Human PBMC Isoform-Level Single-Cell Long-Read RNA-Seq Data

A long-read single-cell RNA sequencing dataset of human peripheral blood mononuclear cells (PBMCs) from a single donor, generated using a modified PIPseq workflow and Oxford Nanopore sequencing. The dataset, created by Patricia Hayes Doyle and last updated on 2026-05-27, is described as the largest of its kind from a single donor to date, enabling isoform-level investigation of cellular diversity. It profiles isoform usage across immune cells, integrating marker expression and the discovery of 126 novel isoforms.

Use Cases

• Discovering novel transcript isoforms based on the 126 novel isoforms identified from known and new genes.
• Characterizing cell-type-specific isoform expression patterns for marker genes like GZMB and CD3G.
• Mapping the 'isonome' (isoform landscape) across immune cell types within human peripheral blood.
• Investigating non-canonical protein-coding variants and their enrichment in specific cell populations like megakaryocytes.

Strengths

• Identified 126 novel isoforms from known and new genes.
• Described as the largest long-read single-cell dataset of human PBMCs from a single donor to date.
• Includes sufficient cell numbers to detect rare cell types like megakaryocytes.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is small in file size (268.7 KB), suggesting it may be a summary or supplementary file rather than the full raw sequencing data.
• Data is from a single donor, which may limit generalizability.

Provenance

Source

figshare, authored by Patricia Hayes Doyle.

Collection Method

Generated using a modified, microfluidic-free PIPseq workflow and computational pipeline adapted for Oxford Nanopore long-read sequencing.

Freshness

Last updated 2026-05-27 22:01:54.