Evidence map›Paper›PMID 37576705›Full record

ReviewWorld journal of gastroenterology2023

Application of single-cell omics in inflammatory bowel disease.

Hengqi Betty Zheng

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What 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 registry

The 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 literature

Who cites it

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Foods (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Hengqi Betty ZhengDepartment of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, WA 98105, United States. betty.zheng@gmail.com.
Seattle Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, the advent of single cell RNA-sequencing has revolutionized the approach in cellular transcriptomics research. The current technology offers an unbiased platform to understand how genotype correlates to phenotype. Single-cell omics applications in gastrointestinal (GI) research namely inflammatory bowel disease (IBD) has become popular in the last few years with multiple publications as single-cell omics techniques can be applied directly to the target organ, the GI tract at the tissue level. Through examination of mucosal tissue and peripheral blood in IBD, the recent boom in single cell research has identified a myriad of key immune players from enterocytes to tissue resident memory T cells, and explored functional heterogeneity within cellular subsets previously unreported. As we begin to unravel the complex mucosal immune system in states of health and disease like IBD, the power of exploration through single-cell omics can change our approach to translational research. As novel techniques evolve through multiplexing single-cell omics and spatial transcriptomics come to the forefront, we can begin to fully comprehend the disease IBD and better design targets of treatment. In addition, hopefully these techniques can ultimately begin to identify biomarkers of therapeutic response and answer clinically relevant questions in how to tailor individual therapy to patients through personalized medicine.

Indexed as

Colitis, UlcerativeInflammatory Bowel DiseasesBiomarkersGene Expression ProfilingGenotypeHumansPhenotypeBiomarkersCrohn’s diseaseInflammatory bowel diseasePrecision medicineSingle-cell omicsSingle cell RNA-sequencingUlcerative colitis

Identifiers

PMID37576705
PMCPMC10415967
OpenAlexW4385319077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.