GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE298nnn/GSE298512/primaryOK200TranscriptomicsHomo sapiens OtherExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE298512GEOGSEfalseSingle Cell Glycome and Transcriptome Profiling Enabled by a Library of Anti-glycan AntibodiesDespite their importance in cellular processes and as clinical targets, glycans remain difficult to study with existing technologies. A major barrier to developing tools to better study glycans is the dearth of high-quality, well-characterized anti-glycan antibodies. To create a resource for optimally selecting specific anti-glycan antibodies and understanding their general properties, we generated a publicly accessible database of 650 anti-glycan antibody sequences, recombinantly expressed a library of 154 of these antibodies, and characterized their binding properties using a glycan microarray. We DNA-barcoded a subset of these antibodies to create a platform enabling simultaneous high-throughput glycome and transcriptome profiling at the single-cell level. Using this platform, we profiled the two isogenic colorectal cancer cell lines, SW480 and SW620. The results reveal a variety of glycans associated with cancer stem cells and metastasis and demonstrate the power of integrating the glycome into multi-omic efforts to discover biomarkers and therapeutic targets.2026/05/20GSE298512GSM9015936GSM9015937GSM9015938GSM9015939GSM9015940GSM9015941GSM9015934GSM90159351857324676298512Homo sapiens[41380686]