Human PBMC Isonome: Isoform-Level Single-Cell Long-Read Transcriptomics

Generated using a modified PIPseq workflow and Oxford Nanopore sequencing, this dataset profiles isoform usage across human peripheral blood mononuclear cells (PBMCs) from a single donor. It is described as the largest long-read single-cell dataset of human PBMCs from a single donor to date, enabling the detection of megakaryocytes. Author Patricia Hayes Doyle released the data under a CC-BY-4.0 license on figshare in May 2026.

Use Cases

• Identify novel isoforms based on the discovery of 126 novel transcripts from known and new genes
• Characterize cell-type-specific marker gene isoform expression across immune cell populations
• Investigate non-canonical protein-coding variants of genes like GZMB and CD3G in unexpected cell-types
• Map the 'isonome'—the isoform landscape—across tissues and disease contexts

Strengths

• Focuses on the largest long-read single-cell dataset of human PBMCs from a single donor to date
• Enables isoform-level resolution and identified 126 novel isoforms
• Sufficient cell numbers to detect rare cell types like megakaryocytes

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The primary data file is a 2.9 MB DOCX document, which may not contain raw data tables

Provenance

Source

figshare

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 22:01:53