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depinwang/lsec-sicilian-lonp2-pilot-results-v1

published by @depinwang

Alignment dataset tracked in the /datasets sub-catalog.

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Description

lsec-sicilian-lonp2-pilot-results-v1

Pilot results (5 samples) from re-detecting splice junctions with SICILIAN

(Dehghannasiri, Olivieri, Salzman -- Genome Biology 2021) on raw FASTQ, to test whether the

LONP2 skipped-exon (SE) event's null result (3x via STARsolo -> JAseC/SHIBA) is a methods

artifact. See experiment lsec-sicilian-lonp2 for the full design, red-team review, and

debugging history.

The LONP2 SE event (hg38)

5' constitutive exon:… See the full description on the dataset page: https://huggingface.co/datasets/depinwang/lsec-sicilian-lonp2-pilot-results-v1.

Tags

size_categories:n<1Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face

lsec-sicilian-lonp2-pilot-results-v1

Pilot results (5 samples) from re-detecting splice junctions with SICILIAN
(Dehghannasiri, Olivieri, Salzman -- Genome Biology 2021) on raw FASTQ, to test whether the
LONP2 skipped-exon (SE) event's null result (3x via STARsolo -> JAseC/SHIBA) is a methods
artifact. See experiment lsec-sicilian-lonp2 for the full design, red-team review, and
debugging history.

The LONP2 SE event (hg38)

  • 5' constitutive exon: chr16:48252131-48252365
  • Alternative (skipped) exon: chr16:48256610-48256741
  • 3' constitutive exon: chr16:48258618-48258740
  • Exclusion junction (skips the alt exon): chr16:48252365-48258618 (SICILIAN exon-boundary
    convention) / chr16:48252366-48258617 (STAR SJ.out.tab intron-boundary convention)

Samples

5 samples: fibrosis_1/S38 (SRR28058446) and fibrosis_4/S33 (SRR28058449) -- the only 2 samples
with any current-pipeline read support at the LONP2 SE junction -- plus 3 Healthy controls
(SRR28058450/451/452).

Columns

Column Description
srr_id SRA run accession
sample_label Short sample name used throughout this workspace
group F2-3 (fibrosis) or Healthy
raw_star_exclusion_junction_reads Unique-read count for the exclusion junction directly from STAR's SJ.out.tab, BEFORE any UMI deduplication or LSEC-cell restriction -- a cheap, SICILIAN-stats-independent check
sicilian_exclusion_junction_n_barcodes Number of distinct cell barcodes with a SICILIAN-called (GLM-confidence-scored) exclusion-junction event, from sicilian_called_splice_juncs.tsv
sicilian_exclusion_junction_sum_numreads Sum of the numReads field across those barcodes
lonp2_sj_hits_raw_tsv Full raw content of lonp2_sj_hits.tsv (every STAR SJ.out.tab row in the LONP2 genomic window, not just the exclusion junction)
lonp2_sicilian_hits_full_tsv Full raw content of lonp2_sicilian_hits.tsv (every row of sicilian_called_splice_juncs.tsv matching gene name LONP2, i.e. all LONP2 junctions SICILIAN called for this sample, not just the exclusion junction)

Key finding

The raw STAR SJ.out.tab counts for the exclusion junction show a clean group separation
(F2-3: 45, 42 vs Healthy: 28, 23, 15 -- no overlap). But SICILIAN's own final, cell/UMI-aware,
statistically-scored output (after its GLM confidence model) calls the exclusion junction in
only ONE sample (S38: 2 barcodes, 4 total reads) -- zero in S33 and all 3 Healthy samples. Most
of the raw-read-level signal did not survive SICILIAN's own candidate-junction detection and
statistical filtering. This largely REPRODUCES the original STARsolo->JAseC/SHIBA pipeline's
near-null result rather than revealing a methods-artifact-masked signal, though the single
positive sample is directionally consistent with the original hypothesis (it's an F2-3 sample).

Not included in this dataset (too large, kept on-cluster for reproducibility)

Per-sample class_input.tsv (~14-16GB), GLM_output.txt (~200-450MB), and the full
sicilian_called_splice_juncs.tsv (330MB-3.1GB) remain on turso at
/wrk-kappa/users/depinwan/tries/2026-05-05-rerun_Liver_dataset_from_Nature/lsec_sicilian_lonp2/pilot/<SRR>/.

README history 3 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-09-08Upload README.md with huggingface_hub914db263.2 KB
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  2. 2026-09-08Upload dataset7f0e4d4646 B
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  3. 2026-09-08initial commit85ec5890 B
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Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("depinwang/lsec-sicilian-lonp2-pilot-results-v1")
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from huggingface_hub import snapshot_download
snapshot_download(repo_id="depinwang/lsec-sicilian-lonp2-pilot-results-v1", repo_type="dataset")
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git clone https://huggingface.co/datasets/depinwang/lsec-sicilian-lonp2-pilot-results-v1
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