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Omics · study · 2026

Epigenomic Profiling of Multiple Myeloma using two different Low-Input platforms with overlapping results.

Listed in NCBI GEO

This study compares two CUT&Tag workflows for profiling histone modifications in multiple myeloma using low cell numbers.

Description

Both methods produced high-quality, reproducible data with similar performance, demonstrating their suitability for epigenomic analysis in limited patient samples.

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From keywords
Life Sciences
Inferred from text
Genetics 73%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE32647915 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].anzsrc:group:3105enrichment · NCBI GEOtaxonomy-embedding@1.1.0title+keywords+description (73%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title