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PRJNA718195 SRP315660

Hi-C gut metagenomics, chronically critically ill, Moscow

Hi-C metagenomics of gut microbiome in chronically critically ill patients

4 longitudinal stool samples from chronically critically ill ICU patients with severe brain injury in Moscow, Russia, analyzed using shotgun metagenomics and Hi-C to study gut microbiome dynamics. machine-written summary

4 samples · 4 runs · RU · Adult · 2021 · 35.95 Gbp / sample

Sources
✓Sequence archive 40○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 archive40 sample values (age, collection date, country, health condition, health condition detail, latitude, location locality, location region)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC8851603
○ 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
elderly4
Condition
cardiometabolic_other4
Sex
female2
male2
Country
RU4
Body site
primary4
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 %)all 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 %)this project, 30–100 Gbp: 4 samplesall projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 35.95 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

Schedule stated by the source: “Stool collected at 2 time points per patient (n=2 patients), 1-2 week interval; 2nd sample day 7 (patient A) or day 14 (patient B)”; stated follow-up 14 d.

How longitudinal and relatedness information is derived

Community composition
Alistipes 19.3%Ruthenibacterium 16.5%Phocaeicola 10.9%Oscillibacter 7.2%Cloacibacillus 6.7%Scatosoma 6.2%Tidjanibacter 5.6%Bilophila 3.0%Fimisoma 3.0%Coproplasma 2.4%Onthovivens 1.8%Mediterraneibacter 1.2%not assigned to a genus 3.5%other genera 12.7%

Genera, mean relative abundance over 1 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category4 100%
country4 100%4
health_condition4 100%4
subject_id0 0%
age_at_collection_days4 100%4
collection_date4 100%4
detailed_location4 100%
health_condition_detail4 100%4
latitude4 100%4
location_locality4 100%4
location_region4 100%4
longitude4 100%4
sex4 100%4
Papers (1)
  • Hi-C Metagenomics in the ICU: Exploring Clinically Relevant Features of Gut Microbiome in Chronically Critically Ill Patients. 2021 PMID 35185811 PMC8851603 own_data
Details
Archive description

A pilot study to evaluate the dynamics of gut microbial community structure and functions in Intensive care unit patients using a combination of high-throughput "shotgun" metagenomics and chromosome conformation capture (Hi-C).

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • body site study.title · “Hi-C metagenomics of gut microbiome in chronically”
  • body site study.description · “the dynamics of gut microbial community structure”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • life stage sample.attr.host_age · “74 (n=4/4)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN18524910age_at_collection_days27394.0R10.85sample.attr.host_age75
SAMN18524910collection_date2020-04-15R10.90biosample.attribute:collection_date2020-04-15
SAMN18524910countryRUR10.90sample.attr.geo_loc_nameRussia:Moscow
SAMN18524910health_conditioncardiometabolic_otherR10.90biosample_attrintracerebral hemorrhage
SAMN18524910health_condition_detailintracerebral hemorrhageR10.90sample.attr.host_diseaseintracerebral hemorrhage
SAMN18524910latitude56.0200R10.90biosample.attribute:lat_lon56.020 N 36.987 E
SAMN18524910location_localityMoscowR10.85biosample.attribute:geo_loc_nameRussia:Moscow
SAMN18524910location_regionMoscowR10.85biosample.attribute:geo_loc_nameRussia:Moscow
SAMN18524910longitude36.9870R10.90biosample.attribute:lat_lon56.020 N 36.987 E
SAMN18524910sexfemaleR10.90sample.attr.host_sexfemale
Sequencing

4 runs over 4 samples · mean 36.04 Gbp per run (median 35.95 Gbp, total 144.18 Gbp; 4 runs with a base count) · layout PAIRED 4 · platform ILLUMINA 4 · models Illumina HiSeq 2500 (4) · 25% of runs with a Sandpiper profile · first public 2021-08-25

Authors (12)

Ivanova V first · Chernevskaya E · Vasiluev P · Ivanov A · Tolstoganov I · Shafranskaya D · Ulyantsev V · Korobeynikov A · Razin SV · Beloborodova N · Ulianov SV · Tyakht A last

Downloads

PRJNA718195.csv.gz (1.0 KB) · parquet (70.5 KB) — all 4 samples, every field with route and confidence · PRJNA718195_determinations.csv.gz (965 B) — 40 evidence rows

Samples (4 · every field this project has values for · hover a cell for its source)
Loading the sample table…