Direct isolation of untouched human neutrophils from whole blood in as little as 25 minutes (TECH2P.870)
Bibliographic record
Abstract
Abstract Neutrophils are the first line of defense against microbial infections. They sense pathogen-associated molecular patterns through a wide range of receptors including toll-like receptors. Once activated, neutrophils eliminate infection via the phagocytosis of pathogens, releasing proinflammatory cytokines and antimicrobial peptides and producing reactive oxygen species (ROS). The procedures to enrich neutrophils from human whole blood involve at least two steps to remove red blood cells (RBCs) and unwanted leukocytes. For example, neutrophils may be separated from other leukocytes using density gradient centrifugation. However, they are still mixed with RBCs which are then lysed. Alternatively, RBCs are first depleted using lysis or sedimentation followed by fluorescence-activated cell sorting or magnetic cell separation to remove unwanted leukocytes. Here we describe a one-step immunomagnetic, column-free cell separation method which does NOT require RBC lysis, sedimentation or density gradient centrifugation. Non-neutrophils and RBCs are labeled with antibodies and cross-linked to magnetic particles. The labeled cells are removed using an EasySepTM magnet. The complete procedure takes 25-35 minutes. The purity of isolated neutrophils is 96±3% (n=14). The isolated neutrophils are functional and produce ROS upon activation with PMA. This fast isolation method of untouched, quiescent neutrophils facilitates the studies of neutrophil function in inflammatory diseases.
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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 | 0.000 | 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 | 0.001 | 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".