In a published case-control study (GSE152075) from SARS-CoV-2-positive (n = 403) and -negative patients (n = 50), we analyzed the response to infection assessing gene expression of host cell receptors and antiviral proteins. The expression analysis associated with reported risk factors for COVID-19 was also assessed. SARS-CoV-2 cases had higher ACE2, but lower TMPRSS2, BSG/CD147, and CTSB expression compared with negative cases. COVID-19 patients' age negatively affected ACE2 expression. MX1 and MX2 were higher in COVID-19 patients. A negative trend for MX1 and MX2 was observed as patients' age increased. Principal-component analysis determined that ACE2, MX1, MX2, and BSG/CD147 expression was able to cluster non-COVID-19 and COVID-19 individuals. Multivariable regression showed that MX1 expression significantly increased for each unit of viral load increment. Altogether, these findings support differences in ACE2, MX1, MX2, and BSG/CD147 expression between COVID-19 and non-COVID-19 patients and point out to MX1 as a critical responder in SARS-CoV-2 infection.

Differential gene expression analysis is widely used to study changes in gene expression profiles between two or more groups of samples (e.g., physiological versus pathological conditions, pre-treatment versus post-treatment, and infected versus non-infected tissues). This protocol aims to identify gene expression changes in a pre-selected set of genes associated with severe acute respiratory syndrome coronavirus 2 viral infection and host cell antiviral response, as well as subsequent gene expression association with phenotypic features using samples deposited in public repositories.

Nuclear transport and vesicle trafficking are key cellular functions involved in the pathogenesis of RNA viruses. Among other pleiotropic effects on virus-infected host cells, ivermectin (IVM) inhibits nuclear transport mechanisms mediated by importins and atorvastatin (ATV) affects actin cytoskeleton-dependent trafficking controlled by Rho GTPases signaling. In this work, we first analyzed the response to infection in nasopharyngeal swabs from SARS-CoV-2-positive and -negative patients by assessing the gene expression of the respective host cell drug targets importins and Rho GTPases. COVID-19 patients showed alterations in KPNA3, KPNA5, KPNA7, KPNB1, RHOA, and CDC42 expression compared with non-COVID-19 patients. An in vitro model of infection with Poly(I:C), a synthetic analog of viral double-stranded RNA, triggered NF-κB activation, an effect that was halted by IVM and ATV treatment. Importin and Rho GTPases gene expression was also impaired by these drugs. Furthermore, through confocal microscopy, we analyzed the effects of IVM and ATV on nuclear to cytoplasmic importin α distribution, alone or in combination. Results showed a significant inhibition of importin α nuclear accumulation under IVM and ATV treatments. These findings confirm transcriptional alterations in importins and Rho GTPases upon SARS-CoV-2 infection and point to IVM and ATV as valid drugs to impair nuclear localization of importin α when used at clinically-relevant concentrations.

In trypanosmatids genes, transcribed by RNA polymerase II do not have canonical promoters and are organized into directional gene clusters that mature into monocistronic transcripts by a co-transcriptional process known as trans-splicing. Even though gene expression is regulated mainly post-transcriptionally, it is currently understood that chromatin and epigenetics are also involved in this regulation. In eukaryotes, specific signals are normally required for the occurrence of an appropriate transcription initiation. Among them, trimethylation of histone H3 in lysine 4 is the most conserved signal normally detected at transcription start sites of actively transcribed genes. Unlike many model organisms, trypanosomes do not have defined promoters. Instead, transcription initiates in a bidirectional manner from dispersed regions coincident with divergent strand switch regions located between directional gene clusters (DGCs) . In T. cruzi , H3K4me3 was observed at the origins of transcription coincident with divergent strand switch regions (dSSRs) in epimastigotes, but it has not been mapped throughout the whole genome at base-pair resolution or in other life stages so far. Here, we set up the CUT&RUN technique for T. cruzi epimastigotes and trypomastigotes. Consistent with a predominant post-transcriptional regulation along the life cycle, we did not find significant differences between life stages. We corroborated that H3K4me3 is enriched at dSSR adjacent to actively expressed DGCs. Moreover, we noticed that this histone mark exhibits different patterns that correlate with the genomic span of the transcription initiation regions and with transcriptional activity. Furthermore, we unveiled that the most actively transcribed DGCs are associated with shorter dSSRs and are located within the core compartment of the genome displaying a more accessible chromatin.

Bone hosts the 88% of Prostate Cancer (PCa) metastases and no curative therapy is currently available for this stage. Arrival of PCa cells to the bone homing organ is accompanied by a metabolic adaptation, which may be mediated by bone secreted factors. Herein, we sought to identify key metabolic genes fueling PCa bone metastasis and soluble factors secreted by bone cells leading to the metabolic rewiring of tumoral cells. By an indirect transwell co-culture system of PCa (PC3) and bone progenitor cells (MC3T3, pre-osteoblasts; or Raw264.7, pre-osteoclasts) we analyzed the transcriptome (RNA-seq) of PC3 cells modulated by soluble factors released from bone precursors. GSEA showed a strong activation of lipid metabolism, including PPAR and PI3K-Akt pathways, fat absorption and digestion. We then performed a Principal Component Analysis using transcriptomic data from human PCa and bone metastasis samples (GSE74685), showcasing that those metabolic genes that appeared significantly dysregulated in the co-culture model could accurately cluster samples by their tissue of origin in two defined groups: primary PCa and bone metastasis. This result was confirmed by an unsupervised clustering analysis, highlighting that the transcriptional metabolic profile triggered in the in vitro model has a clinical correlate in human bone metastasis samples. Interestingly, when performing a survival analysis for those genes in the SU2C-PCF dataset, we observed that 4 lipid-associated genes, PPARA, VDR, SLC16A1 and GPX1, correlated with a shorter overall survival time, and appeared as independent risk-predictors of death (HR: 4.96, 2.85, 3.93 and 3.67, respectively; P<0.05). These results prompted us to evaluate the communication axis by which the expression of the lipid transcriptomic signature is regulated in PC3 cells co-cultured with bone progenitor cells. We performed an Ingenuity Pathway Analysis (QIAGEN) showing that the tumoral Protein Kinase A (PKA) appears as a master regulator of this signature. Accordingly, when we treated PC3 cells with the conditioned media (CM) of PC3 grown alone or the co-culture, we observed a decreased ATP content in the latter compared with controls, which is restored upon PKA inhibition, confirming the role of this kinase in the metabolic phenotype of co-cultured cells. Finally, secretome analysis (ESI-MS/MS) of CM from the co-cultures displayed relevant soluble factors secreted by bone progenitors (Col1a1, Fn1) which are directly linked to PKA activity. Overall, we identified an early lipid-related gene signature in PCa cells triggered by the dialogue with bone cells, enough to discriminate metastatic human PCa from primary tumors and critical for PCa survival. This signature may respond to released soluble bone factors through tumoral cell PKA activation. Our findings pinpoint new attractive metabolic druggable targets to halt disease progression. Citation Format: Pablo Sanchis, Nicolas Anselmino, Rosario Lavignolle, Agustina Sabater, Estefania Labanca, Juan Bizzotto, Sofia Lage-Vickers, Gaston Pascual, Rocio Seniuk, Ayelen Toro, Nora Navone, Javier Cotignla, Elba Vazquez, Geraldine Gueron. Early metabolic rewiring of prostate cancer cells triggered by bone progenitors defines survival of metastatic prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2374.

The unfolded protein response (UPR) is a stress-adaptation pathway and therapeutic target in cancer, yet its pro-survival versus pro-death outcome is difficult to predict because the three ER sensors, PERK, IRE1α, and ATF6, are highly interconnected. Transcriptomic analyses identified sensor-specific gene signatures associated with patient survival across malignancies, and indicated that low IRE1α activity (low XBP1 signature or higher expression of RIDD targets) correlates with improved outcome. We developed SNUPR (single nuclei analysis of the unfolded protein response), an accessible flow cytometry approach that profiles all three branches in nuclear suspensions. SNUPR reveals marked heterogeneity of UPR activation across cancer cell lines that cannot be inferred from sensor expression. This heterogeneity is derived from differences in the strength and duration of PERK-mediated translational inhibition, which gates downstream translation-dependent IRE1α and ATF6 transcriptional programs. Finally, in multiple myeloma, we show that bortezomib-tolerant cells depend on IRE1α activity for survival, linking UPR state to proteasome-inhibitor resistance and positioning SNUPR to guide branch-selective targeting.