Human regulatory T cell isolation in 55 minutes using EasySep™ Releasable RapidSpheres™ (TECH2P.912)
Bibliographic record
Abstract
Abstract The preferred marker for identifying regulatory T cells (Tregs) is FOXP3 but its intracellular localization currently precludes it from being used for isolating viable cells. Human FOXP3+ Tregs are characterized as CD4+ T cells expressing high levels of CD25 and low levels of CD127. We have developed a novel immunomagnetic approach for the isolation of magnetic-particle-free human Tregs from PBMCs in as little as 55 minutes. This offers a vast improvement in speed over other immunomagnetic Treg isolation approaches, which typically require more than 2 hours. The standard approach for isolating Tregs combines CD4+ T cell negative enrichment followed by CD25 positive selection. By contrast, our novel approach is to first perform the CD25 positive selection step with EasySep™ Releasable RapidSpheres™, a new type of magnetic particle that can be rapidly released from the isolated cells with a no-incubation, no-wash protocol performed at room temperature. Subsequent depletion of CD127high and non-CD4+ T cells is achieved by negative enrichment with EasySep™ Dextran RapidSpheres™. Starting with 5x107 PBMCs, a purity of 87.6% ± 3.1% and recovery of 2.7x105± 8.2x104 Tregs (CD4+CD127lowCD25+FOXP3+) can be achieved (n=6). This is the first EasySep™ kit to incorporate the EasySep™ Releasable RapidSpheres™ and it exemplifies the potential of this technology for use in rapidly isolating magnetic particle-free cell populations possessing complex cell surface phenotypes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".