- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06130683
Single-Cell Sequence Technology Used to Reveal Heterogeneity of Secondary Hyperparathyroidism
This project intends to select cases that meet the research requirements, take secondary hyperparathyroidism, primary hyperparathyroidism and normal human parathyroid tissue, a total of three groups, 4 cases in each group, through the method of single-cell transcription and sequencing, construct a map of human parathyroid function types, reveal the gene structure and gene expression status of cells, and visualize the expression characteristics, intercellular heterogeneity, and heterogeneity of cell subsets of secondary hyperparathyroid cells in a hierarchical manner, draw a single-cell map, and compare the differences between groups. To explore the pathogenesis of secondary hyperparathyroidism.
Secondary hyperparathyroidism, parathyroid tissue of primary hyperparathyroidism and normal parathyroid tissue obtained by accident were collected, frozen and preserved, frozen tissue thawed, single-cell suspension was prepared and each cell was specifically labeled by the Mozhuo Genomics system, after oil breaking, polymerase chain reaction amplification, reverse transcription to obtain complementary DNA, and a library of complementary DNA that passed quality inspection was constructed to obtain high-quality data of parathyroid cells. Cell Ranger, R Seurat package, and t-SNE dimensionality reduction diagram were used to reduce the dimensionality, cluster, and visualize the data.
In order to construct a single-cell atlas of parathyroid glands, investigators performed cluster analysis of similar cells according to the gene expression profile, and then visualized the data by t-SNE. According to the results of cell clustering, the specific and highly expressed genes in each cell cluster were identified. Cell populations were identified according to the expression of landmark genes, and the differences in cell types and proportions between groups were compared.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Chunyu Li
- Phone Number: 86 18031662801
- Email: seonjuk@foxmail.com
Study Contact Backup
- Name: Haowen Xu
- Phone Number: 86 15099539369
- Email: xuhaowenbucm@163.com
Study Locations
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Beijing, China
- Recruiting
- China and Japan Friendship Hospital
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Contact:
- Meng Yang
- Phone Number: 13651107012
- Email: mengyang7012@163.com
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Study participants with a diagnosis of secondary hyperparathyroidism who underwent surgical treatment
- Study participants with a diagnosis of primary hyperparathyroidism who underwent surgical treatment
- Study participants who have obtained informed consent
Exclusion Criteria:
- Other non-secondary hyperparathyroidism conditions such as primary hyperparathyroidism were excluded at the time of inclusion of study participants with essential hyperparathyroidism.
- Other non-primary hyperparathyroid conditions such as secondary hyperparathyroidism were excluded at the time of inclusion of study participants with essential hyperparathyroidism.
- Refusal of informed consent.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Secondary Hyperparathyroidism
Patients who were diagnosed as secondary hyperparathyroidism
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Single-cell sequencing technology can reveal the gene structure and gene expression status of individual cells, reflecting the heterogeneity between cells.
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Primary Hyperparathyroidism
Patients who were diagnosed as primary hyperparathyroidism
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Single-cell sequencing technology can reveal the gene structure and gene expression status of individual cells, reflecting the heterogeneity between cells.
|
Normal group
Parathyroid tissue obtained incidentally during other neck surgeries, derived from people without parathyroid disease.
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Single-cell sequencing technology can reveal the gene structure and gene expression status of individual cells, reflecting the heterogeneity between cells.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Construct the single-cell atlas
Time Frame: One year
|
A single-cell atlas of normal parathyroid, primary hyperparathyroidism, and secondary hyperparathyroidism was constructed. Differential analysis is performed to explore differences in gene expression. Next step is to perform kegg and analyze the pathway information. Cell populations are used to explore changes in cell state during population progression. Quasi-temporal analysis is designed to delineate the dynamic trajectory of cell differentiation and the dynamic process of gene expression. SCENIC is a network for inferring gene co-expression. Investigators will use software such as CellRanger and the Seurat package in R word to implement this. |
One year
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Meng Yang, China-Japan Friendship Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2023-NHLHCRF-YYPPLC-ZR-08
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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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