Microbial Energy Metabolism Fuels an Intestinal Macrophage Niche via Purinergic Signalling.
Bibliographic record
Abstract
\# Single cell RNA-Sequencing analysis of CD11b-positive cells from lamina propria and solitary isolated lymphoid tissues of the colon. \--- The data contains unprocessed sequencing reads obtained via paired-end sequencing on the Illumina platform. Colonic cells were isolated from the lamina propria (LP) or solitary isolated lymphoid tissues (CP) from wild type (WT) or Csf2-deficient (KO) tissue and have been enriched by CD11b magnetic beads. Enriched cells were then processed and sequenced. The files display sequences containing illumina barcode reads and paired-end sequencing reads. \## Description of the data and file structure The deposited files are grouped by their identification as WT or KO and by their location within the tissue: LP or CP. The data can be used to investigate the impact of the gene Csf2 on the development and functional program of CD11b-enriched cells from distinct locations in colon of mice. \## Sharing/Access information This is a section for linking to other ways to access the data, and for linking to sources the data is derived from, if any. Links to other publicly accessible locations of the data: GSE231371 \## Code/Software The code and scripts to analyze the data set is freely available at:
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".