Silk-Ovarioids: Establishment and characterization of human ovarian primary cells 3D-model system
https://doi.org/10.48723/h8cm-bs19
The samples in the dataset are connected to a study focusing on establishment of a long-term stable three-dimensional (3D) model of human primary ovarian cells for toxicological research. These samples are collected from patients undergoing elective abdominal surgery. The cortex and medulla were separated and dissociated into single-cell suspension using mechanical and enzymatic methods, followed by culture in 2D and 3D systems. In total 75 samples are included in the dataset (36 samples from cortex and 39 from medulla). Among these samples, 29 tissue samples were used as reference in the comparison of 2D culture vs tissue and 3D culture vs tissue. 16 samples from 2D culture were used as the reference in the comparison of 3D vs 2D. The rest 30 samples were from 3D culture (Silk-Ovarioid).
RNA extraction of tissues and 2D cultured cells was performed using RNeasy Mini Kit (Qiagen, Germany). Total RNA of Silk-Ovarioids samples was extracted using RNeasy Micro Kit (Qiagen, Germany). Only samples with RIN values > 9 were used for library preparation. Libraries were prepared using Illumina Stranded mRNA Prep Ligation protocol (Illumina, USA) using 10 ng RNA as input. Pooled libraries were sequenced on Illumina NovaSeq 6000 platform. Fastq files were mapped to human genome GRCh38 using STAR (version 2.7.10b). subread package (version 2.0.1) was used to align the bam files using featureCount function. After import the raw data matrix into Rstudio, technical replicates were collapsed using DESeq2 collapseReplicates function. GRCh38 (Homo_sapiens.GRCh38.108.chr.gtf) was used for mapping and alignment.
The dataset consists of 150 files in fastq format, compressed with GNUzip (gzip), one file in txt format and one file in xlsx format. The total size of the dataset is approximately 400 GB.
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
- Zhijie Xiao - BioLamina
Research principal:
Data contains personal data:
Yes
Type of personal data:
Transcriptomic data
Code key exists:
Yes
Sensitive personal data:
Yes
Data contain other protected information:
Yes
Type of protected information:
Transcriptomic data from patients
Citation:
Language:
Method and outcome
Method and outcome
Unit of analysis:
Population:
The samples were obtained from patients undergoing elective abdominal surgery recruited from Karolinska University Hospital, Huddinge, Sweden.
Time method:
Study design:
- Experimental study
Data format/data structure:
Samples/material - Collected from scientific collection/biobank
Samples/material - Collected from scientific collection/biobank
Name:
KI biobank, collection "Miljökemikalier och kvinnlig fertilitet"
Samples/material - Existing from scientific collection/biobank
Samples/material - Existing from scientific collection/biobank
Name:
KI biobank, collection "Miljökemikalier och kvinnlig fertilitet"
Data collection - Registry extract and/or access to biobank sample
Data collection - Registry extract and/or access to biobank sample
Mode of collection:
Registry extract and/or access to biobank sample
Geographic coverage
Geographic coverage
Geographic location:
Administrative information
Administrative information
Responsible department/unit:
Department of Women's and Children's Health [K6]
Ethics Review 1:
Swedish Ethical Review Authority - 2021-04563
Ethics Review 2:
Swedish Ethical Review Authority - 2015/798-31
Funding
Funding
Funding agency:
- Center for Innovative Medicine
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Funding agency:
- European Union's horizon 2020 research and innovation program (project ERIN)
Award number:
952516
Funding agency:
- Horizon Europe grant (NESTOR)
Award number:
101120075
Funding agency:
- Swedish Research Council for Environment Agricultural Sciences and Spatial Planning
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Award number:
2018-02280
Funding agency:
- Swedish Research Council for Environment Agricultural Sciences and Spatial Planning
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Award number:
2020-01621
Funding agency:
- Swedish Research Council
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Award number:
2020-02132
Funding agency:
- Swedish Childhood Cancer Fund
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Award number:
PR2017-0044
Funding agency:
- Swedish Childhood Cancer Fund
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Award number:
PR2020-0096
Funding agency:
- Estonian Research Council
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Award number:
PRG1076
Funding agency:
- European Union's H2020 project Sinfonia
Award number:
857253
Funding agency:
- Programa Operacional Temático Factores de Competitividade
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Award number:
NORTE-01-0145-FEDER-000047
Topic and keywords
Topic and keywords
Standard för svensk indelning av forskningsämnen 2025:
Keywords:
Relations
Relations
Related resource:
Publications
Publications
Citation:
Valentina Di Nisio, Tianyi Li, Zhijie Xiao, Kiriaki Papaikonomou, Anastasios Damdimopoulos, Ákos Végvári, Filipa Lebre, Ernesto Alfaro-Moreno, Mikael Pedersen, Terje Svingen, Roman Zubarev, Ganesh Acharya, Pauliina Damdimopoulou, Andres Salumets, Silk-Ovarioids: establishment and characterization of a human ovarian primary cell 3D-model system, Human Reproduction Open, 2025;, hoaf042, https://doi.org/10.1093/hropen/hoaf042Opens in a new tab
