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PubMed2026

GBSC: graph-based sequence clustering method for similar short tandem repeats in protein sequences.

MOTIVATION: Short tandem repeats (STRs) are abundant in protein sequences and play important role in determining their structures and functions. Strikingly, the unusual compositional characteristics of tandem repeats break classical sequence analysis tools. RESULTS: Here, we establish the first algorithm to effectively identify and cluster STRs: Graph-Based Sequence Clustering (GBSC) features linear time complexity, and clusters protein sequence fragments based on their STRs, while allowing for insertions and mutations and supporting the analysis of imperfect or cryptic repeats. Due to its computational efficacy, our algorithm can be used to systematically scan for patterns in large datasets. We compare our method both to state-of-the-art methods for identifying STRs in proteins and alternative clustering approaches. Unlike existing STR analysis methods, GBSC clusters repeat patterns rather than raw sequences, operating at the level of structural repeat identity, while tolerating biological variations and preventing erroneous merging of structurally and functionally distinct motifs. Whereas functional annotation is typically only available at the protein level, the functions of individual STRs and sequences of adjacent STRs remain largely unknown. On a challenging use case we here demonstrate and discuss how our method can be used to associate previously unannotated repetitive protein fragments with similar ones, allowing the transfer of annotation by similarity. For the first time, GBSC offers a tool that systematically extends this fundamental bioinformatics principle to low-complexity regions across large datasets. AVAILABILITY AND IMPLEMENTATION: GBSC is available at GitHub https://github.com/patryk-jarnot/GBSC and https://doi.org/10.5281/zenodo.18965247. The data and scripts to reproduce the analysis are available at https://doi.org/10.5281/zenodo.16906653.

Microsatellite Repeats↗

PubMed2026

Detection of short tandem repeats in the cattle genome: a comparison of bioinformatic tools.

BACKGROUND: Short tandem repeats (STRs) are repetitive DNA sequences with 1–6 nucleotide repeat units, exhibiting high polymorphism due to varying repeat counts. STRs are more variable than SNPs and can cause genetic disorders. With population-scale cattle whole-genome sequencing data available, whole-genome STR identification has attracted new interest, but challenges remain due to the lack of standardized methods, sequencing data limitations, and the diversity of STR-calling tools. This study compared six STR-calling tools: HipSTR, GangSTR, and ExpansionHunter for short-read data, and Straglr, RepeatHMM, and LongTR for Oxford Nanopore (ONT) long-read data—using sequences from five Holstein cattle (two parent–offspring trios with a shared sire). This is the first cattle study to evaluate short- and long-read STR callers using both data types from the same animals. RESULTS: In short-read data, ExpansionHunter identified the highest number of polymorphic STRs (pSTRs) (327,690), followed by HipSTR (205,900) and GangSTR (110,680), with 93,023 loci detected by all three tools. In long-read data, LongTR detected 470,250 pSTRs, RepeatHMM 224,185, and Straglr 90,275, with only 33,253 loci shared among them. Mendelian consistency of STR genotypes in the trio offspring was high (> 0.8) for all short-read tools, with HipSTR and GangSTR highest at 0.98. LongTR was the only long-read tool with high consistency (0.88). Short-read tools also showed higher concordance in STR genotypes among themselves than was observed among long-read tools. However, long-read tools had a clear advantage in detecting large STRs. Relative to computational efficiency, HipSTR and GangSTR (short-reads), and LongTR (long-reads) required less memory and shorter runtimes than the other tools. CONCLUSIONS: Tool selection is critical for accurate whole-genome STR identification in cattle. For short-read data, HipSTR showed relatively high Mendelian consistency and concordance compared to the other tools, while ExpansionHunter was able to detect longer STRs but with lower Mendelian consistency. For long-read data, LongTR demonstrated higher consistency and computational efficiency relative to the other tools. Based on these results, HipSTR and LongTR are suggested as preferred options for short-read and ONT long-read datasets, respectively, in cattle STR analysis. These recommendations are based on the metrics observed in this study, and confirmatory analyses across additional breeds, larger sample sizes, and validated truth sets are encouraged.

Animals↗

PubMed2026

Atypical short tandem repeat allelic patterns in a sexual assault case involving hematopoietic stem cell transplantation.

Short tandem repeat (STR) profiling is a cornerstone of forensic DNA analysis, particularly during criminal investigations. However, certain clinical conditions, such as bone marrow transplantation, can complicate interpretation. To illustrate the impact of allogeneic bone marrow transplantation on forensic STR analysis, this case report details a sexual assault investigation involving a female victim who had previously received a bone marrow transplant from a female donor. A female sexual assault victim underwent forensic examination, during which multiple biological swabs were collected. STR profiling was conducted on the victim's blood, fingernail, buccal, breast, hip, vulvar, vaginal, cervical samples, panty, and brassiere. As conflicting profiles were found, a detailed medical history was collected, and hair follicle analysis was performed to confirm the origin of the STR profiles. Blood STR profiling revealed a single female genotype, while multiple swabs, including vaginal and cervical samples, showed a second female STR profile alongside the first. Notably, the consistency and distribution of the mixed profile across samples reduced the likelihood of laboratory contamination. The medical history of the victim revealed a prior history of allogeneic bone marrow transplant. Hair follicle analysis identified the recipient's original genotype, confirming that the secondary STR profile originated from the donor. Bone marrow transplantation may result in a mixed STR profile, potentially leading to misidentification or misinterpretation of forensic evidence. Awareness of transplant history is crucial during forensic evaluations. However, such clinical history is currently not included in standard sexual-assault evidence forms, underscoring the need for procedural updates.

Female↗

PubMed2024

A comparison of software for analysis of rare and common short tandem repeat (STR) variation using human genome sequences from clinical and population-based samples.

Short tandem repeat (STR) variation is an often overlooked source of variation between genomes. STRs comprise about 3% of the human genome and are highly polymorphic. Some cause Mendelian disease, and others affect gene expression. Their contribution to common disease is not well-understood, but recent software tools designed to genotype STRs using short read sequencing data will help address this. Here, we compare software that genotypes common STRs and rarer STR expansions genome-wide, with the aim of applying them to population-scale genomes. By using the Genome-In-A-Bottle (GIAB) consortium and 1000 Genomes Project short-read sequencing data, we compare performance in terms of sequence length, depth, computing resources needed, genotyping accuracy and number of STRs genotyped. To ensure broad applicability of our findings, we also measure genotyping performance against a set of genomes from clinical samples with known STR expansions, and a set of STRs commonly used for forensic identification. We find that HipSTR, ExpansionHunter and GangSTR perform well in genotyping common STRs, including the CODIS 13 core STRs used for forensic analysis. GangSTR and ExpansionHunter outperform HipSTR for genotyping call rate and memory usage. ExpansionHunter denovo (EHdn), STRling and GangSTR outperformed STRetch for detecting expanded STRs, and EHdn and STRling used considerably less processor time compared to GangSTR. Analysis on shared genomic sequence data provided by the GIAB consortium allows future performance comparisons of new software approaches on a common set of data, facilitating comparisons and allowing researchers to choose the best software that fulfils their needs.

Humans↗

PubMed2026

pSTRminer: integrated bioinformatic software for genome-wide identification and population-scale evaluation of polymorphic short tandem repeats.

Animal forensic genetics plays a critical role in criminal investigations by providing crucial evidence through domestic animal individualization and wildlife species identification. While human forensic genetics benefits from standardized short tandem repeats (STR) genotyping systems, animal forensic applications encounter significant challenges, including the limited availability of validated STR markers, the prevalence of error-prone dinucleotide STRs (di-STRs), and insufficient integration of population data. To address these challenges, we developed pSTRminer, an integrated bioinformatic tool that automates genome-wide STR mining and polymorphism evaluation. By applying pSTRminer to domestic cattle (Bos taurus), we identified 775,444 STRs de novo from the reference genome and genotyped them using whole-genome sequencing data from 60 Chinese and 111 African cattle to evaluate polymorphism across diverse genetic backgrounds. This led to the development of the cattle STR database (CSDB), comprising loci with a genotyping success rate ≥ 40% and polymorphism information content (PIC) ≥ 0.5. Experimental validation of 30 randomly selected tetranucleotide STRs (tetra-STRs) and 33 di-STRs via next-generation sequencing in a local Chinese cattle population (n = 145) confirmed marker reliability. Although tetra-STRs had lower average polymorphism levels, they exhibited significantly lower stutter ratios (p < 0.05), providing a viable path for identifying discriminative markers with fewer artifacts. Systematic screening revealed that certain tetra-STRs could surpass di-STRs in polymorphism. In conclusion, pSTRminer provides a scalable framework for developing standardized STR panels, facilitating the identification of robust and informative markers in forensic applications.

Bioinformatic software↗

PubMed2026

A novel relationship between time offsets in capillary electrophoresis and DNA sequence variations in short tandem repeats.

Next-generation sequencing (NGS) provides increased discriminatory power in forensic DNA analysis due to the detection of isoalleles. Differences in sequences between alleles allow for a second layer of differentiation between DNA contributors beyond the number of short tandem repeat (STR) repeat units. However, because NGS is a more time and resource-intensive analysis than conventional capillary electrophoresis (CE), laboratories may benefit from indicators that suggest NGS is likely to provide added value. This study examined whether CE migration offsets, measured as residuals in the OSIRIS analysis software, can differ significantly among STR isoalleles. Residuals represent the time offset between a sample allele peak and its corresponding allelic ladder peak. Paired CE and NGS data from 95 single source samples were analyzed for CE-based residual differences, as the NGS data provided the sequence information of the corresponding isoalleles. Residual values differed significantly among isoalleles at several STR loci. Statistically significant differences were identified at D16S539 and D3S1358, as well as at specific allele lengths within D12S391, D13S317, and D8S1179. These findings demonstrate that CE residual variation can reflect underlying STR sequence differences between contributors. In practice, residual-based metrics could help laboratories to identify casework reference samples where NGS is likely to provide additional discrimination, without the need for processing outside of a routine CE workflow. Due to the potentially large number of isoalleles, community wide efforts to aggregate CE residual differences versus isoallele sequences may be useful in the validation and implementation of this approach to add value to forensic DNA analyses.

Electrophoresis, Capillary↗

PubMed2025

Polygenic variants in DNA repair genes are associated with neurodevelopmental disorders, regression and increased burdens of somatic variants and short tandem repeat expansions.

PURPOSE: Developmental regression, characterized by the loss of acquired milestones, occurs in some individuals with neurodevelopmental disorders (NDDs); yet, its molecular basis remains unclear. Studies suggest that DNA damage repair (DDR) genes, such as FAN1, may protect against neurological dysfunction by modulating the somatic stability of short tandem repeats (STRs). This study explores the contribution of DDR gene variants in NDD cases presenting with regression. METHODS: We analyzed 1087 NDD patients, focusing on those carrying variants in DDR genes and presenting regression. We assessed the sensitivity to DNA damage using mitomycin C on lymphoblastoid cells. Somatic variants and STR expansions were evaluated through high-depth short-read genome sequencing. To further investigate the pathogenetic role of STR expansions, we performed long-read genome sequencing on the most severely affected proband. RESULTS: Probands with regression carried multiple DDR gene variants, several within the Fanconi anemia pathway. Their lymphoblastoid cells showed increased sensitivity to mitomycin C-induced cytotoxicity compared with parental and control samples. Probands with severe phenotypes and regression exhibited an accumulation of somatic variants and STR instability, enriched in neurodevelopmental genes. CONCLUSION: Our findings suggest that polygenic DDR gene variants may contribute to developmental regression in NDDs by promoting the accumulation of somatic variants and STR expansions.

Humans↗

PubMed2024

Sequencing the orthologs of human autosomal forensic short tandem repeats provides individual- and species-level identification in African great apes.

BACKGROUND: Great apes are a global conservation concern, with anthropogenic pressures threatening their survival. Genetic analysis can be used to assess the effects of reduced population sizes and the effectiveness of conservation measures. In humans, autosomal short tandem repeats (aSTRs) are widely used in population genetics and for forensic individual identification and kinship testing. Traditionally, genotyping is length-based via capillary electrophoresis (CE), but there is an increasing move to direct analysis by massively parallel sequencing (MPS). An example is the ForenSeq DNA Signature Prep Kit, which amplifies multiple loci including 27 aSTRs, prior to sequencing via Illumina technology. Here we assess the applicability of this human-based kit in African great apes. We ask whether cross-species genotyping of the orthologs of these loci can provide both individual and (sub)species identification. RESULTS: The ForenSeq kit was used to amplify and sequence aSTRs in 52 individuals (14 chimpanzees; 4 bonobos; 16 western lowland, 6 eastern lowland, and 12 mountain gorillas). The orthologs of 24/27 human aSTRs amplified across species, and a core set of thirteen loci could be genotyped in all individuals. Genotypes were individually and (sub)species identifying. Both allelic diversity and the power to discriminate (sub)species were greater when considering STR sequences rather than allele lengths. Comparing human and African great-ape STR sequences with an orangutan outgroup showed general conservation of repeat types and allele size ranges. Variation in repeat array structures and a weak relationship with the known phylogeny suggests stochastic origins of mutations giving rise to diverse imperfect repeat arrays. Interruptions within long repeat arrays in African great apes do not appear to reduce allelic diversity. CONCLUSIONS: Orthologs of most human aSTRs in the ForenSeq DNA Signature Prep Kit can be analysed in African great apes. Primer redesign would reduce observed variability in amplification across some loci. MPS of the orthologs of human loci provides better resolution for both individual and (sub)species identification in great apes than standard CE-based approaches, and has the further advantage that there is no need to limit the number and size ranges of analysed loci.

Animals↗

PubMed2025

Tracking Somatic Mutations for Lineage Reconstruction.

The human genome is composed of distinct genomic regions that are susceptible to various types of somatic mutations. Among these, Short Tandem Repeats (STRs) stand out as the most mutable genetic elements. STRs are short repetitive polymorphic sequences, predominantly situated within noncoding sectors of the genome. The intrinsic repetition characterizing these sequences makes them highly mutable in vivo. Consequently, this characteristic provides the chance to unravel the natural developmental history of human viable cells retrospectively. However, STRs also introduce stutter noise in vitro amplification, which makes their analysis challenging. Here we describe our integrated biochemical-computational platform for single-cell lineage analysis. It consists of a pipeline whose inputs are single cells and whose output is a lineage tree of input cells.

Humans↗

PubMed2025

A genome-wide approach for the discovery of novel repeat expansion disorders in the Undiagnosed Diseases Network cohort.

PURPOSE: The Undiagnosed Diseases Network is a National Institutes of Health funded research study that aims to solve a broad clinical spectrum of challenging rare disease cases. Participants receive care from multiple clinical specialists, who collaborate to perform deep phenotyping and state-of-the-art multiomics analyses. As bioinformatics of short-read sequencing has matured, the discovery of repeat expansion disorders (REDs) is accelerating. REDs comprise approximately 60 characterized disorders, which exhibit a broad spectrum of phenotypes. Thus, a largely unbiased genome-wide approach in a phenotypically diverse sample will add to the diagnostic depth, explore the limits of short-read genome analysis, and establish novel candidate RED loci. METHODS: Here, we present a genome-wide analysis of repeat expansions conducted on 1018 genomes from the Undiagnosed Diseases Network. By leveraging 2 distinct bioinformatics tools, ExpansionHunter Denovo and STRling, we showed that repeat expansions can be accurately detected in short-read genomes. RESULTS: We demonstrated that a genotype-first approach can diagnose atypical cases of known REDs and provide valuable clinical insights. We present clinical details on participants with expansions in ATXN7, DMPK, FMR1, GLS, HTT, RFC1, AFF3, and MARCH6. Importantly, we highlight 2 cases of juvenile Huntington disease that were discovered through our analysis. Finally, we present a list of novel candidate short tandem repeats (TR) that could potentially be pathogenic if expanded. CONCLUSION: Importantly, our approach showcases the bioinformatic advancements in genome analysis for RED detection and highlights its practical applications.

Humans↗

PubMed2025

AVITI sequencing of a four-generation CEPH/Utah pedigree confirms low mutation rates at homopolymer loci despite their low sequence complexity.

BACKGROUND: Short tandem repeats (STRs) and homopolymers are among the most mutable loci in the human genome. Despite their presumed mutability owing to replication slippage, homopolymer loci exhibit lower mutation rates and minimal paternal age effects compared to other STRs. This paradox questions if technical limitations, rather than biological mechanisms, explain these observations. RESULTS: We used the Element Biosciences AVITI platform to sequence the genomes of a 48-member, four-generation CEPH/Utah pedigree. As the AVITI platform reduces error rates at repetitive sequences compared to Illumina, this design enabled accurate mutation discovery at 90% of assayed homopolymers and a 1.7-fold increase in discoverable mutations compared to Illumina. We identified a median of 35 de novo homopolymer mutations per trio and a mutation rate of 5.28 × 10-5 DNMs per locus per generation, confirming a lower rate than dinucleotides (1.94 × 10-4). Most DNMs were single base-pair expansions or contractions. Despite comprising <1% of homopolymer loci, G/C homopolymers showed 18-fold higher mutation rates than A/T homopolymers; in contrast, the high dinucleotide mutation rate is not driven by a particular motif class. Parent-of-origin analysis revealed 78% of homopolymer mutations are paternal in origin, but no significant paternal age effect was observed. CONCLUSIONS: This study confirms that homopolymers exhibit lower mutation rates and lack strong paternal age effects compared to other STRs, likely owing to the combination of a lower propensity to form slippage-causing secondary structures and more efficient mismatch repair. Our set of high-quality mutations suggest these phenomena are biological rather than technical in nature. Finally, we demonstrate that AVITI sequencing unlocks previously intractable regions of the genome and will be a powerful tool for continued investigation of repeat mutation.

AVITI↗

PubMed2026

Toward the clinical application of long-read sequencing in repeat-expansion disorders.

Repeat-expansion disorders (REDs) are a mechanistically and clinically well-defined subgroup of rare diseases caused by the expansion of short tandem repeats (STRs). These expansions can exceed several kilobases and show complex features, such as noncanonical secondary structures, somatic instability, repeat interruptions and allele-specific methylation. These characteristics are highly relevant for understanding disease mechanisms, clinical variability, prognosis and potentially therapeutic decision-making, but cannot be fully resolved using traditional diagnostic methods or short-read sequencing technologies. By contrast, long-read sequencing (LRS) enables accurate investigation of STR complexity in a single assay, facilitates the discovery of new pathogenic repeat expansions and drives advances in diagnostics, clinical and basic research, which may allow for better patient stratification in future clinical trials. This Perspective discusses recent LRS-driven discoveries, methodological and bioinformatic advances, and emerging diagnostic applications to illustrate the potential of LRS in reshaping both research and clinical practice.

Humans↗

PubMed2026

Parallel Analysis of Repeat Expansions: An Updated Clinical Nanopore Cas9-Targeted Sequencing Workflow for Nanopore R10 Flow Cells.

Hereditary ataxias, caused by expansions of short tandem repeats, are difficult to diagnose using traditional PCR and Southern blot methods, which struggle to detect complex repeat expansions and cannot assess repeat interruptions or methylation. An updated Clinical Nanopore Cas9-Targeted Sequencing workflow is presented for analyzing repeat expansions, now compatible with the Oxford Nanopore Technologies R10 flow cell. The workflow incorporates the Oxford Nanopore Technologies wf-human-variation Epi2Me workflow, including the Straglr tool to analyze base-called reads, ensuring compatibility with past, current, and future sequencing chemistries. It expands the number of genes analyzed from 10 to 27 and introduces new gene panels for ataxia, myopathy, neurodegeneration, and amyotrophic lateral sclerosis/motor neuron disease. Validated with Coriell reference and clinical samples, this method improves the analysis of pathogenic repeat expansions, providing deeper insights into repeat structures while addressing the limitations of traditional approaches. In this work, the use of multiplexing, Flongle flow cells, and single-gene targeting were explored as alternatives to panel-based approaches in the Clinical Nanopore Cas9-Targeted Sequencing workflow, finding that only single-gene targeting provides compatibility and reliable performance.

Journal Article↗

PubMed2025

tidk: a toolkit to rapidly identify telomeric repeats from genomic datasets.

SUMMARY: "tidk" (short for telomere identification toolkit) uses a simple, fast algorithm to scan long DNA reads for the presence of short tandemly repeated DNA in runs, and to aggregate them based on canonical DNA string representation. These are telomeric repeat candidates. Our algorithm is shown to be accurate in genomes for which the telomeric repeat unit is known and is tested across a wide variety of newly assembled genomes to uncover new telomeric repeat units. Tools are provided to identify telomeric repeats de novo, scan genomes for known telomeric repeats, and to visualize telomeric repeats on the assembly. "tidk" is implemented in Rust and is available as a command line tool which can be compiled using the Rust toolchain or downloaded as a binary from bioconda. AVAILABILITY AND IMPLEMENTATION: The "tidk" Rust crate is freely available under the MIT license (https://crates.io/crates/tidk), and the source code is available at https://github.com/tolkit/telomeric-identifier.

Telomere↗

PubMed2026

Pilot study of allele-specific multi-InDel markers for the detection of extremely unbalanced DNA mixtures.

Mixtures are common in forensic casework, and they represent one of the most challenging types of biological evidence. Traditional short tandem repeat analyses are often associated with limitations when dealing with extremely unbalanced mixtures because alleles from minor contributors can easily be masked by those of major contributors. Consequently, researchers have developed new technologies and methods for improving the analysis of mixtures, spanning upstream DNA extraction and downstream software analysis. Among these, strategies combining allele-specific amplification with compound markers have drawn particular interest because of their ability to selectively detect minor contributors in complex mixtures. In this study, we screened multi-InDels across the entire genome, designed allele-specific primers compatible with the capillary electrophoresis platform, and further explored their potential in unbalanced DNA mixtures and cell-free fetal DNA (cffDNA). Ultimately, a set comprising 10 multi-InDels was developed, and this included two groups of primers that separately amplified the long alleles (L primer set) and short alleles (S primer set). The results demonstrated that each primer pair could detect the minor component at a 1:1000 mixture ratio, whereas the L and S primer sets successfully detected the minor contributors at mixture ratios of 1:200 and 1:500, respectively. Furthermore, in the cffDNA analysis, 60 of 78 informative markers were successfully detected, with the complete detection of all informative markers achieved in 18 mother-child reference pairs. Overall, allele-specific amplification-based multi-InDel markers enabled the sensitive detection of minor contributors, providing a potential strategy for the analysis of unbalanced two-person mixtures.

Allelic-specific amplification↗

PubMed2025

Genetic and Demographic Determinants of Fuchs Endothelial Corneal Dystrophy Risk and Severity.

IMPORTANCE: Understanding the pathogenic mechanisms of Fuchs endothelial corneal dystrophy (FECD) could contribute to developing gene-targeted therapies. OBJECTIVE: To investigate associations between demographic data and age at first keratoplasty in a genetically refined FECD cohort. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study recruited 894 individuals with FECD at Moorfields Eye Hospital (London) and General University Hospital (Prague) from September 2009 to July 2023. Ancestry was inferred from genome-wide single nucleotide polymorphism array data. CTG18.1 status was determined by short tandem repeat and/or triplet-primed polymerase chain reaction. One or more expanded alleles (≥50 repeats) were classified as expansion-positive (Exp+). Expansion-negative (Exp-) cases were exome sequenced. MAIN OUTCOMES AND MEASURES: Association between variants in FECD-associated genes, demographic data, and age at first keratoplasty. RESULTS: Within the total cohort (n = 894), 77.3% of patients were Exp+. Most European (668 of 829 [80.6%]) and South Asian (14 of 22 [63.6%]) patients were Exp+. The percentage of female patients was higher (151 [74.4%]) in the Exp- cohort compared to the Exp+ cohort (395 [57.2%]; difference, 17.2%; 95% CI, 10.1%-24.3%; P < .001). The median (IQR) age at first keratoplasty of the Exp + patients (68.2 years [63.2-73.6]) was older than the Exp- patients (61.3 years [52.6-70.4]; difference, 6.5 years; 95% CI, 3.4-9.7; P < .001). The CTG18.1 repeat length of the largest expanded allele within the Exp+ group was inversely correlated with the age at first keratoplasty (β, -0.087; 95% CI, -0.162 to -0.012; P = .02). The ratio of biallelic to monoallelic expanded alleles was higher in the FECD cohort (1:14) compared to an unaffected control group (1:94; P < .001), indicating that 2 Exp+ alleles were associated with increased disease penetrance compared with 1 expansion. Potentially pathogenic variants (minor allele frequency, <0.01; combined annotation dependent depletion, >15) were only identified in FECD-associated genes in 13 Exp- individuals (10.1%). CONCLUSIONS AND RELEVANCE: In this multicenter cohort study among individuals with FECD, CTG18.1 expansions were present in most European and South Asian patients, while CTG18.1 repeat length and zygosity status were associated with modifications in disease severity and penetrance. Known disease-associated genes accounted for only a minority of Exp- cases, with unknown risk factors associated with disease in the rest of this subgroup. These data may have implications for future FECD gene-targeted therapy development.

Adult↗

PubMed2026

Novel and High-Throughput Method of Isolating Single Fetal Cells Using FACS for NIPT.

OBJECTIVE: To evaluate fluorescence activated cell sorting (FACS) as a method of single-cell isolation of rare circulating fetal cells from maternal blood for use in cell-based non-invasive prenatal testing (cbNIPT). METHOD: Blood samples (30 mL) were collected from 75 'low-risk' pregnant women (gestational age 10-15 weeks). Fetal cells were enriched and stained using magnetic activated cell sorting. Following enrichment, single fetal cells were sorted in individual PCR tubes by FACS. After cell lysis, verification of fetal cell origin was performed using short tandem repeat (STR) analysis with the GlobalFiler PCR Amplification kit. RESULTS: An average of 13.7 cells were sorted using FACS. STR analysis identified 8.2 fetal cells on average, representing 60.2% of the sorted cells. The four-step single-cell isolation procedure facilitated an overall enrichment of approximately 16-million-fold. One sample did not render any fetal cell, corresponding to 1.3% of the samples. CONCLUSION: FACS, which is typically used for segregation of large populations of cells, can be used for single-cell isolation of rare fetal cells in an automated setup. This not only helps in making cell isolation faster and high throughput but also provides fetal cells for a more comprehensive genetic analysis of the fetus.

Humans↗

PubMed2026

Genetic inference in social insects: The continued utility of microsatellites in the sociogenomic era.

Social insects differ from many other biological systems because colonies function as integrated reproductive, ecological, and evolutionary units, often conceptualized as superorganisms. This organization makes genetic inference inherently hierarchical, often requiring genotyping across multiple biological levels: the colony, the population, the individual, and, in some cases, the cellular level. Although whole-genome sequencing and single-nucleotide polymorphism (SNP)-based approaches are now widely used in population genomics, microsatellites or short tandem repeats (STRs) remain a useful approach for cost-effective, low-input, and highly replicated genotyping, particularly in the hierarchical sampling designs common in social insect studies. Here, we review the utility and limitations of microsatellites in social insect research using a three-tiered framework spanning colony-, population-, and individual- or cellular-level analyses. Across these scales, microsatellites are especially valuable for colony delimitation, kinship inference, diagnostic screening of known reproductive systems, and low-input genotyping. By comparing the suitability of microsatellites with that of SNP-based and broader genomic approaches across these applications, this review links marker choice to biological scale, sampling design, and inferential goal in studies of social insects.

Journal Article↗