- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05195502
Mapping the Human Colon Using Single Cell Sequencing (COLATA)
Cellular Composition of the Human Colon Using Single-cell RNA and Single-cell ATAC-sequencing.
Study Overview
Status
Intervention / Treatment
Detailed Description
The human colon is composed of four distinct histological layers: Serosa, muscularis externa, submucosa, and mucosa. The inner mucosal surface is composed of columnar epithelium and glandular tissue containing crypts of Lieberkühn and secretory goblet cells, lamina propria and muscularis mucosa. Several distinct cell types have been discovered in varying degree in the colon for example enteroendocrine cells and M-cells.
The cellular composition, patterns of gene expression and upstream regulatory pathways of the human colon varies across different anatomical location. This is evident in the anatomical bias in benign and malignant colorectal diseases. For example, the distal colon has a higher incidens of ulcerative colitis, diverticulitis, and chromosomal instability cancer whereas in the proximal colon ischemic colitis, collagenous colitis and microsatellite instability-induced cancer are predominant.
Currently there are no studies describing baseline data for genome-wide coding, methylation or gene expression related to specific anatomic locations in the human colon.
By using scRNAseq and scATACseq (Single-cell Assay of Transposase Accessible Chromatin sequencing) we will be able to map open regions in the cell's DNA and RNA, thus providing us with a unique "map" of the cells in the colon as well is their gene expression. ScATACseq visualizes open regions in the chromatin, generating "peaks" which can then be used to map DNA motifs, such as transcription factor binding sites. With the emergence of scATACseq, chromatin accessibility is in combination with gene expression data an extremely useful resource to study cell type specific regulatory DNA interactions. To further study the immunological aspects of the colon, we will extract immune cells from the colon. Lastly, full blood will be extracted to better analyze metabolic risk factors in relation to the colon's metabolic cellular regulation.
The overall purpose of this study is to describe the cellular composition of the human colon and its gene expression using scRNAseq and scATACseq methods. This will potentially provide is with a detailed map of the colon aiding our understanding of how diseases of the colon develop as well as the colons influence on systemic diseases such as type II diabetes.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
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Copenhagen, Denmark, 2720
- Bispebjerg University Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients referred for out-patient colonoscopy as a result of positive hemoccult.
- Patients able to read and understand danish.
- Patients able to give informed consent.
- Patients of Scandinavian ethnicity.
Exclusion Criteria:
- Previous large bowel resections
- Suspicion pre or intraoperatively of benign or malignant disease of the colon
- Known inflammatory bowel disease.
- Immuno-modulation treatment
- Chemotherapy.
- Daily smoking
- > 21 weekly units of alcohol
- < 18 years of age
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Screening colonoscopy patients
Patients referred for out-patient colonoscopy in the Danish Colorectal Screening program
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Participants included in the study, will have additional biopsies performed during their colonoscopy
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Profiling of open chromatin regions
Time Frame: 2 years
|
Mapping of cell types, including rare cell types, using profiling of open chromatin regions.
(ATAC-seq) in mucosal biopsies from the large bowel
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2 years
|
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Evaluation of metabolic profile
Time Frame: 2 years
|
Using bioimpedance, insulin and glucose measurements and CHiP-seq we will determine patient phenotype and epigenetics to evaluate their metabolic risk-profile and correlate this to cell types in the large bowel
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2 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Colonic biofilm
Time Frame: 2 years
|
By sequencing bacterial DNA in our samples, we will evaluate the mucosa-associated microbiome of the large bowel.
This will be correlated to the two primary outcome measures
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2 years
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Jacob Antonsen, MD, Bispebjerg Hospital
Publications and helpful links
General Publications
- Buenrostro JD, Wu B, Chang HY, Greenleaf WJ. ATAC-seq: A Method for Assaying Chromatin Accessibility Genome-Wide. Curr Protoc Mol Biol. 2015 Jan 5;109:21.29.1-21.29.9. doi: 10.1002/0471142727.mb2129s109.
- Kaz AM, Wong CJ, Dzieciatkowski S, Luo Y, Schoen RE, Grady WM. Patterns of DNA methylation in the normal colon vary by anatomical location, gender, and age. Epigenetics. 2014 Apr;9(4):492-502. doi: 10.4161/epi.27650. Epub 2014 Jan 10.
- Knight JM, Kim E, Ivanov I, Davidson LA, Goldsby JS, Hullar MA, Randolph TW, Kaz AM, Levy L, Lampe JW, Chapkin RS. Comprehensive site-specific whole genome profiling of stromal and epithelial colonic gene signatures in human sigmoid colon and rectal tissue. Physiol Genomics. 2016 Sep 1;48(9):651-9. doi: 10.1152/physiolgenomics.00023.2016. Epub 2016 Jul 8.
- Forgue-Lafitte ME, Fabiani B, Levy PP, Maurin N, Flejou JF, Bara J. Abnormal expression of M1/MUC5AC mucin in distal colon of patients with diverticulitis, ulcerative colitis and cancer. Int J Cancer. 2007 Oct 1;121(7):1543-9. doi: 10.1002/ijc.22865.
- Costales-Carrera A, Fernandez-Barral A, Bustamante-Madrid P, Dominguez O, Guerra-Pastrian L, Cantero R, Del Peso L, Burgos A, Barbachano A, Munoz A. Comparative Study of Organoids from Patient-Derived Normal and Tumor Colon and Rectal Tissue. Cancers (Basel). 2020 Aug 15;12(8):2302. doi: 10.3390/cancers12082302.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Endocrine System Diseases
- Neoplasms by Site
- Neoplasms
- Metabolic Diseases
- Intestinal Diseases
- Gastrointestinal Neoplasms
- Digestive System Neoplasms
- Digestive System Diseases
- Gastrointestinal Diseases
- Colorectal Neoplasms
- Intestinal Neoplasms
- Glucose Metabolism Disorders
- Colonic Diseases
- Gastroenteritis
- Nutritional and Metabolic Diseases
- Colonic Neoplasms
- Diabetes Mellitus
- Inflammatory Bowel Diseases
- Investigative Techniques
- Specimen Handling
- Clinical Laboratory Techniques
- Diagnostic Techniques and Procedures
- Diagnosis
- Surgical Procedures, Operative
- Cytological Techniques
- Cytodiagnosis
- Diagnostic Techniques, Surgical
- Biopsy
Other Study ID Numbers
- COLKEND01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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