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 from a single donor. The dataset, generated using a modified PIPseq workflow and Oxford Nanopore sequencing, profiles isoform usage across immune cells and includes the identification of 126 novel isoforms. It was created by Patricia Hayes Doyle and last updated on 2026-05-27.

Use Cases

• Identify cell-type-specific isoform signatures based on marker gene isoform expression described in the study.
• Discover novel transcripts from known genes based on the 126 novel isoforms identified.
• Investigate non-canonical protein-coding variants in immune cells, such as GZMB and CD3G variants found in megakaryocytes and monocytes.
• Map the 'isonome' (isoform landscape) across immune cell types to understand functional biology.

Strengths

• Dataset includes the identification of 126 novel isoforms from known and new genes.
• Profiles isoform usage across immune cells with sufficient cell numbers to detect rare megakaryocytes.
• Generated using a modified, microfluidic-free PIPseq workflow adapted for Oxford Nanopore long-read sequencing.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single donor, which may limit generalizability.

Provenance

Source

figshare, author Patricia Hayes Doyle

Collection Method

Long-read single-cell RNA sequencing using a modified PIPseq workflow and Oxford Nanopore technology.

Freshness

Last updated 2026-05-27 22:01:53; freshness should be verified.