<i>IGHV</i> and <i>IGHD</i> encoding antibodies with exceptionally long CDR3H are predominant in the bovine neonatal B cells
Bibliographic record
Abstract
Abstract We sequentially analyzed 18 RNA-seq libraries from three newborn calves as compared to their dams to understand the development of neonatal humoral immunity. A significant shift in neonatal transcriptome occurs within first week of life post-birth. A set of 110 differentially expressed immune-related genes is noted at birth that include complement, MHCII, chemokine receptors, defensins and cytokines etc. As compared to adults, IGKC is expressed at higher levels in the neonates, despite predominant IGLC expression at birth. The IGHM and IGHD transcripts are expressed at birth and IGHM achieves adult levels by day 7. This is followed by IGHA and IGHG transcripts 14–28 days post birth. Interestingly, most 3′ IGHV1S1(BF4E9) gene, known to encode antibodies with exceptionally long CDR3H, is preferentially expressed in neonatal B cells. In parallel, single longest IGHD2(DH2) gene that encodes such an atypical CDR3H is expressed at high levels at birth. It seems that IGHV1S1(BF4E9) gene has an important functional role in the development and expansion of bovine neonatal B-cell repertoire. To conclude, the bovine neonate acquires humoral immunocompetence by four weeks of neonatal life. [Supported by NSERC Canada Discovery Grant]
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".