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Experimental approaches to assess melanocytes mosaicism in segmental vitiligo Study conducted at the Pontifícia Universidade Católica do Paraná, Curitiba, PR, Brazil

Abstract

Vitiligo is an autoimmune disease of the skin that results in localized or disseminated white macules. One common feature of several existing classification protocols is the distribution of the disease into two main subtypes, non-segmental vitiligo (NSV) and segmental vitiligo (SV). SV is characterized by depigmentation spreading within one or more skin segments while NSV is widespread. Several clinical-epidemiological observations suggest that SV has distinct autoimmune pathophysiology compared to NSV. Furthermore, the clinical distribution pattern of SV lesions closely resembles other melanocyte mosaicism diseases. These observations led us to hypothesize that SV is caused by a localized autoimmune reaction targeting epidermal mosaicism melanocytes. Here, we proposed examples of experimental approaches to assess mosaicism in SV patients.

KEYWORDS
Genetics; Mosaicism; Vitiligo

Introduction

According to an international consensus, vitiligo is classified into three main groups: Segmental (SV), Non-Segmental (NSV), and mixed vitiligo (coexistence of SV and NSV).11 Ezzedine K, Lim HW, Suzuki T, Katayama I, Hamzavi I, Lan CCE, et al. Revised classification/nomenclature of vitiligo and related issues: the Vitiligo Global Issues Consensus Conference. Pigment Cell & Melanoma Research. 2012;25:E1-13. The consensus describes SV as a depigmentation spreading within a segment, uni-, bi-, or pluri-segmental, however, this distribution can occasionally be bilateral.11 Ezzedine K, Lim HW, Suzuki T, Katayama I, Hamzavi I, Lan CCE, et al. Revised classification/nomenclature of vitiligo and related issues: the Vitiligo Global Issues Consensus Conference. Pigment Cell & Melanoma Research. 2012;25:E1-13.,22 Correia LD, Castro CCS. Association between bilateral segmental vitiligo and lichen striatus: an expression of mosaicism? Int J Dermatol. 2018;57:992-3. The segmental distribution pattern is not the only difference between SV and NSV (Table 1). The median age of SV onset is 16 years, on average 8 to 10 years earlier than the median age of NSV onset.33 Castro CCS, Nascimento LM, Olandoski M, Mira MT. A pattern of association between clinical form of vitiligo and disease-related variables in a Brazilian population. J Dermatol Sci. 2012;65:63-7.,44 Jin Y Roberts GHL, Ferrara TM, Ben S, van Geel N, Wolkerstorfer A, et al. Early-onset autoimmune vitiligo associated with an enhancer variant haplotype that upregulates class II HLA expression. Nat Commun. 2019;10:391.,55 Hann SK, Lee HJ. Segmental vitiligo: clinical findings in 208 patients. J Am Acad Dermatol. 1996;35:671-4. Additionally, depigmentation in SV typically has a rapid progression with a limited-time course between 6 to 24 months, rarely extending after this period, while NSV is chronic with an uncertain lifelong time course.11 Ezzedine K, Lim HW, Suzuki T, Katayama I, Hamzavi I, Lan CCE, et al. Revised classification/nomenclature of vitiligo and related issues: the Vitiligo Global Issues Consensus Conference. Pigment Cell & Melanoma Research. 2012;25:E1-13.,66 Ezzedine K, Eleftheriadou V, Whitton M, van Geel N. Vitiligo. Lancet. 2015;386:74-84. In contrast to NSV, SV presents early involvement of hair follicles melanocytes, with up to 50% of SV patients exhibiting poliosis in the affected area.11 Ezzedine K, Lim HW, Suzuki T, Katayama I, Hamzavi I, Lan CCE, et al. Revised classification/nomenclature of vitiligo and related issues: the Vitiligo Global Issues Consensus Conference. Pigment Cell & Melanoma Research. 2012;25:E1-13. The prevalence of concomitant autoimmune disorders (e.g., thyroiditis) is lower in SV.33 Castro CCS, Nascimento LM, Olandoski M, Mira MT. A pattern of association between clinical form of vitiligo and disease-related variables in a Brazilian population. J Dermatol Sci. 2012;65:63-7.,77 Gill L, Zarbo A, Isedeh P, Jacobsen G, Lim HW, Hamzavi I. Comorbid autoimmune diseases in patients with vitiligo: A crosssectional study. J Am Acad Dermatol. 2016;74:295-302. SV and NSV also differ regarding response to treatment: in general, SV patients have a poor response to phototherapy compared to NSV, possibly due to earlier depletion of follicular reservoir in the former.88 Anbar TS, Westerhof W, Abdel-Rahman AT, El-Khayyat MA. Evaluation of the effects of NB-UVB in both segmental and non-segmental vitiligo affecting different body sites. Photodermatol Photoimmunol Photomed. 2006;22:157-63.,99 Cheng YP, Chiu HY, JeeSH, TsaiTF. Excimer light photototherapy of segmental and non-segmental vitiligo: experience in Taiwan. Photodermatol Photoimmunol Photomed. 2012;28:6-11. Conversely, SV patients have an excellent and long-term response to surgical interventions such as melanocyte-keratinocyte transplant.1010 Silpa-Archa N, Griffth JL, Huggins RH, Henderson MD, Kerr HA, Jacobsen G, et al. Long-term follow-up of patients undergoing autologous noncultured melanocyte-keratinocyte transplantation for vitiligo and other leukodermas. J Am Acad Dermatol. 2017;77:318-27.,1111 Altalhab S, AlJasser MI, Mulekar SV, Issa AA, Mulekar S, Diaz J, et al. Six-year follow-up of vitiligo patients successfully treated with autologous non-cultured melanocyte-keratinocyte transplantation. J Eur Acad Dermatol Venereol. 2019;33:1172-6. The long-term success of transplant therapy in SV suggests a confined defect of melanocyte-keratinocyte metabolism.1010 Silpa-Archa N, Griffth JL, Huggins RH, Henderson MD, Kerr HA, Jacobsen G, et al. Long-term follow-up of patients undergoing autologous noncultured melanocyte-keratinocyte transplantation for vitiligo and other leukodermas. J Am Acad Dermatol. 2017;77:318-27.

Table 1
Characteristics of segmental and non-segmental vitiligo.

Reports suggest differences in the biological mechanisms underlying the pathogenesis of SV as compared to NSV. For example, serum levels of TWEAK (Tumor Necrosis Factorlike Weak inducer of Apoptosis) were significantly higher in SV compared to NSV patients.1212 El-Taweel AEAI, Abdelrahman AMN, Sabry S, Salem RM. Serum TWEAK: A cutoff between segmental and nonsegmental vitiligo. J Cosmet Dermatol. 2021;20:1017-21. Moreover, TWEAK was shown as a biomarker with 100% sensitivity and 80.1% specificity in differentiating SV from NSV1212 El-Taweel AEAI, Abdelrahman AMN, Sabry S, Salem RM. Serum TWEAK: A cutoff between segmental and nonsegmental vitiligo. J Cosmet Dermatol. 2021;20:1017-21. In contrast to NSV, systemic oxidative stress has a weak and limited contribution to SV pathogenesis.1313 Li B, Yi X, Zhuang T Zhang S, Li S, Yang Y, et al. RIP1-Mediated Necroptosis Facilitates Oxidative StressInduced Melanocyte Death, Offering Insight into Vitiligo. J Invest Dermatol. 2021;141:2921-31.,1414 Schallreuter KU, Salem MAEL, Holtz S, Panske A. Basic evidence for epidermal H2O2/ONOO(-) - mediated oxidation/nitration in segmental vitiligo is supported by repigmentation of skin and eyelashes after reduction of epidermal H2O2 with topical NB-UVB-activated pseudocatalase PC-KUS. FASEB J. 2013;27:3113-22. In SV, a significant increase of stress-induced markers (e.g., mitochondrial, HSP70 and CXCL16) was observed only in perilesional skin suggesting a localized pathogenic mechanism promoting depigmentation. Immunophenotypic analysis of circulating immune cells of SV patients identified unaltered regulatory T-cells (Tregs) compared to healthy controls while NSV patients had decreased levels of Tregs.1515 Willemsen M, Post NF, van Uden NOP, Narayan VS, Chielie S, Kemp EH, et al. Immunophenotypic analysis reveals differences in circulating immune cells in peripheral blood of segmental and non-segmental vitiligo patients. J Invest Dermatol. 2022;142, 876-83.e3. Collectively, multiple pieces of evidence indicate unaltered systemic immunity in SV patients and point to a localized cytotoxic reaction targeting epidermal melanocytes.1515 Willemsen M, Post NF, van Uden NOP, Narayan VS, Chielie S, Kemp EH, et al. Immunophenotypic analysis reveals differences in circulating immune cells in peripheral blood of segmental and non-segmental vitiligo patients. J Invest Dermatol. 2022;142, 876-83.e3. Taken together, these differences and the remarkable similarity of SV distribution pattern to mosaic melanocyte diseases (as segmental lentiginose and verrucous epidermal nevus) led us to hypothesize the involvement of somatic mosaicism in SV pathogenesis.1616 Taïeb A, Morice-Picard F Jouary T, Ezzedine K, Cario-André M, Gauthier Y. Segmental vitiligo as the possible expression of cutaneous somatic mosaicism: implications for common non-segmental vitiligo. Pigment Cell & Melanoma Research. 2008;21:646-52.,1717 van Geel N, Speeckaert R, Melsens E, Toelle SP, Speeckaert M, De Schepper S, et al. The distribution pattern of segmental vitiligo: clues for somatic mosaicism. Br J Dermatol. 2013;168:56-64.

How to test the hypothesis

Mosaicism designates individuals encompassing at least two cell populations derived from a single zygote but with distinct genotype or epigenetic profiles.1818 Martinez-Glez V, Tenorio J, Nevado J, Gordo G, Rodríguez-Laguna L, Feito M, et al. A six-attribute classification of genetic mosaicism. Genet Med. 2020;22:1743-57. The phenotypic presentation of a disease caused by genetic mosaicism is conditional to the type of variation and phase of development that a somatic mutation that occurred.1919 Biesecker LG, Spinner NB. A genomic view of mosaicism and human disease. Nat Rev Genet. 2013;14:307-20.

Variants leading to genetic mosaicism range from chromosomal duplications, segment translocations, copy number variation (CNV), single-nucleotide variants (SNV), or epigenetic changes such as transcriptomic alterations caused by retrotransposition insertions. The embryonic phase and cell differentiation status where a de novo mutation or retrotransposition occurred delineates the extent of tissues/cells involved in the mosaicism. The hypothesis to be tested suggest that genetic mosaicism in SV occurred at some point during skin/melanocyte differentiation. Different approaches can be applied to test the mosaicism hypothesis in SV, each aiming to detect a distinct type of mosaicism. Here we proposed examples by adapting designs applied to study the host response to infections, detect somatic mutations in cancers and evaluate embryonic development.2020 Starostik MR, Sosina OA, McCoy RC. Single-cell analysis of human embryos reveals diverse patterns of aneuploidy and mosaicism. Genome Res. 2020;30:814-25.,2121 Luquette LJ, Bohrson CL, Sherman MA, Park PJ. Identification of somatic mutations in single cell DNA-seq using a spatial model of allelic imbalance. Nat Commum. 2019;10:3908.,2222 Laks E, McPherson A, Zahn H, Lai D, Steif A, Brimhall J, et al. Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing. Cell. 2019;179, 1207-21.e22.,2323 Fava VM, Bourgey M, Nawarathna PM, Orlova M, Cassart P, Vinh DC, et al. A system biology approach identifies candidate drugs to reduce mortality in severely ill patients with COVID-19. Sci Adv. 2022;8:eabm2510.

Paired contrast of perilesional skin and contralateral healthy skin in SV

The detection of mosaicism in human diseases can be challenging as the number of mosaic cells within the targeted tissue might be small. In addition, mosaic melanocytes would likely be absent inside existing SV lesions as a loss of melanocytes is the cause of vitiligo. Therefore, high-resolution methods at the single-cell level may be required to detect underrepresented cell populations.2424 Gellatly KJ, Strassner JP, Essien K, Refat MA, Murphy RL, Coffin-Schmitt A, et al. scRNA-seq of human vitiligo reveals complex networks of subclinical immune activation and a role for CCR5 in Treg function. Sci Transl Med. 2021;13, eabd8995. To detect potential mosaic cells, evaluating tissue obtained from hypochromic skin regions from individuals at the earliest stage of SV would be required (Fig. 1A). An advantage of studying the mosaicism hypothesis in SV is the possibility to use internal controls since SV is usually constrained to a unilateral segment: if the de novo mutation occurred during skin differentiation in one segment, a contralateral healthy skin could be used to establish the melanocyte’s ‘‘normal’’ profile (Fig. 1A). This strategy would allow controlling for confounding effects caused by interindividual variability when combining multiple SV cases.2525 Correa-Macedo W, Fava VM, Orlova M, Cassart P, Olivenstein R, Sanz J, et al. Alveolar macrophages from persons living with HIV show impaired epigenetic response to Mycobacterium tuberculosis. J Clin Invest. 2021;131:e148013.

Figure 1
Experimental design to test the mosaicism hypothesis in segmental vitiligo. (A) Depiction of a segmental vitiligo patient. Hypochromic areas highlighted with a full red circle would be evaluated for the presence of mosaic melanocytes. A contralateral skin sample marked with a dotted circle would be used as an internal control. (B) Skin composition for contralateral and hypochromic skin. The hypochromic skin includes residual mosaic melanocytes. (C) Subepidermal suction blister technique of normal and affected skin. The trypsinization of the blister’s roof allows the detachment of keratinocytes and melanocytes that can be together with immune infiltrated cells used in the single-cell experiments. (D) Single-cell barcoding. The pool containing cell suspension for normal and affected skin would be loaded to the single-cell channel. Individual cells would be incorporated into oil droplets and marked with unique barcoded beads, which would allow the application of different sets of single-cell approaches including scWGS, scRNA, and scATAC. (E) Cell clustering using omics data. Clustering analysis would group cells sharing similar states and identify mosaic melanocytes as well as other cell types included in the blister extract.

Target tissue preparation

Melanocytes account for ~2.8% of the cell population in the epidermis and approximately 1200 melanocytes exist per mm22 Correia LD, Castro CCS. Association between bilateral segmental vitiligo and lichen striatus: an expression of mosaicism? Int J Dermatol. 2018;57:992-3. of the skin independently of an individual ethnicity (Fig. 1B).2626 Cichorek M, Wachulska M, Stasiewicz A, Tyminska A. Skin melanocytes: biology and development. Postepy Dermatol Alergol. 2013;30:30-41. To capture a representative number of viable mosaic melanocytes for the single-cell analysis, hypochromic areas of early-onset active SV would need to be determined using Wood’s lamp. Keratinocyte-melanocyte sampling of these areas could be performed with a suction blister epidermal grafting technique with subsequent trypsinization of the blister’s roof to detach the cells into a suspension (Fig. 1C).2727 Tovar-Garza A, Hinojosa JA, Hynan LS, Pandya AG. Noncultured epidermal suspension grafting using suction blisters as donor tissue for vitiligo. J Am Acad Dermatol. 2019;80:1152-4. An advantage of collecting epidermis by using the suction blister is the widening of the

sampled area, which increases the likelihood of capturing remaining viable mosaic melanocytes while being nearly a scarless technique, which facilitates patient inclusion.2828 Dellatorre G, Bertolini W, Castro CCS. Optimizing suction blister epidermal graft technique in the surgical treatment of vitiligo. An Bras Dermatol. 2017;92:888-90. To evaluate follicular melanoblasts not captured by the blister method, a punch technique could also be used. A punch biopsy is more invasive than blistering and the overall proportion of melanoblasts captured would be small. However, methodological refinements of single cell analy-

sis could allow in a near future the study of smaller cell populations.

Identifying mosaic cells in segmental vitiligo via genetic and epigenetic variations

To evaluate the presence of mosaic melanocytes, fluorescence-activated cell sorting selection could be used to separate the melanocyte fraction of blister extracts or melanoblasts from punch biopsies. Next, whole genome sequencing (WGS) would be performed using DNA extracted from melanocytes from hypochromic and contralateral skin from the same individuals. Variants detected in contralateral tissues would be used to exclude germline variants. Algorithms designed to detect tumor cells, such as MuTect2,2929 Benjamin D, Sato T, Cibulskis K, Getz G, Stewart C, Linchtenstein L. Calling Somatic SNVs and Indels with Mutect2. bioRxiv. 2019:1-8. or specific for mosaic cells, such as MosaicForecast3030 Dou Y, Kwon M, Rodin RE, Cortés-Ciriano I, Doan R, Luquette LJ, et al. Accurate detection of mosaic variants in sequencing data without matched controls. Nature biotechnology. 2020;38:314-9. and DeepMosaic,3131 Yang X, Xu X, Breuss MW, Antaki D, Ball LL, Chung C, et al. Deep-Mosaic: Control-independent mosaic single nucleotide variant detection using deep convolutional neural networks. bioRxiv. 2021:1-38. could be used to detect somatic mutations. The limitation of the bulk approach is the inability to separate mosaic cells from regular melanocytes and evaluate their interaction with other cells. Addressing this limitation would require single-cell (sc) sequencing technologies evaluating either the transcriptomic, epigenetic, or DNA sequence profile of individual cells (Fig. 1D).3232 Perkel JM. Single-cell analysis enters the multiomics age. Nature. 2021;595:614-6. scWGS allows the evaluation of structural variation, CNVs, and SNVs in individual cells. A high throughput scWGS method developed to detect subclonal mutations in cancer could be used to test the hypothesis of melanocyte mosaicism.2222 Laks E, McPherson A, Zahn H, Lai D, Steif A, Brimhall J, et al. Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing. Cell. 2019;179, 1207-21.e22. In SV, mosaic cells would share a state (i.e., specific genetic variants) that could be used to merge cells in clusters and define the proportion and the type of genetic variants present in mosaic cells (Fig. 1E).3333 Stuart T, Butler A, Hoffman P, Hafemeister C, Papalexi E, Mauck WM 3rd, et al. Comprehensive Integration of Single-Cell Data. Cell. 2019;177, 1888-1902.e21. Epigenetic mosaicism in SV could be tested by using a multi-omics approach with transcriptomic (scRNA) and chromatin accessibility (scATAC) measures. Multi-omics approaches are currently being used to study a diverse set of diseases.3434 Hasin Y, Seldin M, Lusis A. Multi-omics approaches to disease. Genome Biol. 2017;18:83. Analyses of scRNA and scATAC could be used to identify mosaic cells via transcriptomic and epigenomic similarities with tools such as Seurat,3535 Hao Y, Hao S, Andersen-N E, Mauck WM 3rd, Zheng S, Butler A, et al. Integrated analysis of multimodal single-cell data. Cell. 2021;184:3573-87. Monocle,3636 Cao J, Spielmann M, Qiu X, Huang X, Ibrahim DM, Hill AJ, et al. The single-cell transcriptional landscape of mammalian organogenesis. Nature. 2019;566:496-502. and Cicero.3737 Pliner HA, Packer JS, McFaline-Figueroa JL, Cusanovich DA, Daza RM, Aghamirzaie D, et al. Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data. Mol Cell. 2018;71, 858-71.e8. A similar scRNA approach applied to study human embryos was able to successfully detect mosaicism.2020 Starostik MR, Sosina OA, McCoy RC. Single-cell analysis of human embryos reveals diverse patterns of aneuploidy and mosaicism. Genome Res. 2020;30:814-25. An advantage of the single cell compared to bulk approaches is the ability to study the relationship between cells present in the blister extract or punch biopsies. In fact, scRNA study of blistering extracts has shown the recovery of melanocytes from NSV lesions.2424 Gellatly KJ, Strassner JP, Essien K, Refat MA, Murphy RL, Coffin-Schmitt A, et al. scRNA-seq of human vitiligo reveals complex networks of subclinical immune activation and a role for CCR5 in Treg function. Sci Transl Med. 2021;13, eabd8995. Applying a single-cell approach to study SV could test the mosaicism hypothesis while assessing the local immune profile as shown for NSV.2424 Gellatly KJ, Strassner JP, Essien K, Refat MA, Murphy RL, Coffin-Schmitt A, et al. scRNA-seq of human vitiligo reveals complex networks of subclinical immune activation and a role for CCR5 in Treg function. Sci Transl Med. 2021;13, eabd8995.

  • Financial support
    None declared.
  • Study conducted at the Pontifícia Universidade Católica do Paraná, Curitiba, PR, Brazil

References

  • 1
    Ezzedine K, Lim HW, Suzuki T, Katayama I, Hamzavi I, Lan CCE, et al. Revised classification/nomenclature of vitiligo and related issues: the Vitiligo Global Issues Consensus Conference. Pigment Cell & Melanoma Research. 2012;25:E1-13.
  • 2
    Correia LD, Castro CCS. Association between bilateral segmental vitiligo and lichen striatus: an expression of mosaicism? Int J Dermatol. 2018;57:992-3.
  • 3
    Castro CCS, Nascimento LM, Olandoski M, Mira MT. A pattern of association between clinical form of vitiligo and disease-related variables in a Brazilian population. J Dermatol Sci. 2012;65:63-7.
  • 4
    Jin Y Roberts GHL, Ferrara TM, Ben S, van Geel N, Wolkerstorfer A, et al. Early-onset autoimmune vitiligo associated with an enhancer variant haplotype that upregulates class II HLA expression. Nat Commun. 2019;10:391.
  • 5
    Hann SK, Lee HJ. Segmental vitiligo: clinical findings in 208 patients. J Am Acad Dermatol. 1996;35:671-4.
  • 6
    Ezzedine K, Eleftheriadou V, Whitton M, van Geel N. Vitiligo. Lancet. 2015;386:74-84.
  • 7
    Gill L, Zarbo A, Isedeh P, Jacobsen G, Lim HW, Hamzavi I. Comorbid autoimmune diseases in patients with vitiligo: A crosssectional study. J Am Acad Dermatol. 2016;74:295-302.
  • 8
    Anbar TS, Westerhof W, Abdel-Rahman AT, El-Khayyat MA. Evaluation of the effects of NB-UVB in both segmental and non-segmental vitiligo affecting different body sites. Photodermatol Photoimmunol Photomed. 2006;22:157-63.
  • 9
    Cheng YP, Chiu HY, JeeSH, TsaiTF. Excimer light photototherapy of segmental and non-segmental vitiligo: experience in Taiwan. Photodermatol Photoimmunol Photomed. 2012;28:6-11.
  • 10
    Silpa-Archa N, Griffth JL, Huggins RH, Henderson MD, Kerr HA, Jacobsen G, et al. Long-term follow-up of patients undergoing autologous noncultured melanocyte-keratinocyte transplantation for vitiligo and other leukodermas. J Am Acad Dermatol. 2017;77:318-27.
  • 11
    Altalhab S, AlJasser MI, Mulekar SV, Issa AA, Mulekar S, Diaz J, et al. Six-year follow-up of vitiligo patients successfully treated with autologous non-cultured melanocyte-keratinocyte transplantation. J Eur Acad Dermatol Venereol. 2019;33:1172-6.
  • 12
    El-Taweel AEAI, Abdelrahman AMN, Sabry S, Salem RM. Serum TWEAK: A cutoff between segmental and nonsegmental vitiligo. J Cosmet Dermatol. 2021;20:1017-21.
  • 13
    Li B, Yi X, Zhuang T Zhang S, Li S, Yang Y, et al. RIP1-Mediated Necroptosis Facilitates Oxidative StressInduced Melanocyte Death, Offering Insight into Vitiligo. J Invest Dermatol. 2021;141:2921-31.
  • 14
    Schallreuter KU, Salem MAEL, Holtz S, Panske A. Basic evidence for epidermal H2O2/ONOO(-) - mediated oxidation/nitration in segmental vitiligo is supported by repigmentation of skin and eyelashes after reduction of epidermal H2O2 with topical NB-UVB-activated pseudocatalase PC-KUS. FASEB J. 2013;27:3113-22.
  • 15
    Willemsen M, Post NF, van Uden NOP, Narayan VS, Chielie S, Kemp EH, et al. Immunophenotypic analysis reveals differences in circulating immune cells in peripheral blood of segmental and non-segmental vitiligo patients. J Invest Dermatol. 2022;142, 876-83.e3.
  • 16
    Taïeb A, Morice-Picard F Jouary T, Ezzedine K, Cario-André M, Gauthier Y. Segmental vitiligo as the possible expression of cutaneous somatic mosaicism: implications for common non-segmental vitiligo. Pigment Cell & Melanoma Research. 2008;21:646-52.
  • 17
    van Geel N, Speeckaert R, Melsens E, Toelle SP, Speeckaert M, De Schepper S, et al. The distribution pattern of segmental vitiligo: clues for somatic mosaicism. Br J Dermatol. 2013;168:56-64.
  • 18
    Martinez-Glez V, Tenorio J, Nevado J, Gordo G, Rodríguez-Laguna L, Feito M, et al. A six-attribute classification of genetic mosaicism. Genet Med. 2020;22:1743-57.
  • 19
    Biesecker LG, Spinner NB. A genomic view of mosaicism and human disease. Nat Rev Genet. 2013;14:307-20.
  • 20
    Starostik MR, Sosina OA, McCoy RC. Single-cell analysis of human embryos reveals diverse patterns of aneuploidy and mosaicism. Genome Res. 2020;30:814-25.
  • 21
    Luquette LJ, Bohrson CL, Sherman MA, Park PJ. Identification of somatic mutations in single cell DNA-seq using a spatial model of allelic imbalance. Nat Commum. 2019;10:3908.
  • 22
    Laks E, McPherson A, Zahn H, Lai D, Steif A, Brimhall J, et al. Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing. Cell. 2019;179, 1207-21.e22.
  • 23
    Fava VM, Bourgey M, Nawarathna PM, Orlova M, Cassart P, Vinh DC, et al. A system biology approach identifies candidate drugs to reduce mortality in severely ill patients with COVID-19. Sci Adv. 2022;8:eabm2510.
  • 24
    Gellatly KJ, Strassner JP, Essien K, Refat MA, Murphy RL, Coffin-Schmitt A, et al. scRNA-seq of human vitiligo reveals complex networks of subclinical immune activation and a role for CCR5 in Treg function. Sci Transl Med. 2021;13, eabd8995.
  • 25
    Correa-Macedo W, Fava VM, Orlova M, Cassart P, Olivenstein R, Sanz J, et al. Alveolar macrophages from persons living with HIV show impaired epigenetic response to Mycobacterium tuberculosis. J Clin Invest. 2021;131:e148013.
  • 26
    Cichorek M, Wachulska M, Stasiewicz A, Tyminska A. Skin melanocytes: biology and development. Postepy Dermatol Alergol. 2013;30:30-41.
  • 27
    Tovar-Garza A, Hinojosa JA, Hynan LS, Pandya AG. Noncultured epidermal suspension grafting using suction blisters as donor tissue for vitiligo. J Am Acad Dermatol. 2019;80:1152-4.
  • 28
    Dellatorre G, Bertolini W, Castro CCS. Optimizing suction blister epidermal graft technique in the surgical treatment of vitiligo. An Bras Dermatol. 2017;92:888-90.
  • 29
    Benjamin D, Sato T, Cibulskis K, Getz G, Stewart C, Linchtenstein L. Calling Somatic SNVs and Indels with Mutect2. bioRxiv. 2019:1-8.
  • 30
    Dou Y, Kwon M, Rodin RE, Cortés-Ciriano I, Doan R, Luquette LJ, et al. Accurate detection of mosaic variants in sequencing data without matched controls. Nature biotechnology. 2020;38:314-9.
  • 31
    Yang X, Xu X, Breuss MW, Antaki D, Ball LL, Chung C, et al. Deep-Mosaic: Control-independent mosaic single nucleotide variant detection using deep convolutional neural networks. bioRxiv. 2021:1-38.
  • 32
    Perkel JM. Single-cell analysis enters the multiomics age. Nature. 2021;595:614-6.
  • 33
    Stuart T, Butler A, Hoffman P, Hafemeister C, Papalexi E, Mauck WM 3rd, et al. Comprehensive Integration of Single-Cell Data. Cell. 2019;177, 1888-1902.e21.
  • 34
    Hasin Y, Seldin M, Lusis A. Multi-omics approaches to disease. Genome Biol. 2017;18:83.
  • 35
    Hao Y, Hao S, Andersen-N E, Mauck WM 3rd, Zheng S, Butler A, et al. Integrated analysis of multimodal single-cell data. Cell. 2021;184:3573-87.
  • 36
    Cao J, Spielmann M, Qiu X, Huang X, Ibrahim DM, Hill AJ, et al. The single-cell transcriptional landscape of mammalian organogenesis. Nature. 2019;566:496-502.
  • 37
    Pliner HA, Packer JS, McFaline-Figueroa JL, Cusanovich DA, Daza RM, Aghamirzaie D, et al. Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data. Mol Cell. 2018;71, 858-71.e8.

Publication Dates

  • Publication in this collection
    07 Apr 2023
  • Date of issue
    Mar-Apr 2023

History

  • Received
    16 Mar 2022
  • Accepted
    26 May 2022
  • Published
    16 Dec 2022
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