Induced pluripotent stem cells established from a female patient with Xq22 deletion confirm that BEX2 escapes from X-chromosome inactivation

Reciprocal chromosome translocation t(3;4)(q27;q31.2) with deletion of 3q27 and reduced FBXW7 expression in a patient with developmental delay, hypotonia, and seizures

Reciprocal chromosomal translocation is one of genomic variations. When cytogenetically de novo reciprocal translocations are identified in patients with some clinical manifestations, the genes in the breakpoints are considered to be related to the clinical features. In this study, we encountered a patient with severe developmental delay, intractable epilepsy, growth failure, distinctive features, and skeletal manifestations. Conventional karyotyping revealed a de novo translocation described as 46,XY,t(3;4)(q27;q31.2). Chromosomal microarray testing detected a 1.25-Mb microdeletion at 3q27.3q28. Although the skeletal manifestations may have been affected by this deletion, the neurological features of this patient were severe and could not be fully explained by this deletion. Since no genomic copy number aberration was detected on chromosome 4, long-read whole-genome sequencing analysis was performed and a precise breakpoint was confirmed. A 460-bp deletion was detected between the two breakpoints; however, no gene was disrupted. FBXW7, the gene responsible for developmental delay, hypotonia, and impaired language, is in the 0.5-Mb telomeric region. Most of the patient's clinical features were considered consistent with symptoms of FBXW7-related disorders, but were more severe. FBXW7 expression in the immortalized lymphoblasts of the patient was reduced compared to that in controls. Based on these findings, we suspect that FBXW7 is affected by downstream position effects of chromosomal translocations. The severe neurological features of the patient may have been affected not only by the 3q27-q28 deletion but also by impaired expression of FBXW7 derived from the breakage of chromosome 4.

Glass syndrome derived from chromosomal breakage downstream region of SATB2

BACKGROUND

Glass syndrome, derived from chromosomal 2q33.1 microdeletions, manifests with intellectual disability, microcephaly, epilepsy, and distinctive features, including micrognathia, down-slanting palpebral fissures, cleft palate, and crowded teeth. Recently, SATB2 located within the deletion region, was identified as the causative gene responsible for Glass syndrome. Numerous disease-causing variants within the SATB2 coding region have been reported.

OBJECTIVE

Given the presentation of intellectual disability and multiple congenital anomalies in a patient with a de novo reciprocal translocation between chromosomes 1 and 2, disruption of the causative gene(s) was suspected. This study sought to identify the causative gene in the patient.

METHODS

Long-read whole-genome sequencing was performed, and the expression level of the candidate gene was analyzed.

RESULTS

The detection of breakpoints was successful. While the breakpoint on chromosome 1 disrupted RNF220, it was not deemed to be a genetic cause. Conversely, SATB2 is located in the approximately 100-kb telomeric region of the breakpoint on chromosome 2. The patient's clinical features resembled those of previously reported cases of Glass syndrome, despite the lack of confirmed reduced SATB2 expression.

CONCLUSION

The patient was diagnosed with Glass syndrome due to the similarity in clinical features. This led us to hypothesize that disruption in the downstream region of SATB2 could result in Glass syndrome. The microhomologies identified in the breakpoint junctions indicate a potential molecular mechanism involving microhomology-mediated break-induced repair mechanism or template switching.

Crowdsourcing temporal transcriptomic coronavirus host infection data: Resources, guide, and novel insights

The emergence of severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) reawakened the need to rapidly understand the molecular etiologies, pandemic potential, and prospective treatments of infectious agents. The lack of existing data on SARS-CoV-2 hampered early attempts to treat severe forms of coronavirus disease-2019 (COVID-19) during the pandemic. This study coupled existing transcriptomic data from severe acute respiratory syndrome-related coronavirus 1 (SARS-CoV-1) lung infection animal studies with crowdsourcing statistical approaches to derive temporal meta-signatures of host responses during early viral accumulation and subsequent clearance stages. Unsupervised and supervised machine learning approaches identified top dysregulated genes and potential biomarkers (e.g. CXCL10, BEX2, and ADM). Temporal meta-signatures revealed distinct gene expression programs with biological implications to a series of host responses underlying sustained Cxcl10 expression and Stat signaling. Cell cycle switched from G1/G0 phase genes, early in infection, to a G2/M gene signature during late infection that correlated with the enrichment of DNA damage response and repair genes. The SARS-CoV-1 meta-signatures were shown to closely emulate human SARS-CoV-2 host responses from emerging RNAseq, single cell, and proteomics data with early monocyte-macrophage activation followed by lymphocyte proliferation. The circulatory hormone adrenomedullin was observed as maximally elevated in elderly patients who died from COVID-19. Stage-specific correlations to compounds with potential to treat COVID-19 and future coronavirus infections were in part validated by a subset of twenty-four that are in clinical trials to treat COVID-19. This study represents a roadmap to leverage existing data in the public domain to derive novel molecular and biological insights and potential treatments to emerging human pathogens.