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PRJNA287878 SRP059828

Duodenal microbiome in obese vs healthy adults, Marseille

the duodenal gut microbiome from obese and healthy subjects

2 samples from adults in Marseille, France, comparing the duodenal microbiota of obese individuals and healthy controls, focusing on lipid and carbohydrate metabolism genes, in a case-control design. machine-written summary

2 samples · 10 runs · FR · Age unknown · 2015 · 0.53 Gbp / sample

Sources
✓Sequence archive 16○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 archive16 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC4565581
○ 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 sampling locations · 1 country
Age
adult2
Condition
healthy_control1
obesity1
Country
FR2
Body site
primary2
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 2 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)all projects, 10–30 Gbp: 72,533 samples (13 %)all 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 0.53 Gbp per sample0130Gbp
Community composition
Streptococcus 74.9%Nanosynbacter 4.7%Mogibacterium 1.4%Granulicatella 1.2%Bulleidia 0.9%not assigned to a genus 16.9%

Genera, mean relative abundance over 2 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category2 100%
country2 100%2
health_condition2 100%2
subject_id0 0%
collection_date2 100%2
detailed_location2 100%
health_condition_detail2 100%2
latitude2 100%2
location_locality2 100%2
location_region2 100%2
longitude2 100%2
Papers (1)
  • A Metagenomic Investigation of the Duodenal Microbiota Reveals Links with Obesity. 2015 PMID 26356733 PMC4565581 own_data
Details
Archive description

The goal of the sutdy was to compare the functionnal genes of the duodenal gut between obese and healthy individuals</p><p>, particulary the lipid and carbohydrate metabolism

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.80. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome(10)”
  • body site study.title · “the duodenal gut microbiome from obese and healthy subjects”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN03801588collection_date2003R10.90biosample.attribute:collection_date2003
SAMN03801588countryFRR10.90sample.attr.geo_loc_nameFrance: Marseille
SAMN03801588health_conditionobesityR10.85biosample.attribute:descriptiondescription: weight_gain
SAMN03801588health_condition_detailweight_gainR10.85biosample.attribute:descriptiondescription: weight_gain
SAMN03801588latitude43.2900R10.90biosample.attribute:lat_lon43.29 N 5.38 E
SAMN03801588location_localityMarseilleR10.85biosample.attribute:geo_loc_nameFrance: Marseille
SAMN03801588location_regionProvence-Alpes-Cote d'AzurR10.60biosample.attribute:lat_lon43.29 N 5.38 E
SAMN03801588longitude5.3800R10.90biosample.attribute:lat_lon43.29 N 5.38 E
Sequencing

10 runs over 2 samples · mean 0.11 Gbp per run (median 0.11 Gbp, total 1.06 Gbp; 10 runs with a base count) · layout PAIRED 10 · platform ILLUMINA 10 · models Illumina MiSeq (10) · 40% of runs with a Sandpiper profile · first public 2015-07-07

Authors (10)

Angelakis E first · Armougom F · Carrière F · Bachar D · Laugier R · Lagier JC · Robert C · Michelle C · Henrissat B · Raoult D last

Downloads

PRJNA287878.csv.gz (982 B) · parquet (70.1 KB) — all 2 samples, every field with route and confidence · PRJNA287878_determinations.csv.gz (718 B) — 16 evidence rows

Samples (2 · every field this project has values for · hover a cell for its source)
Loading the sample table…