High-resolution Microarray Research Articles

Analyses of karyotype by G-banding and high-resolution microarrays in a gender dysphoria population.

Gender Dysphoria is characterized by a marked incongruence between the cerebral sex and biological sex. To investigate the possible influence of karyotype on the etiology of Gender Dysphoria we carried out the cytogenetic analysis of karyotypes in 444 male-to-females (MtFs) and 273 female-to-males (FtMs) that attended the Gender Identity Units of Barcelona and Málaga (Spain) between 2000 and 2016. The karyotypes from 23 subjects (18 MtFs and 5 FtMs) were also analysed by Affymetrix CytoScan™ high-density (HD) arrays. Our data showed a higher incidence of cytogenetic alterations in Gender Dysphoria (2.65%) than in the general population (0.53%) (p < 0.0001). When G-banding was performed, 11 MtFs (2.48%) and 8 FtMs (2.93%) showed a cytogenetic alteration. Specifically, Klinefelter syndrome frequency was significantly higher (1.13%) (p < 0.0001), however Turner syndrome was not represented in our sample (p < 0.61). At molecular level, HD microarray analysis revealed a 17q21.31 microduplication which encompasses the gene KANSL1 (MIM612452) in 5 out of 18 MtFs and 2 out of 5 FtMs that corresponds to a copy-number variation region in chromosome 17q21.31. In conclusion, we confirm a significantly high frequency of aneuploidy, specifically Klinefelter syndrome and we identified in 7 out of 23 GD individuals the same microduplication of 572 Kb which encompasses the KANSL1 gene.

Transcriptome profiling of peripheral blood immune cell populations in multiple sclerosis patients before and during treatment with a sphingosine-1-phosphate receptor modulator.

Fingolimod is a sphingosine-1-phosphate (S1P) receptor modulator approved for the treatment of the relapsing form of multiple sclerosis (MS). It prevents the egress of lymphocyte subpopulations from lymphoid tissues into the circulation. Here, we explored the broad effects of fingolimod on gene expression in different immune cell subsets. Utilizing 150 high-resolution microarrays from Affymetrix, we obtained the transcriptome profiles of 5 cell populations, which were separated from the peripheral blood of MS patients prior to and following oral administration of fingolimod. After 3months of treatment, significant transcriptome shifts were seen in CD4+ and CD8+ cells, which is mainly attributable to the selective homing of naive T cells and central memory T cells. Although the number of B cells was greatly reduced in the blood of fingolimod-treated MS patients, the analysis of differential expression in CD19+ cells identified only a small set of 42 genes, which indicated a slightly higher frequency of transitional B cells. The transcriptome signatures of CD14+ monocytes and CD56+ natural killer cells were not affected. Our study corroborates changes in the composition of circulating immune cells in response to fingolimod and delineates the respective implications at the RNA level. Our data may be valuable for comparing the effects of novel S1P receptor modulating agents, which may be a therapeutic option for patients with secondary progressive MS as well.

Prenatal diagnosis of posterior fossa anomalies: Additional value of chromosomal microarray analysis in fetuses with cerebellar hypoplasia.

To elucidate the relationship between copy number variations (CNVs) detected by high-resolution chromosomal microarray analysis (CMA) and the type of prenatal posterior fossa anomalies (PFAs), especially cerebellar hypoplasia (CH). This study involved 77 pregnancies with PFAs who underwent CMA. Chromosomal aberrations including pathogenic CNVs and variants of unknown significance were detected in 31.2% (24/77) of all cases by CMA and in 18.5% (12/65) in fetuses with normal karyotypes. The high detection rate of clinically significant CNVs was evident in fetuses with cerebellar hypoplasia (54.6%, 6/11), vermis hypoplasia (33.3%, 1/3), and Dandy-Walker malformation (25.0%, 3/12). Compare with fetuses without other anomalies, cases with CH and additional malformations had the higher CMA detection rate (33.3% vs 88.9%). Three cases of isolated unilateral CH with intact vermis and normal CMA result had normal outcomes. The deletion of 5p15, 6q terminal deletion, and X chromosome aberrations were the most frequent genetic defects associated with cerebellar hypoplasia. Among fetuses with PFA, those with cerebellar hypoplasia, vermis hypoplasia, or Dandy-Walker malformation are at the highest risk of clinically significant CNVs. Chromosomal microarray analysis revealed the most frequent chromosomal aberrations associated with CH.

Comparison of gene expression profiles in the aquatic midge (Chironomus tentans) larvae exposed to two major agricultural pesticides

We developed a high-resolution expression microarray based on 2456 unique transcripts from a cDNA library of the aquatic midge (Chironomus tentans). By using the microarray, we detected that 146, 434 and 243 genes were differentially expressed after C. tentans larvae were exposed to chlorpyrifos (organophosphate insecticide) at 0.1 and 0.5 μg/L, and atrazine (triazine herbicide) at 1000 μg/L, respectively, for 48 h. The number of differentially expressed genes in the larvae exposed to chlorpyrifos at 0.5 μg/L was three times of that in the larvae exposed to chlorpyrifos at 0.1 μg/L. Among the differentially expressed genes in response to chlorpyrifos exposures, 76 genes showed significant Blast hits, and among them 42 were in common between the chlorpyrifos and atrazine exposures. In 19 differentially expressed xenobiotic detoxification genes, 16 were significantly up-regulated in the larvae exposed to chlorpyrifos and/or atrazine. Two cytochrome P450 genes (CtCYP6EV1 and CtCYP4DG2) were specifically up-regulated by chlorpyrifos, whereas three cytochrome P450 genes (CtCYP4DG1, CtCYP6EX3 and CtCYP6EV3) were specifically up-regulated by atrazine. Our results showed that chlorpyrifos exposures even at low concentrations can lead to significant changes in gene expression. The significant transcriptional responses are likely attributed to larval intoxication by the insecticide. These results not only support our previous studies in which candidate gene approaches were used, but also can potentially help develop specific molecular markers for monitoring pesticide exposures in non-target organisms in aquatic systems.

Impact of IQ on the diagnostic yield of chromosomal microarray in a community sample of adults with schizophrenia

BackgroundSchizophrenia is a severe psychiatric disorder associated with IQ deficits. Rare copy number variations (CNVs) have been established to play an important role in the etiology of schizophrenia. Several of the large rare CNVs associated with schizophrenia have been shown to negatively affect IQ in population-based controls where no major neuropsychiatric disorder is reported. The aim of this study was to examine the diagnostic yield of microarray testing and the functional impact of genome-wide rare CNVs in a community ascertained cohort of adults with schizophrenia and low (< 85) or average (≥ 85) IQ.MethodsWe recruited 546 adults of European ancestry with schizophrenia from six community psychiatric clinics in Canada. Each individual was assigned to the low or average IQ group based on standardized tests and/or educational attainment. We used rigorous methods to detect genome-wide rare CNVs from high-resolution microarray data. We compared the burden of rare CNVs classified as pathogenic or as a variant of unknown significance (VUS) between each of the IQ groups and the genome-wide burden and functional impact of rare CNVs after excluding individuals with a pathogenic CNV.ResultsThere were 39/546 (7.1%; 95% confidence interval [CI] = 5.2–9.7%) schizophrenia participants with at least one pathogenic CNV detected, significantly more of whom were from the low IQ group (odds ratio [OR] = 5.01 [2.28–11.03], p = 0.0001). Secondary analyses revealed that individuals with schizophrenia and average IQ had the lowest yield of pathogenic CNVs (n = 9/325; 2.8%), followed by those with borderline intellectual functioning (n = 9/130; 6.9%), non-verbal learning disability (n = 6/29; 20.7%), and co-morbid intellectual disability (n = 15/62; 24.2%). There was no significant difference in the burden of rare CNVs classified as a VUS between any of the IQ subgroups. There was a significantly (p=0.002) increased burden of rare genic duplications in individuals with schizophrenia and low IQ that persisted after excluding individuals with a pathogenic CNV.ConclusionsUsing high-resolution microarrays we were able to demonstrate for the first time that the burden of pathogenic CNVs in schizophrenia differs significantly between IQ subgroups. The results of this study have implications for clinical practice and may help inform future rare variant studies of schizophrenia using next-generation sequencing technologies.

High resolution chromosomal microarray analysis in paediatric obsessive-compulsive disorder

BackgroundObsessive-Compulsive Disorder (OCD) is a common and chronic disorder in which a person has uncontrollable, reoccurring thoughts and behaviours. It is a complex genetic condition and, in case of early onset (EO), the patients manifest a more severe phenotype, and an increased heritability. Large (>500 kb) copy number variations (CNVs) previously associated with autism and schizophrenia have been reported in OCD. Recently, rare CNVs smaller than 500 kb overlapping risk loci for other neurodevelopmental conditions have also been reported in OCD, stressing the importance of examining CNVs of any size range. The aim of this study was to further investigate the role of rare and small CNVs in the aetiology of EO-OCD.MethodsWe performed high-resolution chromosomal microarray analysis in 121 paediatric OCD patients and in 124 random controls to identify rare CNVs (>50 kb) which might contribute to EO-OCD.ResultsThe frequencies and the size of the observed rare CNVs in the patients did not differ from the controls. However, we observed a significantly higher frequency of rare CNVs affecting brain related genes, especially deletions, in the patients (OR = 1.98, 95% CI 1.02–3.84; OR = 3.61, 95% CI 1.14–11.41, respectively). Similarly, enrichment-analysis of CNVs gene content, performed with three independent methods, confirmed significant clustering of predefined genes involved in synaptic/brain related functional pathways in the patients but not in the controls. In two patients we detected de-novo CNVs encompassing genes previously associated with different neurodevelopmental disorders (NRXN1, ANKS1B, UHRF1BP1).ConclusionsOur results further strengthen the role of small rare CNVs, particularly deletions, as susceptibility factors for paediatric OCD.

Genome-wide copy number variation analysis in monozygotic twins

Increasing evidence indicates the presence of copy number variations (CNVs) between pairs of monozygotic (MZ) twins, especially when they are phenotypically discordant. These results suggest that a genome-wide comparison of CNV profiles between MZ twins might provide insight into forensic discrimination of MZ twins. Here, using a high-resolution microarray, we compared the CNV profiles in blood samples collected from MZ twins. We detected 1345 CNV loci. Among them, 31 were shared in at least half of the samples. This study suggests the potential utility of CNVs in the identification of individual MZ twins.

Mining Novel Candidate Imprinted Genes Using Genome-Wide Methylation Screening and Literature Review

Large-scale transcriptome and methylome data analyses obtained by high-throughput technologies have been enabling the identification of novel imprinted genes. We investigated genome-wide DNA methylation patterns in multiple human tissues, using a high-resolution microarray to uncover hemimethylated CpGs located in promoters overlapping CpG islands, aiming to identify novel candidate imprinted genes. Using our approach, we recovered ~30% of the known human imprinted genes, and a further 168 candidates were identified, 61 of which with at least three hemimethylated CpGs shared by more than two tissue types. Thirty-four of these candidate genes are members of the protocadherin cluster on 5q31.3; in mice, protocadherin genes have non-imprinted random monoallelic expression, which might also be the case in humans. Among the remaining 27 genes, ZNF331 was recently validated as an imprinted gene, and six of them have been reported as candidates, supporting our prediction. Five candidates (CCDC166, ARC, PLEC, TONSL, and VPS28) map to 8q24.3, and might constitute a novel imprinted cluster. Additionally, we performed a comprehensive compilation of known human and mice imprinted genes from literature and databases, and a comparison among high-throughput imprinting studies in humans. The screening for hemimethylated CpGs shared by multiple human tissues, together with the extensive review, appears to be a useful approach to reveal candidate imprinted genes.

OC21.04: Chromosomal microarray as a primary diagnostic genomic tool for pregnancies defined as being at increased risk within a population‐based combined first trimester screening program

Objective To evaluate the impact of using high-resolution chromosomal microarray (CMA) as the standard diagnostic approach to examine for genomic imbalances in pregnancies with increased risk (≥1 in 300) defined through combined first trimester screening (cFTS). Methods A cohort of 575 consecutive pregnancies that had cFTS risk ≥1:300 through a publicly funded population based screening program in the Central and Northern Regions of Denmark between September 2015 and September 2016. Women with an NT ≥3.5 mm or opting for NIPT were excluded. Comparative genomic hybridization was performed using a 180 K oligonucleotide array on DNA extracted directly from samples. Genomic outcomes are reported in relation to cFTS findings. Results 22 cases (22/575, 3.8%; 95% CI: 2.5-5.7%) of trisomy 21, 18 and 13 were detected. A further 14 cases (14/575, 2.4%; 95% CI: 1.4-4.0%) of other types of aneuploidy were detected as well as 15 (15/575, 2.6%: 95% CI: 1.5-4.3%) cases with a pathogenic or likely pathogenic copy number variant (CNV). Reducing the cFTS risk threshold for invasive diagnostic testing to 1 in 100 or 1 in 50 would have led, respectively, to 60% or 100% of the pathogenic CNVs being missed. Conclusion CMA is a valuable diagnostic technique that can identify an increased number of genomic aberrations in pregnancies at increased risk after cFTS. Limiting diagnostic testing to pregnancies with a risk above 1:100 or 1:50, as proposed in contingent NIPT/invasive testing models, will lead to a significant proportion of pathogenic CNVs being missed at first trimester screening.

Evaluation of three read-depth based CNV detection tools using whole-exome sequencing data

BackgroundWhole exome sequencing (WES) has been widely accepted as a robust and cost-effective approach for clinical genetic testing of small sequence variants. Detection of copy number variants (CNV) within WES data have become possible through the development of various algorithms and software programs that utilize read-depth as the main information. The aim of this study was to evaluate three commonly used, WES read-depth based CNV detection programs using high-resolution chromosomal microarray analysis (CMA) as a standard.MethodsPaired CMA and WES data were acquired for 45 samples. A total of 219 CNVs (size ranged from 2.3 kb – 35 mb) identified on three CMA platforms (Affymetrix, Agilent and Illumina) were used as standards. CNVs were called from WES data using XHMM, CoNIFER, and CNVnator with modified settings.ResultsAll three software packages detected an elevated proportion of small variants (< 20 kb) compared to CMA. XHMM and CoNIFER had poor detection sensitivity (22.2 and 14.6%), which correlated with the number of capturing probes involved. CNVnator detected most variants and had better sensitivity (87.7%); however, suffered from an overwhelming detection of small CNVs below 20 kb, which required further confirmation. Size estimation of variants was exaggerated by CNVnator and understated by XHMM and CoNIFER.ConclusionLow concordances of CNV, detected by three different read-depth based programs, indicate the immature status of WES-based CNV detection. Low sensitivity and uncertain specificity of WES-based CNV detection in comparison with CMA based CNV detection suggests that CMA will continue to play an important role in detecting clinical grade CNV in the NGS era, which is largely based on WES.

Application of chromosome microarray analysis for the delineation of pathogenesis for fetal ventriculomegaly

To assess the value of genome-wide high-resolution chromosomal microarray analysis (CMA) for the delineation of pathogenesis for fetal ventriculomegaly diagnosed by ultrasound or magnetic resonance imaging (MRI). Three hundred and forty-one cases of fetal ventriculomegaly were collected. The samples were grouped based on the extent of lateral ventricular dilatation, presence of additional features, site of occurrence, and the maternal age. All samples were subjected to karyotyping analysis. For those with a normal karyotype, DNA was extracted and hybridized with an Affymetrix CytoScan HD array. All cases were followed up. Among the 341 fetuses, 21 (6.2%) were detected with an abnormal karyotype. For the 320 cases with a normal karyotype, 179 (55.9%) have accepted CMA analysis. Potentially pathogenic CNVs were identified in 12 (6.7%) of the 179 cases, whose sizes ranged from 198 kb to 8.71 Mb. These included a 1q21.3q23.1 deletion, a 2q37.3 deletion, a 3p14.1p13 deletion, a 6q25.3 deletion, a 8q11.23 duplication, a 10q21.1 deletion, a 15q11.2 deletion and a 16p13.11p12.3 duplication, a 22q13.33 duplication, a 22q11.21 duplication and a Xp21.1 duplication (Duchenne muscular dystrophy). Pathogenic CNVs were detected respectively in 7.5% and 3.1% of those with mild and severe ventriculomegaly (P=0.615), in 6.1% and 7.4% of those with isolated and non-isolated ventriculomegaly (P=0.732), in 5.6% and 7.9% of those with unilateral and bilateral ventriculomegaly (P=0.511), and in 6.7% of both elderly and non-elderly groups (P=1.000). The detection rate for abnormal karyotypes among fetuses with ventriculomegaly was 6.2%. CMA can increase the detection rate by approximately 6.7%. There was no significant correlation between ventriculomegaly and presence of pathogenic CNVs. In clinical practice, fetuses with ventriculomegaly and a normal karyotype should be considered for CMA analysis.

Rare Genome-Wide Copy Number Variation and Expression of Schizophrenia in 22q11.2 Deletion Syndrome.

Chromosome 22q11.2 deletion syndrome (22q11.2DS) is associated with a more than 20-fold increased risk for developing schizophrenia. The aim of this study was to identify additional genetic factors (i.e., "second hits") that may contribute to schizophrenia expression. Through an international consortium, the authors obtained DNA samples from 329 psychiatrically phenotyped subjects with 22q11.2DS. Using a high-resolution microarray platform and established methods to assess copy number variation (CNV), the authors compared the genome-wide burden of rare autosomal CNV, outside of the 22q11.2 deletion region, between two groups: a schizophrenia group and those with no psychotic disorder at age ≥25 years. The authors assessed whether genes overlapped by rare CNVs were overrepresented in functional pathways relevant to schizophrenia. Rare CNVs overlapping one or more protein-coding genes revealed significant between-group differences. For rare exonic duplications, six of 19 gene sets tested were enriched in the schizophrenia group; genes associated with abnormal nervous system phenotypes remained significant in a stepwise logistic regression model and showed significant interactions with 22q11.2 deletion region genes in a connectivity analysis. For rare exonic deletions, the schizophrenia group had, on average, more genes overlapped. The additional rare CNVs implicated known (e.g., GRM7, 15q13.3, 16p12.2) and novel schizophrenia risk genes and loci. The results suggest that additional rare CNVs overlapping genes outside of the 22q11.2 deletion region contribute to schizophrenia risk in 22q11.2DS, supporting a multigenic hypothesis for schizophrenia. The findings have implications for understanding expression of psychotic illness and herald the importance of whole-genome sequencing to appreciate the overall genomic architecture of schizophrenia.

Chromosome 20q Amplification Defines a Subtype of Microsatellite Stable, Left-Sided Colon Cancers with Wild-type RAS/RAF and Better Overall Survival.

Here, comprehensive analysis was performed on the molecular and clinical features of colorectal carcinoma harboring chromosome 20q amplification. Tumor and normal DNA from patients with advanced colorectal carcinoma underwent next-generation sequencing via MSK-IMPACT, and a subset of case samples was subjected to high-resolution microarray (Oncoscan). Relationships between genomic copy number and transcript expression were assessed with The Cancer Genome Atlas (TCGA) colorectal carcinoma data. Of the colorectal carcinoma patients sequenced (n = 401) with MSK-IMPACT, 148 (37%) had 20q gain, and 30 (7%) had 20q amplification. In both the MSK-IMPACT and TCGA datasets, BCL2L1 was the most frequently amplified 20q oncogene. However, SRC was the only recognized 20q oncogene with a significant inverse relationship between mRNA upregulation and RAS/RAF mutation (OR, -0.4 ± 0.2, P = 0.02). In comparison with 20q diploid colorectal carcinoma, 20q gain/amplification was associated with wild-type KRAS (P < 0.001) and BRAF (P = 0.01), microsatellite stability (P < 0.001), distal primary tumors (P < 0.001), and mutant TP53 (P < 0.001), but not stage. On multivariate analysis, longer overall survival from the date of metastasis was observed with chromosome 20q gain (P = 0.02) or amplification (P = 0.04) compared with diploid 20q.Implications: 20q amplification defines a subset of colorectal cancer patients with better overall survival from the date of metastasis, and further studies are warranted to assess whether the inhibition of 20q oncogenes, such as SRC, may benefit this subset of patients. Mol Cancer Res; 15(6); 708-13. ©2017 AACR.

Comprehensive Genetic Analysis of Pregnancy Loss by Chromosomal Microarrays: Outcomes, Benefits, and Challenges

(Abstracted from Genet Med 2017;19(1):83–89) High-resolution chromosomal microarray analysis (CMA) with single-nucleotide polymorphism (SNP)–based arrays is increasingly used for pediatric and prenatal diagnoses as they can simultaneously detect aneuploidies, submicroscopic chromosomal imbalances, triploidy, and regions of allelic homozygosity. Overall, 15% to 20% of clinically recognized pregnancies end in miscarriage, and approximately 1% of couples experience recurrent (at least 2) pregnancy losses.

Mutations in proteasome-related genes are associated with thyroid hemiagenesis

PurposeHuman thyroid development is a complex and still unexplained process. Thyroid hemiagenesis is a congenital anomaly, where one of the thyroid lobes fails to develop. In the majority of patients with thyroid hemiagenesis, the genetic background remains unknown. The aim of the study was to search for novel genetic contributors to the etiology of thyroid hemiagenesis.MethodsA cohort of 34 sporadic patients diagnosed with thyroid hemiagenesis and one three-generation family were subjected to comprehensive genomic examination. Initially, targeted screening of associated transcription factors, known to be linked to thyroid development, was performed. As a next step, genomic examinations were applied using high-resolution microarrays, whereas for the thyroid hemiagenesis family, additionally the whole exome sequencing was performed.ResultsScreening of transcription factors revealed no causative mutations in the studied cohort. Genomic examinations revealed the presence of four recurrent defects (three deletions and one duplication) affecting highly conservative proteasome genes PSMA1, PSMA3, and PSMD3. In a thyroid hemiagenesis family a splice site mutation in a proteasome gene PSMD2 (c.612T > C cDNA.1170T > C, g.3271T > C) was found in both affected mother and daughter.ConclusionsOur results shed a new light on etiology of thyroid hemiagenesis, so far suspected to be linked only to mutations in the genes directly involved in the thyroid development. We demonstrated, for the first time, that genomic alterations in proteasome-associated genes co-occur in patients presenting this developmental anomaly.

239 - Molecular Characterization of Younger Indian Patients with De Novo Myelodysplastic Syndromes: AIIMS Experience

The genetic mechanisms underlying adrenocortical tumor development are still largely unknown. We used high-resolution single nucleotide polymorphism microarrays (Affymetrix SNP 6.0) to detect copy number alterations (CNAs) and copy-neutral losses of heterozygosity (cnLOH) in 15 cortisol-secreting adrenocortical adenomas with matched blood samples. We focused on microalterations aiming to discover new candidate genes involved in early tumorigenesis and/or autonomous cortisol secretion. We identified 962 CNAs with a median of 18 CNAs per sample. Half of them involved noncoding regions, 89% were less than 100 kb, and 28% were found in at least two samples. The most frequently gained regions were 5p15.33, 6q16.1, 7p22.3-22.2, 8q24.3, 9q34.2-34.3, 11p15.5, 11q11, 12q12, 16q24.3, 20p11.1-20q21.11, and Xq28 (≥20% of cases), most of them being identified in the same three adenomas. These regions contained among others genes like NOTCH1, CYP11B2, HRAS, and IGF2. Recurrent losses were less common and smaller than gains, being mostly localized at 1p, 6q, and 11q. Pathway analysis revealed that Notch signaling was the most frequently altered. We identified 46 recurrent CNAs that each affected a single gene (31 gains and 15 losses), including genes involved in steroidogenesis (CYP11B1) or tumorigenesis (CTNNB1, EPHA7, SGK1, STIL, FHIT). Finally, 20 small cnLOH in four cases affecting 15 known genes were found. Our findings provide the first high-resolution genome-wide view of chromosomal changes in cortisol-secreting adenomas and identify novel candidate genes, such as HRAS, EPHA7, and SGK1. Furthermore, they implicate that the Notch1 signaling pathway might be involved in the molecular pathogenesis of adrenocortical tumors.

Characterization of chromosomal abnormalities in pregnancy losses reveals critical genes and loci for human early development.

Detailed characterization of chromosomal abnormalities, a common cause for congenital abnormalities and pregnancy loss, is critical for elucidating genes for human fetal development. Here, 2,186 product-of-conception samples were tested for copy-number variations (CNVs) at two clinical diagnostic centers using whole-genome sequencing and high-resolution chromosomal microarray analysis. We developed a new gene discovery approach to predict potential developmental genes and identified 275 candidate genes from CNVs detected from both datasets. Based on Mouse Genome Informatics (MGI) and Zebrafish model organism database (ZFIN), 75% of identified genes could lead to developmental defects when mutated. Genes involved in embryonic development, gene transcription, and regulation of biological processes were significantly enriched. Especially, transcription factors and gene families sharing specific protein domains predominated, which included known developmental genes such as HOX, NKX homeodomain genes, and helix-loop-helix containing HAND2, NEUROG2, and NEUROD1 as well as potential novel developmental genes. We observed that developmental genes were denser in certain chromosomal regions, enabling identification of 31 potential genomic loci with clustered genes associated with development.

Transient and permanent changes in DNA methylation patterns in inorganic arsenic-mediated epithelial-to-mesenchymal transition

Chronic low dose inorganic arsenic exposure causes cells to take on an epithelial-to-mesenchymal phenotype, which is a crucial process in carcinogenesis. Inorganic arsenic is not a mutagen and thus epigenetic alterations have been implicated in this process. Indeed, during the epithelial-to-mesenchymal transition, morphologic changes to cells correlate with changes in chromatin structure and gene expression, ultimately driving this process. However, studies on the effects of inorganic arsenic exposure/withdrawal on the epithelial-to-mesenchymal transition and the impact of epigenetic alterations in this process are limited. In this study we used high-resolution microarray analysis to measure the changes in DNA methylation in cells undergoing inorganic arsenic-induced epithelial-to-mesenchymal transition, and on the reversal of this process, after removal of the inorganic arsenic exposure. We found that cells exposed to chronic, low-dose inorganic arsenic exposure showed 30,530 sites were differentially methylated, and with inorganic arsenic withdrawal several differential methylated sites were reversed, albeit not completely. Furthermore, these changes in DNA methylation mainly correlated with changes in gene expression at most sites tested but not at all. This study suggests that DNA methylation changes on gene expression are not clear-cut and provide a platform to begin to uncover the relationship between DNA methylation and gene expression, specifically within the context of inorganic arsenic treatment.

A curated collection of tissue microarray images and clinical outcome data of prostate cancer patients

Microscopy image data of human cancers provide detailed phenotypes of spatially and morphologically intact tissues at single-cell resolution, thus complementing large-scale molecular analyses, e.g., next generation sequencing or proteomic profiling. Here we describe a high-resolution tissue microarray (TMA) image dataset from a cohort of 71 prostate tissue samples, which was hybridized with bright-field dual colour chromogenic and silver in situ hybridization probes for the tumour suppressor gene PTEN. These tissue samples were digitized and supplemented with expert annotations, clinical information, statistical models of PTEN genetic status, and computer source codes. For validation, we constructed an additional TMA dataset for 424 prostate tissues, hybridized with FISH probes for PTEN, and performed survival analysis on a subset of 339 radical prostatectomy specimens with overall, disease-specific and recurrence-free survival (maximum 167 months). For application, we further produced 6,036 image patches derived from two whole slides. Our curated collection of prostate cancer data sets provides reuse potential for both biomedical and computational studies.

Genomic analysis reveals frequent TRAF7 mutations in intraneural perineuriomas.

Intraneural perineuriomas are benign peripheral nerve sheath tumors that cause progressive debilitating focal extremity weakness. The etiology of perineuriomas is largely unknown. We utilized whole exome sequencing, copy number algorithm evaluation, and high-resolution whole genome microarray to investigate for a genetic causal link to intraneural perineuriomas. Ten of 16 (60%) tumor cases had mutations in the WD40 domain of TRAF7, the same location for causal mutations of meningiomas. Two additional perineurioma cases had large chromosomal abnormalities in multiple chromosomes, including chromosome 22q. This study identifies a common cause for intraneural perineuriomas and an unexpected shared pathogenesis with intracranial meningiomas. Ann Neurol 2017;81:316-321.