Abstract
Free sialic acid storage disorder (FSASD) is a rare, autosomal recessive, neurodegenerative disorder caused by biallelic mutations in SLC17A5, encoding the lysosomal transmembrane sialic acid exporter, SLC17A5. Defects in SLC17A5 lead to lysosomal accumulation of free sialic acid and other acid hexoses. The clinical spectrum of FSASD ranges from mild (Salla disease) to severe infantile forms. The pathobiology underlying FSASD remains elusive. In this study, two induced pluripotent stem cell (iPSC) lines were generated from a mild and an intermediate FSASD patient and characterized to provide much-needed additional models for basic and translational studies.
Resource Table
Unique stem cell lines identifier | 1) NHGRIi001-A: https://hpscreg.eu/cell-line/NHGRIi001-A |
---|---|
2) NHGRIi002-A: https://hpscreg.eu/cell-line/NHGRIi002-A | |
| |
Alternative name(s) of stem cell lines | 1) iPSC-1: FISAL04_Sia80 2) iPSC-2: CDG.1121_Sia74 |
Institution | National Institutes of Health (NIH), National Human Genome Research Institute (NHGRI) |
Contact information of distributor | May Christine V. Malicdan, MD, PhD; maychristine.malicdan@nih.gov |
Type of cell lines | iPSC |
Origin | Human |
Additional origin info required | iPSC-1: 4-year-old male of Caucasian/Finnish ancestry iPSC-2: 16-month-old female of Hispanic/Dominican ancestry |
Cell Source | Patient-derived fibroblasts |
Clonality | Clonal |
Method of reprogramming | Episomal vectors |
Genetic Modification | Yes |
Type of Genetic Modification | Spontaneous mutation |
Evidence of the reprogramming transgene loss (including genomic copy if applicable) | RT-PCR |
Associated disease | Free sialic acid storage disorder (FSASD) |
Gene/locus | SLC17A5 gene, 6q13 |
Date archived/stock date | April 2022 |
Cell line repository/bank | N/A |
Ethical approval | iPSC-1: Fibroblasts were obtained from a Finnish Salla patient and curated by the Biobank Unit of the Finnish Institute for Health and Welfare (THL), Helsinki, Finland, and approved by the THL Institutional Review Board. The fibroblasts were transferred to NIH under a Material Transfer Agreement. iPSC-2: This patient was enrolled on protocol 14-HG-0071 (ClinicalTrials.gov Identifier: NCT02089789) “Clinical and Basic Investigations into Known and Suspected Congenital Disorders of Glycosylation” approved by the NHGRI Institutional Review Board at the National Institutes of Health. |
1. Resource utility
Disease-relevant models for studying FSASD are limited (Huizing et al., 2021). The availability of two FSASD iPSC models with different SLC17A5 mutations is valuable for investigating molecular and cellular mechanisms and serving as a platform for screening pharmacologic therapies. Prospective utility also includes differentiation into specialized cell types and organoids.
2. Resource details
Free sialic acid storage disorder (FSASD; MIM#604369 and #269920) is a rare autosomal recessive, neurodegenerative, multi-system disorder caused by biallelic mutations in the SLC17A5 gene (MIM#604322), encoding the lysosomal transmembrane exporter, SLC17A5 (sialin) (Huizing et al., 2021; Verheijen et al., 1999). Sialin, a 12-transmembrane domain lysosomal, proton-coupled cotransporter, exports sialic acid and other acidic hexoses from the lysosomal compartment into the cytosol. Defective sialin results in abnormal accumulation of free sialic acid within lysosomes (Huizing et al., 2021; Zielonka et al., 2019). Since its initial characterization, FSASD has been classified into three entities based on clinical severity: infantile free sialic acid storage disease (ISSD or severe FSASD); intermediate severe Salla disease (intermediate FSASD); and the mildest form, Salla disease (mild FSASD) (Adams and Wasserstein, 2003; Barmherzig et al., 2017). Severe FSASD patients present at birth with severe developmental delay, coarse facial features, hepatosplenomegaly and cardiomegaly; they succumb to death in early childhood. On the mild end of the spectrum, patients have a normal appearance at birth, followed by slowly progressive neurologic deterioration resulting in mild-to-moderate psychomotor delays, spasticity, athetosis, and epileptic seizures. Worldwide, 246 individuals with FSASD have been reported with biallelic SLC17A5 variants; 185 (75 %) carry the Finnish founder missense variant, c.115C > T; p.Arg39Cys (p.R39C) in the homozygous or compound heterozygous state. The type of SLC17A5 variant and the effects of SLC17A5 variants on sialic acid transport activity, sialin intracellular localization, and amount of stored free sialic acid have been directly correlated with clinical severity and survival (Adams and Wasserstein, 2003; Zielonka et al., 2019; Barmherzig et al., 2017). Skin fibroblasts and lymphoblasts/leukocytes have been used as disease models in scarcely reported FSASD studies, with some limitations (Huizing et al., 2021). The lack of disease-relevant cell and animal models for FSASD has posed challenges to the study of the pathobiology and, importantly, treatment strategies for this devastating neurodegenerative disorder.
To facilitate a cell-based platform for disease modeling and high-throughput evaluation of drug libraries, two induced pluripotent stem cell (iPSC) lines were generated from patients’ fibroblasts (Table 1) using episomal reprogramming and characterized accordingly (Table 2). These iPSC lines were verified to contain the SLC17A5 mutations present in the parental cell lines (Supplementary Fig. 1A) and had similar short tandem repeat profiling of the parental somatic cells (Supplemental STR Table), confirming cell identity. These lines displayed typical embryonic stem cell-like morphology (Fig. 1A), a normal karyotype (Fig. 1C), and tested negative for mycoplasma contamination (Supplementary Fig. 1B). Pluripotency status in these lines was established by quantifying the expression of the markers NANOG and OCT4 via qRT-PCR, relative to an iPSC control line and parental fibroblasts, demonstrating positive expression in the iPSC lines (Fig. 1B), and immunofluorescence staining for SOX2, OCT4A, NANOG, SSEA4, TRA-1–60 and TRA-1–81 (Fig. 1D). These iPSC lines have the capacity to differentiate into the three germ layers, as shown by immunostaining using two representative proteins per germ layer, i.e., PAX6 and Nestin for ectoderm, Actin and Brachyury for mesoderm, and FOXA2 and SOX17 for endoderm (Fig. 1E). Plasmids used for reprogramming were absent from the iPSC lines screened at passage 6/7 (Supplementary Fig. 1C). Free sialic acid levels are elevated in both FSASD iPSC lines (Supplementary Fig. 1D).
Table 1.
Summary of lines.
iPSC line | Sex | Age of patient at sample collection | Disease | Race/Ethnicity | SLC17A5 genotype1 (allele 1/allele 2) |
---|---|---|---|---|---|
| |||||
iPSC-1 | M | 4 years | Mild FSASD (Salla disease) | Caucasian/Finnish | c.115C > T; p. Arg39Cys/c.115C > T; p. Arg39Cys |
iPSC-2 | F | 16 months | Intermediate FSASD | Hispanic/Dominican | c.406A > G; p. Lys136Glu/c.533delC; p. Thr178Asnfs*34 |
Table 2.
Characterization and validation.
Classification | Test | Result | Data |
---|---|---|---|
| |||
Morphology | Photography (bright field) | Normal (20x images) | Fig. 1A |
Phenotype | Quantitative analysis (qRT-PCR) | Positive expression of NANOG and OCT4A markers | Fig. 1B |
Qualitative analysis (IF) | Expression of pluripotency markers: SOX2, OCT4A, NANOG, SSEA4, TRA-1–60, and TRA-1–81 | Fig. 1D | |
Genotype | Karyotype (DAPI banding) | Normal | Fig. 1C |
Differentiation potential | Trilineage formation | Ectoderm: PAX6, NES Mesoderm: ACTA2, TBXT Endoderm: FOXA2, SOX17 |
Fig. 1E |
Mutation analysis | Sanger sequencing | Genotyping correctly identified biallelic SLC17A5 (NM_012434) mutations in each cell line | Supplementary Fig. 1A |
Microbiology and virology | Mycoplasma | Negative | Supplementary Fig. 1B |
Transgene clearance | PCR | iPSC lines are negative for integration of plasmids | Supplementary Fig. 1C |
Free sialic acid quantification | Quantification of free sialic acid levels via UPLC-MS/MS | Elevated in both FSASD iPSC lines compared to control group | Supplementary Fig. 1D |
Identity | STR analysis | 15 loci tested, matched between parental and iPSC lines | Supplemental STR Table |
Donor screening | HIV 1 + 2 Hepatitis B, Hepatitis C |
N/A | N/A |
Genotype additional | Blood group genotyping | N/A | N/A |
info | HLA tissue typing | N/A | N/A |
Fig. 1.
Characterization of two FSASD iPSC lines (iPSC-1, iPSC-2).
3. Materials and methods
3.1. Generation and culturing of iPSC lines
Patient-derived fibroblasts were reprogrammed and clonally selected using episomal plasmids to induce ectopic expression of OCT4, SOX2, KLF4, L-MYC and Lin28 genes (ALSTEM, Inc.). Cells were passaged with Accutase (Stemcell Technologies, cat#07920) and plated on Matrigel (Corning, cat#354277)-coated plates in mTeSR™1 basal media (Stemcell Technologies, cat#85850) containing Y-27632 (Stemcell Technologies, cat#72302). The plates were incubated at 37 °C/5% CO2.
3.2. Expression of pluripotent markers
The expression of endogenous pluripotency markers was examined via qRT-PCR and indirect immunofluorescence (IF).
For qRT-PCR, total RNA was isolated from iPSCs (passage 6 for iPSC-1 and passage 7 for iPSC-2) using the RNeasy mini kit (Qiagen, cat#74106) and transcribed into cDNA (High-Capacity RNA-to-cDNA™ kit; Applied Biosystems, cat#4388950). qRT-PCR was performed using the Taqman Fast Advanced Master Mix (cat#4444557) and Taqman gene expression assays for NANOG (Hs02387400_g1), POU5F1/OCT4 (Hs04260367_gH), and GAPDH (Hs02786624_g1). Analyses were based on the delta Ct method with GAPDH as an internal control.
For the IF studies, iPSCs (passage 6) were fixed with 4% (v/v) paraformaldehyde (Electron Microscopy Sciences, cat#15710) for 10 min, permeabilized on ice with 0.1% Triton X-100 for 10 min, blocked for 1 hr at room temperature in a solution containing 1% (v/v) donkey serum (Equitech-Bio, cat#SD30), 0.1% (v/v) saponin and 0.075% (w/v) glycine, and incubated with primary antibodies (Table 3) overnight at 4°C in 0.1% (v/v) BSA and 0.1% (v/v) saponin solution. After PBS washes, cells were incubated with secondary antibodies (Table 3) for 1 hr at room temperature, washed and stained with 300nM DAPI (Invitrogen, cat#MP01306) for 5–10 min at room temperature. Confocal images were captured on a Zeiss LSM 880 microscope and Z-stack images were processed on ZEN2.1 SP3. The Z-stack images were collapsed (Extended Depth of Focus) with the ZEN2.3 system.
Table 3.
Details of reagents used in this study.
Antibodies used for immunocytochemistry | ||||
---|---|---|---|---|
Antibody | Dilution | Company Cat# | RRID | |
| ||||
Pluripotency markers (IF) | Rabbit anti- SOX2 | 1:200 | Cell Signaling, cat#3579 | AB_2195767 |
Rabbit anti-OCT4A | 1:200 | Cell Signaling, cat#2840 | AB_2167691 | |
Rabbit anti-NANOG | 1:200 | Cell Signaling, cat#4903 | AB_10559205 | |
Mouse anti-SSEA4 | 1:200 | Cell Signaling, cat#4755 | AB_1264259 | |
Mouse anti-TRA-1–60(S) | 1:200 | Cell Signaling, cat#4746 | AB_2119059 | |
Mouse anti-TRA-1–81 | 1:200 | Cell Signaling, cat#4745 | AB_2119060 | |
Differentiation markers (IF) | Rabbit anti-PAX6 | 1:100 | Biolegend, cat#901301 | AB_2565003 |
Mouse anti-Nestin (NES) | 1:250 | Stemcell Technologies, cat#60091 | AB_2650581 | |
Rabbit anti-α-smooth muscle actin (ACTA2) | 1:100 | Abcam, cat#ab5694 | AB_2223021 | |
Goat anti-Brachyury (TBXT) | 1:20 | R&D Systems, cat#AF2085 | AB_2200235 | |
Mouse anti-FOXA2 | 1:1000 | Novus Biologicals, cat#H00003170-M12 | AB_669213 | |
Goat anti-SOX17 | 1:20 | R&D Systems, cat#AF1924 | AB_355060 | |
Secondary antibodies (IF) | Donkey anti-Mouse IgG (H + L) Highly Cross-Adsorbed Secondary Antibody, Alexa Fluor 488 | 1:500 | Invitrogen, cat#A-21202 | AB_141607 |
Donkey anti-Rabbit IgG (H + L) Highly Cross-Adsorbed Secondary Antibody, Alexa Fluor 555 | 1:500 | Invitrogen, cat#A-31572 | AB_162543 | |
Donkey anti-Goat IgG (H + L) Cross-Adsorbed Secondary Antibody, Alexa Fluor 488 | 1:500 | Invitrogen, cat#A-11055 | AB_2534102 | |
Donkey anti-Mouse IgG (H + L) Highly Cross-Adsorbed Secondary Antibody, Alexa Fluor 555 | 1:500 | Invitrogen, cat#A-31570 | AB_2536180 | |
Primers | ||||
Target | Size of band | Forward/Reverse primer (5′−3′) | ||
Transgene clearance | OCT4 | 124 bp | CATTCAAACTGAGGTAAGGG/TAGCGTAAAAGGAGCAACATAG | |
KLF4 | 156 bp | CCACCTCGCCTTACACATGAAGA/TAGCGTAAAAGGAGCAACATAG | ||
SOX2 | 111 bp | TTCACATGTCCCAGCACTACCAGA/TTTGTTTGACAGGAGCGACAAT | ||
L-MYC | 122 bp | GGCTGAGAAGAGGATGGCTAC/TTTGTTTGACAGGAGCGACAAT | ||
Lin28 | 251 bp | AGCCATATGGTAGCCTCATGTCCGC/ | ||
TAGCGTAAAAGGAGCAACATAG | ||||
EBNA-1 | 130 bp | GGGTGATAACCATGGACGAGG/ACTTGGACGTTTTTGGGGTCT | ||
House-keeping gene (RT-PCR) | GAPDH | 127 bp | CTGAGCTCATTTCCTGGTATGA/CTTCCTCTTGTGCTCTTGCTG | |
Targeted mutation analysis of | 0c.115C > T; p.Arg39Cys | 510 bp | ATGGTGGCCAATGCCTATAA/CCAATCAGTTCCTGGGAAAA | |
SLC17A5 | 0c.406A > G; p.Lys136Glu | 572 bp | GTTTGCATGTTCTTCAGTCCAA/AATTTCGGGGTGCTCCTACT | |
0c.533delC; p.Thr178Asnfs*34 | 523 bp | TCCATGAATCTTTGGGGAGT/CAACATTGCATCGTTCTGGT |
3.3. Karyotyping
The iPSC lines were treated with KaryoMAX™ Colcemid™ Solution in PBS (ThermoFisher Scientific, cat#15212012) and fixed in Carnoy’s fixative (3:1, methanol: acetic acid) and cell spreads were prepared by dropping cell suspensions onto slides for DAPI banding analysis. 20 cells were analyzed for iPSC-1 and 25 cells were examined for iPSC-2.
3.4. Trilineage differentiation
STEMDiff™ Trilineage Differentiation Kit (Stemcell Technologies, cat#05230) was used per the manufacturer’s instructions and markers specified in Table 3 were detected using immunofluorescence.
3.5. Mutational analysis
Genomic DNA was extracted using the Wizard® Genomic DNA Purification Kit (Promega, cat#A1120), amplified as detailed (Table 3), and Sanger sequenced (Psomagen, Inc.). Analysis was performed using the Sequencer software (version 5.4.6).
3.6. Short tandem repeat profiling
Cell line identity of the parental fibroblast lines and corresponding iPSCs was verified using the PowerPlex® 16 multiplex STR system (Promega, cat#DC6531; service performed by Cell Line Genetics, Inc.). This kit detects fifteen STR loci (vWA, D8S1179, TPOX, FGA, D3S1358, TH01, D21S11, D18S51, Penta E, D5S818, D13S317, D7S820, D16S539, CSF1PO, Penta D) and a gender identification marker, Amelogenin.
3.7. Mycoplasma detection
The Universal Mycoplasma Detection Kit (ATCC, cat#30–1012K) was employed to detect mycoplasma according to the manufacturer’s procedures.
3.8. Transgene clearance
Total RNA was isolated (passage 6 for iPSC-1 and passage 7 for iPSC-2) and cDNA was transcribed as noted above in section 3.2. PCR was performed using a master mix including AmpliTaq™ DNA Polymerase with Buffer II (Applied Biosystems, cat#N8080153), premixed dNTP solution (Biosearch Technologies, cat#D59104), and primers to detect the episomal plasmids (see Table 3 for primer sequences); GAPDH was used as an internal control. The RF2002 plasmid DNA was used as a positive control.
3.9. Free sialic acid quantification
Free sialic acid levels in whole-cell lysates containing at least 1 × 106 cells were quantified as previously described (Harb et al., 2023).
Supplementary Material
Appendix A. Supplementary data
Supplementary data to this article can be found online at https://doi.org/10.1016/j.scr.2024.103600.
Acknowledgements
The authors would like to thank the FSASD patients for their contributions to this research. We also thank Carla Ciccone, Lynne Wolfe, Marla Sabaii, Jenny Serra-Vinardell, Maxwell Sandler, and Valerie Maduro (National Human Genome Research Institute, NHGRI) for their collegial assistance, and the NHGRI Technology Transfer Office for their assistance with ethical approvals. We also thank the Biobank Unit of the Finnish Institute for Health and Welfare, Helsinki, Finland, for providing a Salla patient fibroblast cell line. This study was supported by the Intramural Research Program of the National Human Genome Research Institute (NHGRI), National Institutes of Health (NIH), USA. The study was also partly funded by a donation from the Salla Treatment and Research Foundation (STAR), USA. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Footnotes
CRediT authorship contribution statement
Marya S. Sabir: Writing – original draft, Writing – review & editing, Investigation, Formal analysis, Visualization, Validation, Methodology. Petcharat Leoyklang: Writing – review & editing, Visualization, Validation, Methodology, Investigation, Formal analysis. Mary E. Hackbarth: Writing – review & editing, Resources, Investigation, Conceptualization. Evgenia Pak: Writing – review & editing, Resources, Investigation. Amalia Dutra: Writing – review & editing, Resources, Methodology, Investigation, Formal analysis. Richard Tait: Methodology, Validation, Writing – review & editing. Laura Pollard: Writing – review & editing, Methodology, Formal analysis. David R. Adams: Writing – review & editing, Resources. William A. Gahl: Writing – review & editing, Project administration, Funding acquisition. Marjan Huizing: Writing – review & editing, Writing – original draft, Resources. May Christine V. Malicdan: Writing – review & editing, Visualization, Supervision, Project administration, Methodology, Formal analysis, Data curation, Conceptualization.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
References
- Adams D, Wasserstein M Free Sialic Acid Storage Disorders. 2003 Jun 13 [Updated 2020 Jan 23]. In: Adam MP, Ardinger HH, Pagon RA, et al. , eds. GeneReviews. University of Washington, Seattle; 2003. In: Adam MP, Ardinger HH, Pagon RA, et al., editors. GeneReviews® [Internet]. Seattle (WA): University of Washington, Seattle; 1993–2022. Available from: https://www.ncbi.nlm.nih.gov/books/NBK1470/. [PubMed] [Google Scholar]
- Barmherzig R, Bullivant G, Cordeiro D, Sinasac DS, Blaser S, Mercimek-Mahmutoglu S, 2017. A new patient with intermediate severe salla disease with hypomyelination: a literature review for salla disease. Pediatr. Neurol 74, 87–91. 10.1016/j.pediatrneurol.2017.05.022. [DOI] [PubMed] [Google Scholar]
- Harb JF, Christensen CL, Kan S-H, Rha AK, Andrade-Heckman P, Pollard L, Steet R, Huang JY, Wang RY, 2023. Base editing corrects the common Salla disease c.115C>T variant. Mol. Ther. Nucleic Acids 34, 102022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huizing M, Hackbarth ME, Adams DR, Wasserstein M, Patterson MC, Walkley SU, Gahl WA, 2021. FSASD consortium Free sialic acid storage disorder: Progress and promise. Neurosci. Lett 755, 135896. 10.1016/j.neulet.2021.135896. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Verheijen FW, Verbeek E, Aula N, Beerens CE, Havelaar AC, Joosse M, Peltonen L, Aula P, Galjaard H, van der Spek PJ, Mancini GM, 1999. A new gene, encoding an anion transporter, is mutated in sialic acid storage diseases. Nat. Genet 23, 462–465. 10.1038/70585. [DOI] [PubMed] [Google Scholar]
- Zielonka M, Garbade SF, Kolker S, Hoffmann GF, Ries M, 2019. A cross-sectional quantitative analysis of the natural history of free sialic acid storage disease-an ultra-orphan multisystemic lysosomal storage disorder. Genet. Med 21, 347–352. 10.1038/s41436-018-0051-3. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.