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PRJNA905698 SRP412022

Lectin-Seq profiling of fecal microbiota lectin binding

Lectin-Seq: a method to profile lectin-microbe interactions in native communities

Cross-sectional study of 84 fecal microbiota samples (collection location not recorded) profiling binding interactomes of human lectins MBL and intelectin-1 using the Lectin-Seq method. machine-written summary

84 samples · 84 runs · US · Age unknown · 2023 · 0.78 Gbp / sample

Sources
✓Sequence archive 84○Abstract / description✓Full text 84✓Supplementary tables 168–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive84 sample values (subject id)
○ Abstract / descriptionread; no usable statement
✓ Full text84 sample values (country) · PMC10381928
✓ Supplementary tables168 sample values (health condition, health condition detail)
– 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
unknown84
Condition
healthy_control30
ulcerative_colitis30
crohns_disease24
Country
US84
Body site
primary84
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: 73 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 11 samplesall 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 0.78 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

14 of 14 people sampled more than once (84 samples; median 6, up to 6 per person).

How longitudinal and relatedness information is derived

Community composition
Faecalibacterium 9.2%Roseburia 8.4%Phocaeicola 3.9%Alistipes 3.2%Ruminococcoides 2.8%Bacteroides 2.4%Blautia_A 2.3%Akkermansia 2.0%Lachnospira 1.9%Vescimonas 1.7%Bifidobacterium 1.3%Enterocloster 0.9%not assigned to a genus 47.0%other genera 13.1%

Genera, mean relative abundance over 75 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%
country84 100%84
health_condition84 100%84
subject_id84 100%84
health_condition_detail84 100%84
Papers (1)
  • Lectin-Seq: A method to profile lectin-microbe interactions in native communities. 2023 PMID 37506208 PMC10381928 own_data
Details
Archive description

Soluble human lectins are critical components of innate immunity. Genetic models suggest lectins influence host-resident microbiota, but their specificity for commensal and mutualist species is understudied. Elucidating lectins roles in regulating microbiota requires an understanding of which microbial species they bind within native communities. To profile human lectin recognition, we developed Lectin-Seq. We apply Lectin-Seq to human fecal microbiota using the soluble mannose-binding lectin and intelectin-1. The microbial interactomes of MBL and hItln1 differ in composition and diversity. MBL binding is highly selective for a small subset of species commonly associated with humans. In contrast, hItln1s interaction profile encompasses a broad range of lower-abundance species. Our data uncover stark differences in the commensal recognition properties of human lectins.

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 study.description · “human fecal microbiota using the soluble mannose-binding lectin”
  • body site study.description · “human fecal microbiota”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN32114683countryUSR30.70paper.fulltext.methodsMassachusetts Institute of Technology [Institutional Review Board
SAMN32114683health_conditionulcerative_colitisR20.75paper.supp.sciadv.add8766_tables_s1_to_s8.zip/TableS5_LLK_112722.xlsx[Sheet1!Health]D05 UC
SAMN32114683health_condition_detailUCR20.75paper.supp.sciadv.add8766_tables_s1_to_s8.zip/TableS5_LLK_112722.xlsx[Sheet1!Health]D05 UC
SAMN32114683subject_idD05R10.85biosample.attribute:source_material_idD05
Sequencing

84 runs over 84 samples · mean 0.78 Gbp per run (median 0.78 Gbp, total 65.19 Gbp; 84 runs with a base count) · layout SINGLE 84 · platform ILLUMINA 84 · models Illumina HiSeq 2500 (84) · 89% of runs with a Sandpiper profile · first public 2023-08-27

Authors (22)

McPherson RL first · Isabella CR · Walker RL · Sergio D · Bae S · Gaca T · Raman S · Nguyen LTT · Wesener DA · Halim M · Wuo MG · Dugan A · Kerby R · Ghosh S · Rey FE · Dhennezel C · Pishchany G · Lensch V · Vlamakis H · Alm EJ · Xavier RJ · Kiessling LL last

Downloads

PRJNA905698.csv.gz (2.6 KB) · parquet (72.0 KB) — all 84 samples, every field with route and confidence · PRJNA905698_determinations.csv.gz (2.5 KB) — 336 evidence rows

Samples (84 · every field this project has values for · hover a cell for its source)
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