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PRJEB56784 ERP141755

Matrix-tube vs plate extraction method validation, San Diego

Validation of the nucleic acid automation pipeline using Matrix tubes

384 samples from San Diego, CA (336 adults, 48 infants) comparing a Matrix-tube-based nucleic acid extraction pipeline against a benchmarked plate-based method; no health condition or intervention specified. machine-written summary

336 samples · 576 runs · US · Adult · 2023 · 1.12 Gbp / sample

Sources
✓Sequence archive 1,895○Abstract / description○Full text○Supplementary tables–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive1,895 sample values (country, location locality, location region, sex, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC11494942, PMC12584695
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
adult336
Sex
female179
male36
Country
US336
Body site
excluded215
unknown73
primary48
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 67 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 32 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 32 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 55 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 58 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 89 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 3 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 0.77 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

5 of 46 people sampled more than once (80 samples; median 12, up to 32 per person).

How longitudinal and relatedness information is derived

Community composition
Alistipes 11.5%Variovorax 7.8%Duncaniella 7.2%Prevotella 6.2%CAG-873 5.3%Bacteroides 5.2%Faecalibacterium 4.3%Coproplasma 2.5%Paramuribaculum 2.1%Lepagella 2.0%Muribaculum 1.8%UBA7173 1.7%not assigned to a genus 8.6%other genera 34.0%

Genera, mean relative abundance over 89 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category336 100%
country336 100%336
health_condition0 0%
subject_id336 100%336
detailed_location336 100%
location_locality336 100%336
location_region336 100%336
timepoint_label336 100%336
sex215 64%215
Papers (2)
  • Clearing the plate: a strategic approach to mitigate well-to-well contamination in large-scale microbiome studies. 2024 PMID 39283083 PMC11494942 own_data
  • Streamlined extraction of nucleic acids and metabolites from low- and high-biomass samples using isopropanol and matrix tubes. 2025 PMID 41070991 PMC12584695 own_data
Details
Archive description

Goal: to reduce the hands-on time for the nucleic acid extraction pipeline, enabling processing of 10000 samples per month. Reduce the cost per extraction and reduce the well to well contamination.

How this project entered the registry

Classified as human and non-human (mixed) gut / stool / oral cavity / skin / multiple sites shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.60. Assay shotgun_dna.

  • host run.scientific_name · “human oral metagenome”
  • host run.scientific_name · “mouse gut metagenome”
  • body site run.scientific_name · “human oral metagenome”
  • body site run.scientific_name · “human gut metagenome”
  • body site run.scientific_name · “human skin metagenome”
  • life stage sample.attr.host_life_stage · “adult (n=263/384)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA111486423countryUSR10.90sample.attr.geo_loc_nameUSA:CA: San Diego
SAMEA111486423location_localitySan DiegoR10.85biosample.attribute:geo_loc_nameUSA:CA: San Diego
SAMEA111486423location_regionCaliforniaR10.75biosample.attribute:geo_loc_nameUSA:CA: San Diego
SAMEA111486423sexfemaleR10.90sample.attr.sexfemale
SAMEA111486423subject_idCR10.85sample.attr.host_subject_idC
SAMEA111486423timepoint_label1_2R10.85sample.attr.round1_2
Sequencing

576 runs over 336 samples · mean 1.35 Gbp per run (median 1.14 Gbp, total 776.58 Gbp; 576 runs with a base count) · layout PAIRED 576 · platform ILLUMINA 576 · models Illumina NovaSeq 6000 (576) · 39% of runs with a Sandpiper profile · first public 2023-01-05 – 2025-06-12

Authors (28)

Brennan C first · Belda-Ferre P · Zuffa S · Charron-Lamoureux V · Mohanty I · Ackermann G · Allaband C · Ambre M · Boyer T · Bryant M · Cantrell K · Gonzalez A · McDonald D · Salido RA · Song SJ · Wright G · Dorrestein PC · Knight R last · Shaffer JP · Weng Y · Farmer S · González A · Martino C · Meehan MJ · Rahman G · Schwartz T · Tribelhorn C · Tubb HM

Downloads

PRJEB56784.csv.gz (8.2 KB) · parquet (80.5 KB) — all 336 samples, every field with route and confidence · PRJEB56784_determinations.csv.gz (9.5 KB) — 1,895 evidence rows

Samples (336 · every field this project has values for · hover a cell for its source)
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