In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. 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
5 · Who and what moneyAuthors and funding
12 authors.
Meaghan M Kennedy NgCurriculum in Bioinformatics and Computational Biology, Department of Genetics, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-4612-7560 Sophie SilversteinCenter for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0009-0002-9714-2330 Nina C NishiyamaCurriculum in Bioinformatics and Computational Biology, Department of Genetics, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-2731-1987 Caroline BeasleyCenter for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Grace LianCenter for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-4075-2739 Benjamin HuanCenter for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Gwen LauCenter for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
David WeaverCenter for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Ayesh AwadCenter for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0009-0000-2355-6069 Matthew R SchanerCenter for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-8587-4679 Shehzad Z SheikhCurriculum in Bioinformatics and Computational Biology, Department of Genetics, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-4238-3674 Terrence S FureyCurriculum in Bioinformatics and Computational Biology, Department of Genetics, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-5546-9672 Funding
Role of IL-10 in APC Regulation of Protective vs. Pathogenic T Cell Responses toP01DK094779 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SARTOR, RYAN B · 2013 to 2023
$17.9MHigh throughput functional studies of IBD-associated GWAS variantsR01DK136262 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Terrence S. Furey, SHEHZAD Z. SHEIKH · 2023 to 2026
$2.6MPredoctoral Training Program in Bioinformatics and Computational BiologyT32GM135123 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael Isaiah Love, William Valdar · 2021 to 2026
$1.7MMulti-omic characterization of genetic variants in IBD risk lociR01DK138462 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Terrence S. Furey, SHEHZAD Z. SHEIKH · 2024 to 2026
$1.4MEnhancement Training for the Next Generation of Translational Ph.D. ScientistsT32GM122741 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WOLBERG, ALISA S., YEH, JEN JEN · 2018 to 2022
$898kUsing molecular quantitative trait loci mapping approaches to determine candidate gene regulatory mechanisms of functional variants within inflammatory bowel disease GWAS loci.F31DK137574 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NISHIYAMA, NINA · 2024 to 2025
$85kNIDDK NIH HHS F31 DK137574NIDDK NIH HHS P01 DK094779NIDDK NIH HHS R01 DK136262NIDDK NIH HHS R01 DK138462NIGMS NIH HHS T32 GM122741NIGMS NIH HHS T32 GM135123
6 · The paper itselfAbstract
Crohn's disease (CD) is highly heterogeneous in presentation and progression with no cure. Molecular phenotyping has been used to elucidate cellular and tissue-based alterations to characterize drivers and effects of disease. One currently understudied class of functional molecules is long non-coding RNAs (lncRNAs). Studying the full lncRNA landscape in IBD is challenging due in part to an incomplete lncRNA annotation and a lack of their functional characterization in tissues of interest. We used a genome-guided alignment strategy to assemble predicted lncRNA transcripts using short RNA-sequencing data from colon tissue of adult patient samples. When combining our predicted lncRNAs with previous lncRNA annotations, we determined 98 that were differentially expressed, recapitulating many from previous IBD studies while also uncovering new ones. We built gene co-expression networks to cluster lncRNAs with functionally characterized protein-coding genes. Clusters containing differential lncRNAs were correlated to disease status and associated with pathways related to the humoral immune response, metabolism, and tissue regeneration. We uncovered multiple differential lncRNAs whose expression significantly correlated with nearby differential protein-coding genes that have also been differentially expressed in other IBD datasets, such as
Indexed as
Crohn’s diseaselong non-coding RNAstranscriptomics
Identifiers
PMID41256376
PMCPMC12621795
What Socratic holds
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LicenceCC BY
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