A linear-amplification VDJ-seq technique for quantification of immunoglobulin and T cell receptor diversity
Bibliographic record
Abstract
The V(D)J recombination is essential for generating a highly diverse repertoire of antigen receptors expressed on T and B lymphocytes. Here, we developed a linear-amplification VDJ-seq technique for quantifying V(D)J recombination of antigen receptor genes. This technique takes advantage of linear amplification using in vitro transcription and reverse transcription to avoid bias generated by the PCR amplification of low copy number of target DNA. The unrearranged alleles are removed by in vitro cleavage with the CRISPR-Cas9 system. The linear-amplification VDJ-seq assay was applied in quantification of the Vκ-Jκ recombination of the mouse Igκ gene with Jκ capture primers. The Jκ genes were detected in 95.86% of clean reads with more than half containing the Vκ gene, indicating high specificity of capturing and amplification. We also applied this approach to quantify the usage of Jα within the Trav12 gene family of the Tcra gene.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".