Omics · study · 2026
A flexible enrichment strategy for the isolation and single-cell characterization of disease-specific circulating tumor cells
Listed in NCBI GEO
Description
Background
Circulating tumor cells (CTCs) are cells that have broken off from a primary solid tumor, entered the blood stream, and have the potential to metastasize to nearby tissues. Thus, CTCs represent an important biomarker to monitor cancer progression and patient outcome. The isolation, identification and characterization of CTCs are critical for this goal.
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We previously developed a method for the detection and isolation of melanoma CTCs from peripheral blood through negative and positive antibody enrichment.
Methods
Here we show that this protocol is easily applied to other cancers; in this case we expand and validate this method to include prostate cancer. Results: We show that this combined negative and positive enrichment protocol successfully isolates CTCs for characterization using single cell RNA sequencing and have updated the protocol to include a newer version of single cell library preparation, Smart-seq3. In our analysis, cells prepared for sequencing with Smart-seq3, which uses unique molecular identifiers (UMIs), showed no considerable difference compared to those prepared using the previous iteration of the protocol, Smart-seq2.
Conclusion: This study demonstrates a robust and flexible method for the isolation and characterization of CTCs from various cancers for potential use as biomarkers for disease management and for characterization with single cell RNA-seq.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE291nnn/GSE291830 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE291830 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1235312 ncbi.nlm.nih.gov/bioproject/PRJNA1235312 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · Disease 75% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE291830 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |