the number of samples.
Q6. What are the application fields of methylation chips?
A6: Methylation chips are primarily used in the biomedical domain, such as: various cancer research (lung cancer, esophageal cancer, ovarian cancer, etc.); complex disease research (diabetes, hypertension, autoimmune diseases, rare diseases, psychiatric diseases, etc.); developmental research (embryonic development, neural differentiation, organ differentiation, etc.); environmental interactions (smoking, alcohol consumption, industrial exposure, pollution, etc.); aging (methylation age); cfDNA tumor screening (various biomarker screenings), and more.