Enhanced osteogenic potential of iPSC-derived mesenchymal progenitor cells following genome editing of GWAS variants in the RUNX1 gene

Nazir M. Khan, Andrea Wilderman, Jarred M. Kaiser, Archana Kamalakar, Steven L. Goudy, Justin Cotney, Hicham Drissi

Bone Research ›› 2024, Vol. 12 ›› Issue (1) : 70.

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Bone Research ›› 2024, Vol. 12 ›› Issue (1) : 70. DOI: 10.1038/s41413-024-00369-x
Article

Enhanced osteogenic potential of iPSC-derived mesenchymal progenitor cells following genome editing of GWAS variants in the RUNX1 gene

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Abstract

Recent genome-wide association studies (GWAS) identified 518 significant loci associated with bone mineral density (BMD), including variants at the RUNX1 locus (rs13046645, rs2834676, and rs2834694). However, their regulatory impact on RUNX1 expression and bone formation remained unclear. This study utilized human induced pluripotent stem cells (iPSCs) differentiated into osteoblasts to investigate these variants’ regulatory roles. CRISPR/Cas9 was employed to generate mutant (Δ) iPSC lines lacking these loci at the RUNX1 locus. Deletion lines (Δ1 and Δ2) were created in iPSCs to assess the effects of removing regions containing these loci. Deletion lines exhibited enhanced osteogenic potential, with increased expression of osteogenic marker genes and Alizarin Red staining. Circularized chromosome conformation capture (4C-Seq) was utilized to analyze interactions between BMD-associated loci and the RUNX1 promoter during osteogenesis. Analysis revealed altered chromatin interactions with multiple gene promoters including RUNX1 isoform, as well as SETD4, a histone methyltransferase, indicating their regulatory influence. Interestingly, both deletion lines notably stimulated the expression of the long isoform of RUNX1, with more modest effects on the shorter isoform. Consistent upregulation of SETD4 and other predicted targets within the Δ2 deletion suggested its removal removed a regulatory hub constraining expression of multiple genes at this locus. In vivo experiments using a bone defect model in mice demonstrated increased bone regeneration with homozygous deletion of the Δ2 region. These findings indicate that BMD-associated variants within the RUNX1 locus regulate multiple effector genes involved in osteoblast commitment, providing valuable insights into genetic regulation of bone density and potential therapeutic targets.

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Nazir M. Khan, Andrea Wilderman, Jarred M. Kaiser, Archana Kamalakar, Steven L. Goudy, Justin Cotney, Hicham Drissi. Enhanced osteogenic potential of iPSC-derived mesenchymal progenitor cells following genome editing of GWAS variants in the RUNX1 gene. Bone Research, 2024, 12(1): 70 https://doi.org/10.1038/s41413-024-00369-x

References

[1.]
CefaluCA. Is bone mineral density predictive of fracture risk reduction?. Curr. Med. Res. Opin., 2004, 20: 341-349
CrossRef Google scholar
[2.]
ClarkEM, NessAR, BishopNJ, TobiasJH. Association between bone mass and fractures in children: a prospective cohort study. J. Bone Miner. Res. Off. J. Am. Soc. Bone Miner. Res., 2006, 21: 1489-1495
CrossRef Google scholar
[3.]
GouldingA, JonesIE, TaylorRW, WilliamsSM, ManningPJ. Bone mineral density and body composition in boys with distal forearm fractures: a dual-energy x-ray absorptiometry study. J. Pediatr., 2001, 139: 509-515
CrossRef Google scholar
[4.]
KalkwarfHJ, LaorT, BeanJA. Fracture risk in children with a forearm injury is associated with volumetric bone density and cortical area (by peripheral QCT) and areal bone density (by DXA). Osteoporos. Int., 2011, 22: 607-616
CrossRef Google scholar
[5.]
HeaneyRP, et al. . Peak bone mass. Osteoporos. Int., 2000, 11: 985-1009
CrossRef Google scholar
[6.]
MorrisJA, et al. . An atlas of genetic influences on osteoporosis in humans and mice. Nat. Genet., 2019, 51: 258-266
CrossRef Google scholar
[7.]
YergesLM, et al. . Candidate gene analysis of femoral neck trabecular and cortical volumetric bone mineral density in older men. J. Bone Miner. Res. Off. J. Am. Soc. Bone Miner. Res., 2010, 25: 330-338
CrossRef Google scholar
[8.]
ZhengHF, et al. . Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture. Nature, 2015, 526: 112-117
CrossRef Google scholar
[9.]
Díaz-HernándezME, et al. . Sexually dimorphic increases in bone mass following tissue-specific overexpression of Runx1 in Osteoclast Precursors. Endocrinology, 2022, 163: bqac113
CrossRef Google scholar
[10.]
PagliaDN, et al. . Deletion of Runx1 in osteoclasts impairs murine fracture healing through progressive woven bone loss and delayed cartilage remodeling. J. Orthop. Res. Off. Publ. Orthop. Res. Soc., 2020, 38: 1007-1015
CrossRef Google scholar
[11.]
PagliaDN, et al. . Runx1 regulates myeloid precursor differentiation into osteoclasts without affecting differentiation into antigen presenting or phagocytic cells in both males and females. Endocrinology, 2016, 157: 3058-3069
CrossRef Google scholar
[12.]
Soung doY, et al. . Runx1-mediated regulation of osteoclast differentiation and function. Mol. Endocrinol., 2014, 28: 546-553
CrossRef Google scholar
[13.]
SollisE, et al. . The NHGRI-EBI GWAS Catalog: knowledgebase and deposition resource. Nucleic acids Res., 2023, 51: 977-985
CrossRef Google scholar
[14.]
MauranoMT, et al. . Systematic localization of common disease-associated variation in regulatory DNA. Science, 2012, 337: 1190-1195
CrossRef Google scholar
[15.]
MusunuruK, et al. . From noncoding variant to phenotype via SORT1 at the 1p13 cholesterol locus. Nature, 2010, 466: 714-719
CrossRef Google scholar
[16.]
SanyalA, LajoieBR, JainG, DekkerJ. The long-range interaction landscape of gene promoters. Nature, 2012, 489: 109-113
CrossRef Google scholar
[17.]
ClaussnitzerM, et al. . FTO obesity variant circuitry and adipocyte browning in humans. N. Engl. J. Med., 2015, 373: 895-907
CrossRef Google scholar
[18.]
SmemoS, et al. . Obesity-associated variants within FTO form long-range functional connections with IRX3. Nature, 2014, 507: 371-375
CrossRef Google scholar
[19.]
GeevenG, TeunissenH, de LaatW, de WitE. peakC: a flexible, non-parametric peak calling package for 4C and Capture-C data. Nucleic Acids Res., 2018, 46: e91
CrossRef Google scholar
[20.]
AutonA, et al. . A global reference for human genetic variation. Nature, 2015, 526: 68-74
CrossRef Google scholar
[21.]
KundajeA, et al. . Integrative analysis of 111 reference human epigenomes. Nature, 2015, 518: 317-330
CrossRef Google scholar
[22.]
Diaz-HernandezME, et al. . Derivation of notochordal cells from human embryonic stem cells reveals unique regulatory networks by single cell-transcriptomics. J. Cell. Physiol., 2020, 235: 5241-5255
CrossRef Google scholar
[23.]
BilousovaG, et al. . Osteoblasts derived from induced pluripotent stem cells form calcified structures in scaffolds both in vitro and in vivo. Stem cells, 2011, 29: 206-216
CrossRef Google scholar
[24.]
ZujurD, et al. . Stepwise strategy for generating osteoblasts from human pluripotent stem cells under fully defined xeno-free conditions with small-molecule inducers. Regen. Ther., 2020, 14: 19-31
CrossRef Google scholar
[25.]
GuzzoRM, DrissiH. Differentiation of human induced pluripotent stem cells to chondrocytes. Methods Mol. Biol., 2015, 1340: 79-95
CrossRef Google scholar
[26.]
Khan, N. M. et al. Differential chondrogenic differentiation between iPSC derived from healthy and OA cartilage is associated with changes in epigenetic regulation and metabolic transcriptomic signatures. eLife 12, e83138 (2023).
[27.]
KhanNM, Diaz-HernandezME, DrissiH. Differentiation of human induced pluripotent stem cells (iPSCs)-derived mesenchymal progenitors into chondrocytes. Bio-Protoc., 2023, 13: e4874
CrossRef Google scholar
[28.]
LiuX, FangT, ShiT, WangY, LiuG. Hydrogels provide microenvironments to mesenchymal stem cells for craniofacial bone regeneration: review. J. Biomater. Appl., 2023, 38: 3-24
CrossRef Google scholar
[29.]
KamalakarA, et al. . JAGGED1 stimulates cranial neural crest cell osteoblast commitment pathways and bone regeneration independent of canonical NOTCH signaling. Bone, 2021, 143: 115657
CrossRef Google scholar
[30.]
GarcíaAJ. PEG-maleimide hydrogels for protein and cell delivery in regenerative medicine. Ann. Biomed. Eng., 2014, 42: 312-322
CrossRef Google scholar
[31.]
YeS, et al. . SET domain-containing protein 4 epigenetically controls breast cancer stem cell quiescence. Cancer Res., 2019, 79: 4729-4743
CrossRef Google scholar
[32.]
AgredoA, KasinskiAL. Histone 4 lysine 20 tri-methylation: a key epigenetic regulator in chromatin structure and disease. Front. Genet., 2023, 14: 1243395
CrossRef Google scholar
[33.]
LiaoX, et al. . SETD4 in the proliferation, migration, angiogenesis, myogenic differentiation and genomic methylation of bone marrow mesenchymal stem cells. Stem Cell Rev. Rep., 2021, 17: 1374-1389
CrossRef Google scholar
[34.]
DixonJR, et al. . Chromatin architecture reorganization during stem cell differentiation. Nature, 2015, 518: 331-336
CrossRef Google scholar
[35.]
NaikNG, et al. . Epigenetic factor siRNA screen during primary KSHV infection identifies novel host restriction factors for the lytic cycle of KSHV. PLoS Pathog., 2020, 16: e1008268
CrossRef Google scholar
[36.]
ImJY, et al. . Bone regeneration of mouse critical-sized calvarial defects with human mesenchymal stem cells in scaffold. Lab Anim. Res, 2013, 29: 196-203,
CrossRef Google scholar
[37.]
LeviB, et al. . Human adipose derived stromal cells heal critical size mouse calvarial defects. PLoS ONE, 2010, 5: e11177
CrossRef Google scholar
[38.]
AmbrosiTH, et al. . Aged skeletal stem cells generate an inflammatory degenerative niche. Nature, 2021, 597: 256-262
CrossRef Google scholar
[39.]
ChanCK, et al. . Identification and specification of the mouse skeletal stem cell. Cell, 2015, 160: 285-298
CrossRef Google scholar
[40.]
DebnathS, et al. . Discovery of a periosteal stem cell mediating intramembranous bone formation. Nature, 2018, 562: 133-139
CrossRef Google scholar
[41.]
KhanNM, et al. . Wogonin, a plant derived small molecule, exerts potent anti-inflammatory and chondroprotective effects through the activation of ROS/ERK/Nrf2 signaling pathways in human Osteoarthritis chondrocytes. Free Radic. Biol. Med., 2017, 106: 288-301
CrossRef Google scholar
[42.]
KhanNM, CliftonKB, LorenzoJ, HansenMF, DrissiH. Comparative transcriptomic analysis identifies distinct molecular signatures and regulatory networks of chondroclasts and osteoclasts. Arthritis Res. Ther., 2020, 22: 168
CrossRef Google scholar
[43.]
KhanNM, Diaz-HernandezME, PresciuttiSA-O, DrissiH. Network analysis identifies gene regulatory network indicating the role of RUNX1 in human intervertebral disc degeneration. Genes (Basel), 2020, 11: 771
CrossRef Google scholar
[44.]
GuzzoRM, GibsonJ, XuRH, LeeFY, DrissiH. Efficient differentiation of human iPSC-derived mesenchymal stem cells to chondroprogenitor cells. J. Cell. Biochem., 2013, 114: 480-490
CrossRef Google scholar
[45.]
DominiciM, et al. . Minimal criteria for defining multipotent mesenchymal stromal cells. The International Society for Cellular Therapy position statement. Cytotherapy, 2006, 8: 315-317
CrossRef Google scholar
[46.]
KhanNM, PoduvalTB. Immunomodulatory and immunotoxic effects of bilirubin: molecular mechanisms. J. Leukoc. Biol., 2011, 90: 997-1015
CrossRef Google scholar
[47.]
Diaz-HernandezME, KhanNM, DrissiH. Efficient differentiation of human induced pluripotent stem cell (hiPSC)-derived mesenchymal progenitors into adipocytes and osteoblasts. Bio-Protoc., 2023, 13: e4885
CrossRef Google scholar
[48.]
KhanNM, AhmadI, HaqqiTM. Nrf2/ARE pathway attenuates oxidative and apoptotic response in human osteoarthritis chondrocytes by activating ERK1/2/ELK1-P70S6K-P90RSK signaling axis. Free Radic. Biol. Med., 2018, 116: 159-171
CrossRef Google scholar
[49.]
BouxseinML, et al. . Guidelines for assessment of bone microstructure in rodents using micro-computed tomography. J. Bone Miner. Res. Off. J. Am. Soc. Bone Miner. Res., 2010, 25: 1468-1486
CrossRef Google scholar
[50.]
KhanNM, et al. . pH-sensing G protein-coupled orphan receptor GPR68 is expressed in human cartilage and correlates with degradation of extracellular matrix during OA progression. PeerJ, 2023, 11: e16553
CrossRef Google scholar
[51.]
van de WerkenHJ, et al. . 4C technology: protocols and data analysis. Methods Enzymol., 2012, 513: 89-112
CrossRef Google scholar
[52.]
CotneyJ, et al. . Chromatin state signatures associated with tissue-specific gene expression and enhancer activity in the embryonic limb. Genome Res., 2012, 22: 1069-1080
CrossRef Google scholar
[53.]
BolgerAM, LohseM, UsadelB. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics, 2014, 30: 2114-2120
CrossRef Google scholar
[54.]
LangmeadB, SalzbergSL. Fast gapped-read alignment with Bowtie 2. Nat. Methods, 2012, 9: 357-359
CrossRef Google scholar
[55.]
ServantN, et al. . HiC-Pro: an optimized and flexible pipeline for Hi-C data processing. Genome Biol., 2015, 16 259
CrossRef Google scholar
[56.]
RamírezF, et al. . High-resolution TADs reveal DNA sequences underlying genome organization in flies. Nat. Commun., 2018, 9 189
CrossRef Google scholar
Funding
U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)(AR071536)

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