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All RNA viruses deliver their genomes into target host cells through processes distinct from normal trafficking of cellular RNA transcripts. The delivery of viral RNA into most cells hence triggers innate antiviral defenses that recognize viral RNA as foreign. In turn, viruses have evolved mechanisms to subvert these defenses, allowing them to thrive in target cells. Therefore, drugs activating defense to exogenous RNA could serve as broad-spectrum antiviral drugs. Here we show that transcriptional signatures associated with cellular responses to the delivery of a non-viral exogenous RNA sequence into human cells predict small molecules with broad-spectrum antiviral activity. In particular, transcriptional responses to the delivery of Cas9 mRNA into human hematopoietic stem and progenitor cells (HSPCs) highly matches those triggered by small molecules with broad-spectrum antiviral activity such as emetine, homoharringtonine, pyrvinium pamoate and anisomycin, indicating that these drugs are potentially active against other RNA viruses. Furthermore, these drugs have been approved for other indications and could thereby be repurposed to novel viruses. We propose that the antiviral activity of these drugs to SARS-CoV-2 should therefore be determined as they have been shown as active against other coronaviruses including SARS-CoV-1 and MERS-CoV. Indeed, two of these drugs- emetine and homoharringtonine- were independently shown to inhibit SARS-CoV-2 as this article was in preparation. These drugs could also be explored as potential adjuvants to COVID-19 vaccines in development due to their potential effect on the innate antiviral defenses that could bolster adaptive immunity when delivered alongside vaccine antigens.

SummaryVariability in datasets is not only the product of biological processes: they are also the product of technical biases. ComBat is one of the most widely used tool for correcting those technical biases, called batch effects, in microarray expression data.In this technical note, we present a new Python implementation of ComBat. While the mathematical framework is strictly the same, we show here that our implementation: (i) has similar results in terms of batch effects correction; (ii) is as fast or faster than the R implementation of ComBat and; (iii) offers new tools for the bioinformatics community to participate in its development.Availability and ImplementationpyComBat is implemented in the Python language and is available under GPL-3.0 (https://www.gnu.org/licenses/gpl-3.0.en.html) license at https://github.com/epigenelabs/pyComBat and https://pypi.org/project/combat/.Contactakpeli@epigenelabs.com

International audience; Cancer and malaria exemplify two maladies historically assigned to separated research spaces. Cancer, on the one hand, ranks among the top priorities in the research agenda of developed countries. Its rise is mostly explained by the ageing of these populations and linked to environment and lifestyle. Malaria, on the other hand, represents a major health burden for developing countries in the Southern Hemisphere. These two diseases also belong to separate fields of medicine: non-communicable diseases for cancer and communicable diseases for malaria.

Cromer et al. recently reported global transcriptional changes occuring in cells in response to CRISPR/Cas9 gene editing. Using a CD34+ hematopoietic and progenitor stem cell model, they observed differentially expressed genes enriched for key cellular pathways following treatment with a CRISPR/Cas9-AAV6 genome-editing system. We hypothesized that beyond enrichment for these cellular pathways, transcriptional response associated with CRISPR/Cas9 gene editing machinery could potentially bear similarities to transcriptional responses associated with specific small molecules or drugs. To test our hypothesis, we used the next generation Connectivity Map, and found that transcriptional responses to several small molecule perturbations and CRISPR/Cas9-AAV6 editing machinery show close similarities. While previous studies have suggested a number of small molecules that could modulate CRISPR/Cas9 gene editing, the results presented here suggest that additional small molecules with a similar effect may be predicted using transcriptional data. In conclusion, transcriptional responses to genome editing components could potentially be used to predict small molecules that modulate CRISPR/Cas9 editing and may be applicable in a combination, hybrid therapeutic approach in which small molecules are administered concomitantly with gene editing machinery.

BackgroundThe placenta relies on phenotypes that are characteristic of cancer to successfully implant the embryo in the uterus during early pregnancy. Notably, it has to invade its host tissues, promote angiogenesis, while surviving hypoxia, and escape the immune system. Similarities in DNA methylation patterns between the placenta and cancers suggest that common epigenetic mechanisms may be involved in regulating these behaviors.ResultsWe show here that megabase-scale patterns of hypomethylation distinguish first from third trimester chorionic villi in the placenta, and that these patterns mirror those that distinguish many tumors from corresponding normal tissues. We confirmed these findings in villous cytotrophoblasts isolated from the placenta and identified a time window at the end of the first trimester, when these cells come into contact with maternal blood as the likely time period for the methylome alterations. Furthermore, the large genomic regions affected by these patterns of hypomethylation encompass genes involved in pathways related to epithelial-mesenchymal transition (EMT), immune response and inflammation. Analyses of expression profiles corresponding to genes in these hypomethylated regions in colon adenocarcinoma tumors point to networks of differentially expressed genes previously implicated in carcinogenesis and placentogenesis, where nuclear factor kappa B (NF-kB) is a key hub.ConclusionTaken together, our results suggest the existence of epigenetic switches involving large-scale changes of methylation in the placenta during pregnancy and in tumors during neoplastic transformation. The characterization of such epigenetic switches might lead to the identification of biomarkers and drug targets in oncology as well as in obstetrics and gynecology.

International audience; The placenta relies on phenotypes that are characteristic of cancer to successfully implant the embryo in the uterus during early pregnancy. Notably, it has to invade its host tissues, promote angiogenesis—while surviving hypoxia—, and escape the immune system. Similarities in DNA methylation patterns between the placenta and cancers suggest that common epigenetic mechanisms may be involved in regulating these behaviors. We show here that megabase-scale patterns of hypomethylation distinguish first from third trimester chorionic villi in the placenta, and that these patterns mirror those that distinguish many tumors from corresponding normal tissues. We confirmed these findings in villous cytotrophoblasts isolated from the placenta and identified a time window at the end of the first trimester, when these cells come into contact with maternal blood, as the likely time period for the methylome alterations. Furthermore, the large genomic regions affected by these patterns of hypomethylation encompass genes involved in pathways related to epithelial-mesenchymal transition, immune response, and inflammation. Analyses of expression profiles corresponding to genes in these hypomethylated regions in colon adenocarcinoma tumors point to networks of differentially expressed genes previously implicated in carcinogenesis and placentogenesis, where nuclear factor kappa B is a key hub. Taken together, our results suggest the existence of epigenetic switches involving large-scale changes of methylation in the placenta during pregnancy and in tumors during neoplastic transformation. The characterization of such epigenetic switches might lead to the identification of biomarkers and drug targets in oncology as well as in obstetrics and gynecology.

International audience; Background: The sequence of the beta-subunit of human chorionic gonadotropin (hCG beta varies depending on whether hCG beta is encoded by type I or type II genes. Type II genes are upregulated in trophoblast and cancer but hCG beta can be detected in the serum of nonpregnant women and healthy individuals. We aimed to determine whether monoclonal antibody (mAb) FBT11-II specifically detects hCG beta encoded by type II genes (type II hCG beta). Methods: Competitive inhibition assays with synthetic peptides, immunocytochemical and immunohistochemical studies, type II hCG beta dosing immunoassays and sequencing of CGB genes were performed. Results: Competitive inhibition assays determined that mAb FBT11-II recognizes the type II hCG beta derived peptide. CGB mRNA sequencing of JEG-3 (trophoblastic) and 124 (bladder) cell lines confirmed that JEG-3 expresses type II genes while T24 expresses exclusively type I. FBT11-II only recognizes JEG-expressed hCG beta. Placenta immunohistochemical studies confirmed that type II hCG beta expression is restricted to the syncytiotrophoblast. Immunoassays detected type II hCG beta in serum of patients with either nontrophoblastic cancers or fetal Down syndrome. Conclusion: Type II gene expression can be detected using FBT11-II. This specific recognition could improve the clinical usefulness of assays aimed at either managing aggressive tumors or screening for Down syndrome.

Identifying common patterns of regulation in cancer and placental cells might shed new light on cellular programs allowing aggressive tumor development. Indeed, as it has been described for the first time more than a century ago, cancer and placental cells (trophoblasts) share astonishingly similar phenotypes : migration and invasion, immune escape, and angiogenesis induction. These common phenotypes, relying on common genomic sequences and transcriptomic profiles, may result from a shared epigenomic regulation program. This might be especially true for tumor cells leading eventually to metastasis and cytotrophoblasts (a trophoblasts subset) during placental implantation at the beginning of pregnancy. In order to investigate such common epigenomic patterns, we carried out comparisons of DNA methylation in cancer and placental cell genomes. This study involved: cancer samples (primary tumor vs. normal tissue) across various tissues (including breast, colon, liver, lung, prostate, thyroid, uterus), on one hand; and placenta samples (early vs. late term) either heterogeneous (chorionic villi) or homogenous (ex vivo cytotrophoblasts), on the other hand. Cancer data were data downloaded from The Cancer Genome Atlas web portal. Placenta data were downloaded from the Gene Expression Omnibus web portal. In addition, our group generated original data from ex vivo cytotrophoblasts samples. All data were generated on the Illumina Infinium 450K array. Data analysis was carried out thanks to computational methods for epigenomics recently described. This first direct comparison of cancer and placental cells epigenomes, leveraging both published data and original data, led to the identification of large hypomethylated blocks common to cancer and placental cells. Such common patterns have recently been described as a universal defining epigenetic alteration in human solid tumors. These megabase-scale DNA methylation marks differentiate primary tumors from normal tissues. Likewise, they differentiate early term placentas from late term placentas. Moreover, genes belonging to genomic regions displaying common large hypomethylated blocks overlapping in cancers and placentas are enriched for pathways involved in migration and invasion, immune escape, and angiogenesis induction. Common DNA methylation patterns in cancer and placental cells identified in this pilot study might contribute to the epigenomic regulation of cellular programs allowing aggressive tumor development. Further analyses of these common patterns, as well as analyses of differences in cancer and placental cell epigenomes, could eventually lead to the identification of critical epigenomic switches that prevent healthy placentas to degenerate into tumors, while they allow aggressive tumors to develop. Ultimately, such epigenomic switches could also represent innovative targets in oncology. Citation Format: Akpeli V. Nordor, Sophie Richon, Thierry Fournier, Dominique Bellet, Virginie Dangles-Marie, Martin J. Aryee. Common DNA methylation patterns in cancer and placental cells involved in migration and invasion, immune escape, and angiogenesis induction. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2762.