GSE26378

Expression data from validation cohort of children with septic shock

Whole-study status Exploratory only

Dataset can inform exploration but is not strong enough for primary analysis.

Whole-study downloads — these do not apply your sample requirements.

Selected cohort requirements

Samples meeting selected requirements: 0 cases / 0 controls

View matching samples

Patient pairs verified in indexed sample metadata: 0

A case/control comparison meeting these requirements is not confirmed.

Counts describe samples, not independent patients. Pair verification uses explicit subject identifiers in indexed sample metadata. Zero verified pairs does not establish that the study is unpaired; reported matched-normal design alone is insufficient.

Source
GEO
Assay
microarray
Organism
Homo sapiens
Whole-study samples
103 samples
Specimen
Biofluid
Reported/interpreted study design
Patient biofluid vs healthy control Design classification does not establish patient pairs.
Comparison type
Tumor vs normal
Contributors
Wong HR
Contact name
Hector R Wong
Submission date
2010-12-30
Last update
2019-08-16
Organization
Cincinnati Children's Hospital Medical Center
Department
Pediatrics
Public date
2011-01-13
Experiment types
Expression profiling by array
Platforms
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Series type
Series
SubSeries
Not available
BioProject
PRJNA136605

Summary

Background: Septic shock heterogeneity has important implications for the conduct of clinical trials and individual patient management. We previously addressed this heterogeneity by indentifying 3 putative subclasses of children with septic shock based on a 100-gene expression signature corresponding to adaptive immunity and glucocorticoid receptor signaling. Herein we attempted to prospectively validate the existence of these gene expression-based subclasses in a validation cohort. Methods: Gene expression mosaics were generated from the 100 class-defining genes for 82 individual patients in the validation cohort. Patients were classified into 1 of 3 subclasses (“A”, “B”, or “C”) based on color and pattern similarity relative to reference mosaics generated from the original derivation cohort. Separate classifications were conducted by 21 individual clinicians and a computer-based algorithm. After subclassification the clinical database was mined for clinical phenotyping. Results: In the final consensus subclassification generated by clinicians, subclass A patients had a higher illness severity, as measured by illness severity scores and maximal organ failure, relative to subclasses B and C. The k coefficient across all possible inter-evaluator comparisons was 0.633. Similar observations were made based on the computer-generated subclassification. Patients in subclass A were also characterized by repression of a large number of genes having functional annotations related to zinc biology. Conclusions: We have validated the existence of subclasses of children with septic shock based on a biologically relevant, 100-gene expression signature. The subclasses can be indentified by clinicians without formal bioinformatics training, at a clinically relevant time point, and have clinically relevant phenotypic differences.

Overall design

Expression data from 82 children with septic shock and 21 normal controls were generated using whole blood-derived RNA samples representing the first 24 hours of admission to the pediatric intensive care unit. The controls were used for normalization. Subsequently, we used the expression data from 100 class defining genes to validate the existence of pediatric septic shock subclasses having phenotypic differences.

Source Evidence

4 sources
Source Contribution Status
GEO

Original dataset metadata, sample metadata, source links, and GEO data availability flags.

Sample records
103 GSM samples
 Primary source
recount3

Planned trusted source for processed count availability.

 No match found
Expression Atlas

Planned source for curated expression experiment links.

 No match found
PubMed

Primary GEO citations and related PubMed articles that mention this dataset.

23 linked publications 23 DOIs

Primary publication

  1. Corticosteroids are associated with repression of adaptive immunity gene programs in pediatric septic shock. American journal of respiratory and critical care medicine, 2014
  2. Differential expression of the Nrf2-linked genes in pediatric septic shock. Critical care (London, England), 2015
  3. The influence of developmental age on the early transcriptomic response of children with septic shock. Molecular medicine (Cambridge, Mass.), 2011

Related publications

  1. Comprehensive analysis and experimental validation of BST1 as a novel diagnostic biomarker for pediatric sepsis using multiple machine learning algorithms. European journal of pediatrics, 2025
  2. Screening and Identification of Neutrophil Extracellular Trap-related Diagnostic Biomarkers for Pediatric Sepsis by Machine Learning. Inflammation, 2025
  3. Identification of Glycolysis-Related Signature and Molecular Subtypes in Child Sepsis Through Machine Learning and Consensus Clustering: Implications for Diagnosis and Therapeutics. Molecular biotechnology, 2026
  4. Identification of common core genes and pathways in childhood sepsis and cancer by bioinformatics analysis. Discover oncology, 2024
  5. Identification of potential biomarkers and pathways for sepsis using RNA sequencing technology and bioinformatic analysis. Heliyon, 2023
  6. Data-driven analysis that integrates bioinformatics and machine learning uncovers PANoptosis-related diagnostic genes in early pediatric septic shock. Heliyon, 2024
  7. iNKT cells exacerbate Sepsis-associated acute lung injury through IFN-γ-mediated promotion of macrophage apoptosis. International immunopharmacology, 2026
  8. SLC22A4 as a candidate regulator linking immunity and ferroptosis in septic shock. Molecular immunology, 2026
  9. GPX4 is a key ferroptosis biomarker and correlated with immune cell populations and immune checkpoints in childhood sepsis. Scientific reports, 2023
  10. Integrated bioinformatics analysis reveals cytokine dysregulation, pathway alterations, and machine learning identification of diagnostic biomarkers in sepsis. Integrative biology : quantitative biosciences from nano to macro, 2026
  11. Screening of Sepsis Biomarkers Based on Bioinformatics Data Analysis. Journal of healthcare engineering, 2022
  12. Bioinformatics-Based Study to Investigate Potential Differentially Expressed Genes and miRNAs in Pediatric Sepsis. Medical science monitor : international medical journal of experimental and clinical research, 2020
  13. CD63 and C3AR1: The Potential Molecular Targets in the Progression of Septic Shock. International journal of general medicine, 2022
  14. Lysosome-Related Diagnostic Biomarkers for Pediatric Sepsis Integrated by Machine Learning. Journal of inflammation research, 2023
  15. Predictive Value of a Diagnostic Five-Gene Biomarker for Pediatric Sepsis. Journal of inflammation research, 2024
  16. Multi-Omics Analysis Identifies Immune Regulatory Networks in Sepsis-Associated Liver Injury: Experimental Validation and Clinical Relevance. Journal of inflammation research, 2025
  17. Exploring the Role of Peroxisome-Related Processes and Key Marker Genes in Sepsis: Insights Into Immune Dynamics and Therapeutic Potential. Journal of inflammation research, 2025
  18. Identification of apoptosis-immune-related gene signature and construction of diagnostic model for sepsis based on single-cell sequencing and bulk transcriptome analysis. Frontiers in genetics, 2024
  19. Integration of Transcriptomic and Single-Cell Data to Uncover Senescence- and Ferroptosis-Associated Biomarkers in Sepsis. Biomedicines, 2025
  20. Identification and analysis of exosome-associated signatures in pediatric sepsis by integrated bioinformatics analysis and machine learning. PeerJ, 2026
Available

Metadata Quality Components

Persisted metadata quality

100 pts
Clarity
100%
Weight
100 pts

Sample source clarity: All samples have source metadata and clear GSE/GSM accessions. Group clarity: Rule-based grouping found both case and control samples. Disease clarity: Disease or condition metadata normalized. Tissue clarity: Anatomical source metadata normalized. Treatment clarity: No unclear treatment split detected in the sample metadata. Replicate clarity: No pooled sample or technical replicate flags detected. Data availability clarity: Dataset-level processed or raw data availability is explicit.

Analysis Readiness

Ready after review
97% DE readiness

Contrast completeness

25/25 pts

Both case and control groups are present in the proposed grouping.

Minimum group size

20/20 pts

Each contrast group has at least 2 samples.

Processed data availability

20/20 pts

Processed data is marked available in the GEO index.

Sample decision clarity

15/15 pts

All samples are assigned to a case or control group.

Blocking warnings

7/10 pts

Warnings are present, but none are critical blockers.

Metadata normalization

10/10 pts

Metadata quality is high enough to support downstream handoff.

Blockers

No readiness blockers detected.

Next Steps

  • Verify the proposed sample assignments and case-versus-control comparison against the GEO metadata before using them in DESeq2 or another differential-expression tool.
  • Confirm processed count files and sample identifiers match the exported metadata.

Analysis Preparation Checklist

5/6 ready

Group labels reviewed

Needs review

Siftome proposed case and control labels, but no reviewer confirmation is stored yet.

Open the sample grouping CSV and confirm group labels before analysis.

Minimum sample count met

Ready

Both groups meet the minimum of 2 samples.

Confirm whether the cohort is large enough for the intended statistical analysis.

Processed counts available

Ready

Processed data availability is marked true in the GEO index.

Verify that downloaded processed files contain usable count or expression identifiers.

Ambiguous samples handled

Ready

No review-needed or unassigned samples are present in the proposed grouping.

Review the grouping table for biologically meaningful differences that the automated checks may not detect.

Exclusion decisions recorded

Ready

No hard-excluded samples were detected by the current rules.

Record any manual exclusions in the downstream analysis notes.

Source traceability preserved

Ready

The dataset and sample accessions can be traced back to GEO.

Keep GEO accessions with exported metadata.

Bioinformatician Review

Bioinformatician review required

Ask a bioinformatician to review grouping, count availability, exclusions, and design before DE.

Assay context may require expert handling before DESeq2-style analysis.

Why This Is Ranked Here

Tumor vs normal
Exploratory only Dataset can inform exploration but is not strong enough for primary analysis.

Applied Review Decisions

No active review decisions affect this ranking.

Derived Classifications

  • Assay differs from search intent Microarray Search intent expects bulk RNA-seq. Assay came from Normalization rules.
  • Disease context Septic shock Disease context came from Normalization rules.
  • Likely case group Sepsis or systemic inflammatory response 82 samples
  • Likely control group Healthy control 21 samples

Intent Interpretation

  • Downgrade or exclusion reason Downgraded for tissue search because it is a biofluid cohort. Derived from current-intent ranking reasons.

Ranking Facts

Supporting evidence

  • Comparison: Patient biofluid vs healthy control. Specimen: Biofluid. Comparison suitability: 20%.
  • Interpreted disease metadata: Septic shock.
  • Processed data is available for downstream review.
  • External evidence: PubMed links 23 publications; 23 DOIs available: PMID 21738952, PMID 24650276, PMID 26376786, PMID 32575108, PMID 35082520.
  • Publication context: The influence of developmental age on the early transcriptomic response of children with septic shock.. Molecular medicine (Cambridge, Mass.), 2011. PMID 21738952. DOI 10.2119/molmed.2011.00169.
  • Publication context: Corticosteroids are associated with repression of adaptive immunity gene programs in pediatric septic shock.. American journal of respiratory and critical care medicine, 2014. PMID 24650276. DOI 10.1164/rccm.201401-0171OC.
  • Publication context: Differential expression of the Nrf2-linked genes in pediatric septic shock.. Critical care (London, England), 2015. PMID 26376786. DOI 10.1186/s13054-015-1052-0.
  • Publication context: 20 additional linked PubMed publications are available.

Cautions

  • Downgraded for tissue search because it is a biofluid cohort.
  • Downgraded assay: microarray cohorts are separated from the RNA-seq intent.
  • Blood, plasma, or serum cohort downgraded because this ranking targets tissue tumor-vs-normal comparisons.
  • Overall score capped because comparison suitability is weak for the selected search intent.
  • Comparison suitability score is below the Phase 1 recommended threshold.

Dataset Warnings

Normalized Fields

437 fields

Sample Group Preview

showing 71 of 103 preview rows Show Hide
Study totals: Case 82 | Control 21 | Unassigned 0 | Excluded 0 | Ambiguous 0 showing 71 of 103 preview rows
Group Role Accession Title Source / characteristics Reason
Sepsis or systemic inflammatory response Case GSM647527 Septic Shock_biological rep1 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 2; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647528 Septic Shock_biological rep2 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.5; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647529 Septic Shock_biological rep3 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 1.9; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647530 Septic Shock_biological rep4 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 2; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647531 Septic Shock_biological rep5 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 1.3; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647532 Septic Shock_biological rep6 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 3.8; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647535 Septic Shock_biological rep7 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 9.6; Outcome: Nonsurvivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647540 Septic Shock_biological rep8 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 1.1; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647541 Septic Shock_biological rep9 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.7; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647542 Septic Shock_biological rep10 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 8.3; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647543 Septic Shock_biological rep11 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 8.9; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647544 Septic Shock_biological rep12 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 4; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647545 Septic Shock_biological rep13 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.6; Outcome: Nonsurvivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647546 Septic Shock_biological rep14 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 1.2; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647547 Septic Shock_biological rep15 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.1; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647548 Septic Shock_biological rep16 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 6.6; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647549 Septic Shock_biological rep17 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.8; Outcome: Nonsurvivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647550 Septic Shock_biological rep18 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.4; Outcome: Nonsurvivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647551 Septic Shock_biological rep19 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 5.9; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647552 Septic Shock_biological rep20 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.1; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647553 Septic Shock_biological rep21 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.1; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647554 Septic Shock_biological rep22 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 6.5; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647555 Septic Shock_biological rep23 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 8; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647556 Septic Shock_biological rep24 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 3.9; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647557 Septic Shock_biological rep25 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 1.7; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647558 Septic Shock_biological rep26 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 5; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647559 Septic Shock_biological rep27 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 8.5; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647560 Septic Shock_biological rep28 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.3; Outcome: Nonsurvivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647561 Septic Shock_biological rep29 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.8; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647562 Septic Shock_biological rep30 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 9.3; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647563 Septic Shock_biological rep31 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 9.5; Outcome: Nonsurvivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647564 Septic Shock_biological rep32 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 9.7; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647565 Septic Shock_biological rep33 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.1; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647567 Septic Shock_biological rep34 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 1.7; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647568 Septic Shock_biological rep35 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 1.4; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647569 Septic Shock_biological rep36 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.1; Outcome: Nonsurvivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647570 Septic Shock_biological rep37 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 1.2; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647571 Septic Shock_biological rep38 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 7; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647572 Septic Shock_biological rep39 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 4.4; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647573 Septic Shock_biological rep40 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 1; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647574 Septic Shock_biological rep41 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.1; Outcome: Nonsurvivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647576 Septic Shock_biological rep42 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 1; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647577 Septic Shock_biological rep43 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.1; Outcome: Nonsurvivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647578 Septic Shock_biological rep44 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 4.4; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647579 Septic Shock_biological rep45 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.8; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647580 Septic Shock_biological rep46 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 0.2; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647581 Septic Shock_biological rep47 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 4.2; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647582 Septic Shock_biological rep48 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 5.2; Outcome: Nonsurvivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647583 Septic Shock_biological rep49 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 1.6; Outcome: Survivor Explicit sample label case marker detected.
Sepsis or systemic inflammatory response Case GSM647584 Septic Shock_biological rep50 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Septic shock patient; Age (years): 8; Outcome: Survivor Explicit sample label case marker detected.
32 additional case samples are hidden from this preview.
Healthy control Control GSM647533 Control_biological rep1 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 1.1; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647534 Control_biological rep2 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 7.6; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647536 Control_biological rep3 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 1.3; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647537 Control_biological rep4 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 0.5; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647538 Control_biological rep5 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 5; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647539 Control_biological rep6 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 9; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647566 Control_biological rep7 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 8.7; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647575 Control_biological rep8 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 2; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647589 Control_biological rep9 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 7.4; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647590 Control_biological rep10 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 4.4; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647604 Control_biological rep11 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 9.6; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647605 Control_biological rep12 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 4.6; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647606 Control_biological rep13 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 1.2; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647607 Control_biological rep14 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 2.3; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647608 Control_biological rep15 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 2.9; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647621 Control_biological rep16 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 1; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647622 Control_biological rep17 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 2.9; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647623 Control_biological rep18 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 4.2; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647624 Control_biological rep19 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 2.2; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647625 Control_biological rep20 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 2.9; Outcome: Survivor Sample-local control marker detected.
Healthy control Control GSM647626 Control_biological rep21 Children ≤ 10 years old Tissue: Whole Blood; Disease state: Normal control; Age (years): 0.5; Outcome: Survivor Sample-local control marker detected.

Use as Discovery Cohort

External Validation Finder

Carry Siftome's disease, organism, specimen, assay, data type, and accession into a validation project. Uncertain fields remain Unknown.