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feature_id
stringlengths
6
15
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447 values
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2.470231
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2.196847
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2.493356
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1.999643
3xSLv1
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1.053239
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A_19_P00315529
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A_19_P00315538
GSM7573957
0.781335
A_19_P00315541
GSM7573957
0.989615
A_19_P00315543
GSM7573957
2.435422
A_19_P00315550
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1.529144
A_19_P00315551
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0.856352
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GSM7573957
0.739566
A_19_P00315581
GSM7573957
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A_19_P00315583
GSM7573957
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A_19_P00315584
GSM7573957
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A_19_P00315587
GSM7573957
1.278543
A_19_P00315593
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1.118513
A_19_P00315601
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A_19_P00315603
GSM7573957
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A_19_P00315625
GSM7573957
1.560098
A_19_P00315627
GSM7573957
1.57709
A_19_P00315631
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0.868471
A_19_P00315633
GSM7573957
0.745339
A_19_P00315641
GSM7573957
1.249598
A_19_P00315647
GSM7573957
1.021347
A_19_P00315649
GSM7573957
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A_19_P00315651
GSM7573957
1.005705
A_19_P00315668
GSM7573957
0.038313
A_19_P00315691
GSM7573957
1.177238
A_19_P00315693
GSM7573957
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A_19_P00315705
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GSM7573957
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A_19_P00315753
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0.599328
A_19_P00315759
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GSM7573957
1.650158
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GSM7573957
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GSM7573957
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GSM7573957
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A_19_P00316152
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A_19_P00316156
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1.086273
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Data Card: Sepsis vs. SIRS Point-of-Care Biomarker Whole-Blood Microarray Dataset (GSE236713)

Summary

Expression + sample metadata + feature metadata for GSE236713, a multi-center UK study identifying transcriptional mRNA biomarkers to discriminate sepsis from SIRS in adult ICU patients, profiled on the Agilent SurePrint G3 Human GE v2 8x60K Microarray (GPL17077). Blood was sampled at up to four timepoints (Day 1, Day 2, Day 5, and ICU discharge) for patient groups, and once for healthy controls.

Source accession

Accession N (samples) N (patients) Platform Retrieval source
GSE236713 447 194 Agilent SurePrint G3 Human GE v2 8x60K, probe-name version (GPL17077) NCBI GEO

Cohort breakdown: 30 healthy controls, 93 SIRS (Out-of-Hospital Cardiac Arrest, OOHCA), 124 abdominal sepsis, 200 pulmonary sepsis.

Files

  • sample_metadata.parquet — one row per sample: sample_id, patient_id, timepoint (Day: 1/Day: 2/Day: 5/Day: Discharge), outcome (Died/Survived), disease (Control/SIRS/Sepsis), disease_type (Healthy/OOHCA/Abdominal/Pulmonary), sex
  • feature_metadata.parquet — one row per probe (feature_id): Agilent's own platform annotation table, retrieved directly from GEO's GPL17077 record (no dedicated Bioconductor annotation package exists for this array design — confirmed via multiple Bioconductor support threads spanning several years, none reporting a resolution)
  • expression.parquet — single file, long format: feature_id, sample_id, value

Sample metadata field notes

  • Not every patient has all four timepoints. Of 194 patients: 55 have 1 sample, 48 have 2, 68 have 3, 23 have 4. Timepoints were missed due to patient death, ICU discharge, or other events, per the accession's design description. Healthy controls were sampled once and recorded as Day: 1 only.
  • outcome is Died (91 samples) or Survived (356 samples).
  • disease/disease_type together describe both severity tier and clinical subtype — disease_type is not a further breakdown of disease independent of it; each disease value maps to exactly one disease_type (Control→Healthy, SIRS→OOHCA, Sepsis→{Abdominal, Pulmonary}).

Expression value processing

Per the accession, expression values are normalized signal intensity. Independently confirmed as already log-scale: the standard log-detection heuristic (99th percentile and range of values) returned FALSE, indicating no further transformation was needed or applied. Values in expression.parquet are exactly as deposited.

Provenance / reproducibility

See pull_gse236713.R

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