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PRJNA398187 SRP118364

Lactobacillus in ulcerative colitis

Human gut metagenome Targeted loci environmental

Meta-analysis and murine model study of Lactobacillus paracasei WIS43 for ulcerative colitis treatment. One sample from Cork, Ireland; compared anti-inflammatory efficacy against commercial strain and mesalazine. machine-written summary

22 samples · 22 runs · Age unknown · 2020 · 4.43 Gbp / sample

Sources
✓Sequence archive 38○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 archive38 sample values (health condition, health condition detail)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC11740686, PMC12455517, PMC12900382, PMC13484702, PMC6967091, PMC7089947, PMC9614153
○ 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
Interventions

intervention — arms not resolved

design observational_with_procedure

Samples at a glance
Age
unknown22
Condition
ulcerative_colitis16
crohns_disease3
Body site
primary22
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 %)this project, 0.1–0.3 Gbp: 1 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 1 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 20 samplesall 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 4.43 Gbp per sample0130Gbp
Community composition
Prevotella 11.9%Bacteroides 11.4%Phocaeicola 10.5%Alistipes 7.4%Roseburia 6.3%Faecalibacterium 6.1%Blautia_A 1.9%Parabacteroides 1.8%Sutterella 1.2%CAG-345 1.1%Bifidobacterium 1.1%Acetatifactor 1.0%not assigned to a genus 4.0%other genera 34.5%

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_category0 0%
country0 0%
health_condition19 86%19
subject_id0 0%
health_condition_detail19 86%19
Papers (7)
  • Piphillin predicts metagenomic composition and dynamics from DADA2-corrected 16S rDNA sequences. 2020 PMID 31952477 PMC6967091 own_data
  • Colonic microbiota is associated with inflammation and host epigenomic alterations in inflammatory bowel disease. 2020 PMID 32251296 PMC7089947 own_data
  • Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease. 2022 PMID 36312950 PMC9614153 own_data
  • Host-microbe multi-omics and succinotype profiling have prognostic value for future relapse in patients with inflammatory bowel disease. 2025 PMID 39812341 PMC11740686 own_data
  • Human DNA hijacking microbiota surveys: causes and consequences in colon related 16s rRNA amplicon sequencing. 2025 PMID 40994617 PMC12455517 own_data
2 more
  • <i>Lactobacillus paracasei</i> WIS43 alleviates DSS-induced colitis by modulating gut microbiota and suppressing inflammation. 2025 PMID 41695140 PMC12900382
  • Generative AI-augmented transcriptomic and microbiome analysis across inflammatory and fibrotic disease states in Crohn's disease. 2026 PMID 42614810 PMC13484702
Details
Archive description

Multi omic study of mucosal microbiome

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.57. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host study.title · “Human gut metagenome”
  • body site run.scientific_name · “human gut metagenome(22)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SRR9157875health_conditionulcerative_colitisR10.70sample.name_rule:library_namelibrary_name: UC9_Shotgun
SRR9157875health_condition_detailulcerative colitis (UC)R10.70sample.name_rule:library_namelibrary_name: UC9_Shotgun
Sequencing

22 runs over 22 samples · mean 4.32 Gbp per run (median 4.43 Gbp, total 95.01 Gbp; 22 runs with a base count) · layout PAIRED 22 · platform ILLUMINA 22 · models Illumina HiSeq 4000 (22) · 91% of runs with a Sandpiper profile · first public 2020-04-14

Authors (34)

Narayan NR first · Weinmaier T · Laserna-Mendieta EJ · Claesson MJ · Shanahan F · Dabbagh K · Iwai S · DeSantis TZ last · Ravichandar JD first · Rutherford E · Chow CT · Han A · Yamamoto ML · Narayan N · Kaplan GG · Beck PL · Di Gloria L first · Casbarra L · Bastiani M · Memoli G · Ramazzotti M last · Fu Y first · Chen S · Cui L · Cao Y · Dong Y · Duan Y · Wu C last · Philip D first · Santos D · Mondal S · Alomar H · Gkoutos G · Acharjee A last

Downloads

PRJNA398187.csv.gz (1.4 KB) · parquet (69.1 KB) — all 22 samples, every field with route and confidence · PRJNA398187_determinations.csv.gz (899 B) — 38 evidence rows

Samples (22 · every field this project has values for · hover a cell for its source)
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