Isolation of Subsets of Immune Cells
Bibliographic record
Abstract
Subsets of immune cells can be isolated before analysis by the enzyme-linked immunospot (ELISPOT) assay with various cell separation techniques. This chapter describes techniques to select desired cells or deplete unwanted cells by crosslinking cells to dense or magnetic particles for subsequent separation. The RosetteSep method can be used to isolate specific cell types directly from human whole blood, using the red blood cells (RBCs) present in the sample as dense particles. Unwanted cells are crosslinked to multiple RBCs, forming "rosettes." The rosettes, free RBCs, and granulocytes pellet when the sample is centrifuged over a buoyant density medium. The unlabeled, desired cells are simply collected from the interface between the plasma and the buoyant density medium. The SpinSep method for isolation of mouse spleen or bone marrow cells is similar to RosetteSep, except that the unwanted cells are bound to dense particles rather than RBCs. The EasySep immunomagnetic system can be used with cell suspensions from a variety of species. Cells are crosslinked to nanometer-sized paramagnetic particles. Magnetically labeled cells are separated from unlabeled cells by placing the sample in a high gradient magnetic field. Both the labeled and the unlabeled fractions can be recovered for further use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".