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Dental Stem Cells in Regenerative Medicine: Emerging Trends and Prospects in the Era of Bioinformatics

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Abstract

The craniofacial skeleton comprising the teeth, gums and tongue is an excellent model of organogenesis. Mesenchymal stem cells (MSCs) present within various zones of the oro-dental tissue exhibit exceptional regeneration potential and contribute to tissue restoration and regeneration following infection/inflammation or trauma. Oro-dental disorders are multifactorial and encompass a wide array of diseases involving tooth germ formation, tooth shape, number, size and alignment. Oral microbial pathogens and their colonization as biofilm largely remain a threat to oral and dental health. Biofilms are associated with dental caries, periodontitis and peri-implantitis which often leads to oral disorders, tissue loss and dental implant failures. Scientific advancements have led to the identification of newer nanomaterials which can resist biofilms. Parallelly, isolation and differentiation of MSCs from within the dental structures and its adnexa offer great promise for dental restoration/regeneration. Robust screening systems are available today and provide an opportunity to screen pathogen susceptibility, properties of nanomaterials, stem cell plasticity, and gene, protein and cellular interactions. High-throughput technologies and availability of vast information from transcriptomics, epigenetics, genomics, proteomics and metabolomics studies will enable in-depth understanding of the oro-dental disorders as well as the regenerative/differentiation potential of the dental stem cells. Insights from HTS will pave way for successful utilization and effective clinical translation of the dental stem cells and bring about a paradigm shift in the field of tissue engineering and regenerative medicine applications in relation to dentistry.

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Abbreviations

APC:

Adenomatous polyposis coli

ATP:

Adenosine triphosphate

BLAST:

Basic local alignment search tool

CCAP:

Cancer Chromosome Aberration Project

CGAP:

Cancer Genome Anatomy Project

cGMP:

Current Good Manufacturing Practice

COMS:

Complementary metal oxide semiconductor

CT:

Computed tomography

DAVID:

Database for annotation, visualization and integrated discovery

DNA:

Deoxyribonucleic acid

dNTPs:

Deoxyribonucleotide triphosphates

DPSCs:

Dental pulp stem cells

EBI:

European Bioinformatics Institute

EMBL:

European molecular biology laboratory

ESCs:

Embryonic stem cells

G-CSF:

Granulocyte colony-stimulating factor

GEO:

Gene expression omnibus

GO:

Gene ontology

HCS:

High-content screening

HGBASE:

Human genic biallelic sequences

HGP:

Human Genome Project

HTS:

High-throughput screening

IKB:

Immunome knowledge base

iPSCs:

Induced pluripotent stem cells

KEGG:

Kyoto Encyclopedia of Genes and Genomes

miRNA:

MicroRNA

MRI:

Magnetic resonance imaging

MSCs:

Mesenchymal stem cells

MSD:

Macromolecular structure database

NCBI:

National Center for Biotechnology Information

NIH:

National Institutes of Health

NM:

Nanomaterial

OMIM:

Online Mendelian inheritance in man

ORF Finder:

Open reading frame finder

PCR:

Polymerase chain reaction

PDLSCs:

Periodontal ligament stem cells

RefSeq:

Reference sequence

RNA:

Ribonucleic acid

SAGE:

Serial analysis of gene expression

SCAP:

Stem cells from apical papilla

SGSCs:

Salivary gland stem cells

SMRT:

Single-molecule real time

SMS:

Single-molecule sequencing

SNP:

Single-nucleotide polymorphisms

SOLiD:

Sequencing oligonucleotides by ligation and detection

UniProt:

Universal Protein resource

UniRef:

UniProt Reference

ZMW:

Zero-mode waveguides

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Acknowledgements

The authors acknowledge the grant (13-MED2437-03) funding provided by the National Plan for Science, Technology and Innovation (MAARIFAH), King Abdulaziz City for Science and Technology, The Kingdom of Saudi Arabia. They also acknowledge with thanks the Science and Technology Unit (STU), King Abdulaziz University for their excellent technical support.

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All authors have no conflicts of interests.

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Ramaswamy, S., Marusamy, K.O., Kalamegam, G. (2019). Dental Stem Cells in Regenerative Medicine: Emerging Trends and Prospects in the Era of Bioinformatics. In: Shaik, N., Hakeem, K., Banaganapalli, B., Elango, R. (eds) Essentials of Bioinformatics, Volume II. Springer, Cham. https://doi.org/10.1007/978-3-030-18375-2_8

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