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Performance of Evercode™ WT v4 in Human Immune Cells (PBMCs)


Key Takeaways:

  • Robust gene detection in PBMCs
  • Clear separation and identification of major immune cell populations

Experimental Design:

Single cell whole transcriptome profiling of human peripheral blood mononuclear cells (PBMCs) enables high-resolution characterization of diverse immune cell populations, including T cells, B cells, NK cells, monocytes, and dendritic cells.

To evaluate the performance of Evercode WT v4, cryopreserved PBMCs from two healthy donors (one female and one male) were obtained from a third-party provider. Aliquots from each donor were fixed using a high-throughput fixation workflow and processed using the Evercode WT v4 workflow. Whole transcriptome libraries were generated with a target of 50,000 cells per sample, sequenced on an Illumina NovaSeq instrument, and analyzed using the Parse Biosciences analysis pipeline.

Sequencing libraries were downsampled to 40,000 reads per cell for standardized analysis. Evercode WT v4 demonstrated robust gene detection and clear separation of major PBMC populations across both donors. Unsupervised clustering identified expected immune cell types.

Figure 1. Human PBMCs Profiled with Evercode WT v4. UMAP visualization demonstrates the separation of major immune cell populations.

This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. All users are free to share and adapt the data by providing appropriate credit – Parse Biosciences citation guidelines are available here.

Areas of Interest: Immunology
Products: WT
Species: Human
Tissue Type: PBMCs
Citation

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