Omics · study · 2026
Single-Molecule Barcoding Technology for Single-Cell Genomics
Listed in NCBI GEO
Recent advances in barcoding technologies have introduced unprecedented scalability to single-cell genomic experiments.
Description
However, most large-scale studies are focused on the generation of reference cell atlases, which prioritize this goal over cost-efficiency and logistics. For large-scale, multi-million-cell studies to be routine in fields such as clinical diagnostics, drug/target discovery, genetic screening, and gene therapy, it is crucial to simplify the single-cell workflow and the generation of barcoding reagents.
Here, we introduce AmpliDrop, a technology that streamlines single-cell barcoding by initiating the process using inexpensive single-copy barcodes, which are then amplified as part of the library preparation process, rather than relying on pre-synthesized multi-copy barcode pools. This strategy eliminates the need for barcoded beads and complex combinatorial indexing workflows. Additionally, cell compartmentalization is achieved using a conventional electronic pipette or a robotic liquid handler for automation, providing flexibility for any scale and number of samples.
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AmpliDrop can capture transcriptomes and chromatin accessibility and can also accommodate user-customized modalities for protein profiling, bacterial or viral DNA detection, and genetic perturbations without construct limitations. We showcase the discovery potential of AmpliDrop by investigating the influence of physical perturbation on cell diversity in human cortical organoids, revealing the selective vulnerability of glycolytic radial glia.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE272nnn/GSE272618 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE272618 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1137817 ncbi.nlm.nih.gov/bioproject/PRJNA1137817 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens · Mus musculus
- From keywords
- Life Sciences
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE272618 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| 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[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| 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 |