In one paragraphArticle in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Rebecca N CulverDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-3963-193X Sean Paul SpencerDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-7328-5399 Evelyn Giselle Lemus SilvaDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-0729-8757 Tadashi TakeuchiDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-1693-7490 Ceena NafarzadeganDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0009-0002-1709-2207 Steven K HigginbottomDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-4609-6840 Justin SonnenburgDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-2299-6817 Kerwyn Casey HuangDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-8043-8138 Funding
A universal pipeline for functional characterization of the human microbiota at a massive scaleRM1GM135102 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BUIE, CULLEN RICHARD, DEUTSCHBAUER, ADAM M · 2020 to 2024
$7.6MTRAINING GRANT IN ACADEMIC GASTROENTEROLOGYT32DK007056 · NIDDK · STANFORD UNIVERSITY · PI Natalie J. Torok · 1986 to 2026
$6.5MMolecular Biophysics Training Program at StanfordT32GM136568 · NIGMS · STANFORD UNIVERSITY · PI Zev Bryant, KERWYN C. HUANG · 2021 to 2026
$3.7MAntimicrobial Resistance and Horizontal Gene Transfer in the Human Gut Microbiome in Response to an AntibioticR01AI147023 · NIAID · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI RELMAN, DAVID A. · 2020 to 2024
$3.5MDefining Small Intestinal Microbial Landscapes To Improve Therapeutics For Gastrointestinal DiseaseK08DK134856 · NIDDK · STANFORD UNIVERSITY · PI Sean Paul Spencer · 2023 to 2026
$664kNIAID NIH HHS R01 AI147023NIDDK NIH HHS K08 DK134856NIDDK NIH HHS T32 DK007056NIGMS NIH HHS RM1 GM135102NIGMS NIH HHS T32 GM136568
6 · The paper itselfAbstract
Our understanding of region-specific microbial function within the gut is limited due to reliance on stool. Using a recently developed capsule device, we exploit regional sampling from the human intestines to develop models for interrogating small intestine (SI) microbiota composition and function.
Indexed as
dietEnterococcusgut microbiomeintestinal samplingin vitro communitiesmicrobiota accessible carbohydratespriority effectsregional specificitystrain isolationstrain librarysynthetic communities
Identifiers
PMID38712253
PMCPMC11071525
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