Back

Generation of an induced pluripotent stem cell line from a healthy adult indigenous Nigerian participant

Muhammad, Z.; Brown, P. W.; Babazau, L.; Alkhamis, A. I.; Goni, B. W.; Nggada, H. A.; Mbaya, K. M.; Wray, S.; Marte, I. H.; Karch, C.; Serpell, L.; Maina, M. B.

2023-07-21 cell biology
10.1101/2023.07.21.550059 bioRxiv
Show abstract

Genetic backgrounds contribute to cellular phenotypes, drug responsiveness, and health outcomes. However, the majority of human induced pluripotent stem cell (iPSC) lines are derived from individuals of European descent. Thus, there is a major, unmet need in the generation, characterisation, and distribution of iPSCs from diverse ancestries. To begin to address this need, we have generated iPSCs from dermal fibroblasts isolated from a healthy 60-year-old indigenous Nigerian male belonging to the Babur ethnic group. The iPSCs were generated using Sendai virus, and copy number variation (CNV) analysis revealed no new major abnormalities compared to the parental fibroblasts. The iPSCs have been characterised for pluripotency markers and morphology and successfully differentiated into neural progenitor cells and astrocytes. This iPSC line could serve as a healthy control in comparative studies and can be used in disease modelling, toxicity assessments, genetic analyses, and drug discovery processes within an African genetic background. To bolster the inclusion of African models in biomedical research, this iPSC line will be made available to the broader scientific community. Ongoing efforts focus on generating more lines from diverse indigenous populations towards creating a dedicated open-access African iPSC biobank.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Stem Cell Research
16 papers in training set
Top 0.1%
19.1%
2
PLOS ONE
5266 papers in training set
Top 9%
19.1%
3
Stem Cell Reports
130 papers in training set
Top 0.4%
5.7%
4
Cytotherapy
15 papers in training set
Top 0.1%
5.7%
5
Stem Cells
31 papers in training set
Top 0.1%
5.7%
50% of probability mass above
6
Stem Cell Research & Therapy
30 papers in training set
Top 0.1%
5.7%
7
Scientific Reports
3612 papers in training set
Top 25%
4.2%
8
Cells
249 papers in training set
Top 2%
2.2%
9
iScience
1154 papers in training set
Top 16%
1.8%
10
Wellcome Open Research
67 papers in training set
Top 0.6%
1.7%
11
Biology Open
156 papers in training set
Top 2%
1.7%
12
Immunity, Inflammation and Disease
10 papers in training set
Top 0.1%
1.7%
13
Stem Cells Translational Medicine
13 papers in training set
Top 0.2%
1.5%
14
Genes
144 papers in training set
Top 2%
1.5%
15
Scientific Data
209 papers in training set
Top 2%
1.4%
16
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 4%
1.1%
17
F1000Research
88 papers in training set
Top 3%
1.1%
18
International Journal of Molecular Sciences
494 papers in training set
Top 12%
1.1%
19
Life
29 papers in training set
Top 0.7%
1.0%
20
Experimental Dermatology
10 papers in training set
Top 0.2%
0.6%
21
Aging
75 papers in training set
Top 2%
0.6%
22
Methods
34 papers in training set
Top 0.8%
0.6%
23
eLife
5828 papers in training set
Top 71%
0.5%
24
Orphanet Journal of Rare Diseases
21 papers in training set
Top 0.8%
0.5%
25
Biology Methods and Protocols
61 papers in training set
Top 3%
0.5%
26
Experimental Cell Research
28 papers in training set
Top 0.9%
0.5%