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. Author manuscript; available in PMC: 2023 Oct 19.
Published in final edited form as: Nat Biomed Eng. 2023 Jan 12;7(4):370–386. doi: 10.1038/s41551-022-00987-y

Table 4. Common techniques for the genomic assessment of stem-cell-derived tissues.

Technique Sensitivity Advantages Limitations
Cytogenetics
GTG banding215 Can detect numerical and structural karyotype aberrations >5Mb
  • Relatively cost-effective.
  • Capable of detecting most prevalent karyotype aberrations.
  • Can detect both numeric and structural alterations.
  • Low resolution (larger than 5Mb).
  • Only mitotic cells can be assessed.
  • Not sensitive enough to detect mosaicism if prevalence is less than 6-10%.
  • Labour-intensive
Fluorescent in situ hybridization216 Can detect numerical and structural karyotype aberrations >1-2Mb
  • Applicable for analysis of mitotic and non-mitotic samples.
  • Higher resolution (1-2Mb) than alternative cytogenetic techniques.
  • Low specificity for rare, small or complex chromosomal rearrangements.
  • Can only detect aberrations in regions complementary of the probe used.
  • Labour intensive and expensive.
Nucleic-acid-based techniques
RT-PCR217 High sensitivity and specificity for the targeted detection of genetic abnormalities
  • Highly sensitive and specific.
  • High-throughput
Only targeted abnormalities can be detected.
Next-generation sequencing
Whole-exome Sequencing218 Defines the genome of exonic DNA regions, allowing the detection of single nucleotide variants, insertions, deletions, copy-number variants and rearrangements
  • Around a half to a fifth the price of whole-genome sequencing.
  • Highly sensitive (at the single-nucleotide level).
  • Low throughput
  • Doesn’t detect mutations.
  • Only detects abnormalities in exomic DNA regions.
Wholegenome sequencing218 Determines the whole genomic sequencing of coding and non-coding regions of DNA at the single nucleotide base level
  • Allows detection of mutations in the whole genome.
  • Highly sensitive (at the single-nucleotide level).
  • High cost
  • Low throughput