exploring-m6a-m5c-epitranscriptomes-upon-viral-infection-an-example

Exploring m<sup>6</sup>A and m<sup>5</sup>C Epitranscriptomes upon Viral Infection: an Example with HIV

The role of RNA modifications in biological processes has been the focus of an increasing number of studies in the last few years and is known nowadays as ...

SIB Swiss Institute of Bioinformatics

Colorectal cancer (CRC) is a frequently lethal disease with heterogeneous outcomes and drug responses. To resolve inconsistencies among the reported gene expression-based CRC classifications and facilitate clinical translation, we formed an international consortium dedicated to large-scale data sharing and analytics across expert groups. We show marked interconnectivity between six independent classification systems coalescing into four consensus molecular subtypes (CMSs) with distinguishing features: CMS1 (microsatellite instability immune, 14%), hypermutated, microsatellite unstable and strong immune activation; CMS2 (canonical, 37%), epithelial, marked WNT and MYC signaling activation; CMS3 (metabolic, 13%), epithelial and evident metabolic dysregulation; and CMS4 (mesenchymal, 23%), prominent transforming growth factor-β activation, stromal invasion and angiogenesis. Samples with mixed features (13%) possibly represent a transition phenotype or intratumoral heterogeneity. We consider the CMS groups the most robust classification system currently available for CRC-with clear biological interpretability-and the basis for future clinical stratification and subtype-based targeted interventions. 

The consensus molecular subtypes of colorectal cancer.

The transcription factor Tcf1 is essential for the development of natural killer (NK) cells. However, its precise role has not been clarified. Our combined analysis of Tcf1-deficient and transgenic mice indicated that Tcf1 guides NK cells through three stages of development. Tcf1 expression directed bone marrow progenitors toward the NK cell lineage and ensured the survival of NK-committed cells, and its downregulation was needed for terminal maturation. Impaired survival of NK-committed cells was due to excessive expression of granzyme B (GzmB) and other granzyme family members, which induced NK cell self-destruction during maturation and following activation with cytokines or target cells. Mechanistically, Tcf1 binding reduced the activity of a Gzmb-associated regulatory element, and this accounted for the reduced Gzmb expression in Tcf1-expressing NK cells. These data identify an unexpected requirement to limit the expression of cytotoxic effector molecules for the normal expansion and function of NK cells.

The Transcription Factor Tcf1 Contributes to Normal NK Cell Development and Function by Limiting the Expression of Granzymes.

Hepatoblastoma is the most common malignant pediatric liver cancer. Histological evaluation of tumor biopsies is used to distinguish among the different subtypes of hepatoblastoma, with fetal and embryonal representing the two main epithelial components. With frequent  mutations, hepatoblastoma is a Wnt/β-catenin-driven malignancy. Considering that Wnt activation has been associated with tumor metabolic reprogramming, we characterized the metabolic profile of cells from hepatoblastoma and compared it to cells from hepatocellular carcinoma. First, we demonstrated that glucose transporter  is a direct TCF4/β-catenin target gene. RNA sequencing enabled to identify molecular and metabolic features specific to hepatoblastoma and revealed that several glycolytic enzymes are overexpressed in embryonal-like compared to fetal-like tumor cells. This led us to implement successfully three biomarkers to distinguish embryonal from fetal components by immunohistochemistry from a large panel of human hepatoblastoma samples. Functional analyses demonstrated that embryonal-like hepatoblastoma cells are highly glycolytic and sensitive to hexokinase-1 silencing. Altogether, our findings reveal a new, metabolic classification of human hepatoblastoma, with potential future implications for patients' diagnosis and treatment.

Mutant  and histological heterogeneity define metabolic subtypes of hepatoblastoma.

Metastases and tumor recurrence have a major prognostic impact in head and neck squamous cell carcinoma (HNSCC); however, cellular models that comprehensively characterize metastatic and recurrent HNSCC are lacking. To this end, we obtained genomic, transcriptomic, and copy number profiles of the UM-SCC cell line panel, encompassing patient-matched metastatic and recurrent cells. UM-SCC cells recapitulate the most prevalent genomic alterations described in HNSCC, featuring common TP53, PI3K, NOTCH, and Hippo pathway mutations. This analysis identified a novel F977Y kinase domain PIK3CA mutation exclusively present in a recurrent cell line (UM-SCC14B), potentially conferring resistance to PI3K inhibitors. Small proline-rich protein 2A (SPRR2A), a protein involved in epithelial homeostasis and invasion, was one of the most consistently downregulated transcripts in metastatic and recurrent UM-SCC cells. Assessment of SPRR2A protein expression in a clinical cohort of patients with HNSCC confirmed common SPRR2A downregulation in primary tumors (61.9% of cases) and lymph node metastases (31.3%), but not in normal tissue. High expression of SPRR2A in lymph node metastases was, along with nonoropharyngeal location of the primary tumor, an independent prognostic factor for regional disease recurrence after surgery and radiotherapy (HR 2.81; 95% CI, 1.16-6.79;  = 0.02). These results suggest that SPRR2A plays a dual role in invasion and therapeutic resistance in HNSCC, respectively through its downregulation and overexpression. IMPLICATIONS: The current study reveals translationally relevant mechanisms underlying metastasis and recurrence in HNSCC and represents an adjuvant tool for preclinical research in this disease setting. Underlining its discovery potential this approach identified a PIK3CA-resistant mutation as well as SPRR2A as possible theragnostic markers.

Paolo Angelino

Bioinformatics Core Facility

SIB Swiss Institute of Bioinformatics

Exploring m⁶A and m⁵C Epitranscriptomes upon Viral Infection: an Example with HIV

Paolo Angelino

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Bioinformatics Core Facility

SIB Swiss Institute of Bioinformatics

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

Bioinformatics Core Facility

Exploring m⁶A and m⁵C Epitranscriptomes upon Viral Infection: an Example with HIV