Potent latency reversal by Tat RNA-containing nanoparticle enables multi-omic analysis of the HIV-1 reservoir.

The development of latency reversing agents that potently reactivate HIV without inducing global T cell activation would benefit the field of HIV reservoir research and could pave the way to a functional cure. Here, we explore the reactivation capacity of a lipid nanoparticle containing Tat mRNA (Tat-LNP) in CD4 T cells from people living with HIV undergoing antiretroviral therapy (ART). When combined with panobinostat, Tat-LNP induces latency reversal in a significantly higher proportion of latently infected cells compared to PMA/ionomycin (≈ 4-fold higher). We demonstrate that Tat-LNP does not alter the transcriptome of CD4 T cells, enabling the characterization of latently infected cells in their near-native state. Upon latency reversal, we identify transcriptomic differences between infected cells carrying an inducible provirus and non-infected cells (e.g. LINC02964, GZMA, CCL5). We confirm the transcriptomic differences at the protein level and provide evidence that the long non-coding RNA LINC02964 plays a role in active HIV infection. Furthermore, p24+ cells exhibit heightened PI3K/Akt signaling, along with downregulation of protein translation, suggesting that HIV-infected cells display distinct signatures facilitating their long-term persistence. Tat-LNP represents a valuable research tool for in vitro reservoir studies as it greatly facilitates the in-depth characterization of HIV reservoir cells' transcriptome and proteome profiles.

Measuring DNA quality by digital PCR using probability calculations.

BACKGROUND: Accurate methods to assess DNA integrity are needed for many biomolecular methods. A multiplex digital PCR (dPCR) method designed for interspaced target sequences can be used to assess sequence integrity of large DNA strands. The ratio of single positive partitions versus double positive partitions is then used to calculate the sheared DNA strands. However, this simple calculation is only valid with low DNA concentration. We here describe a method based on probability calculations which enables DNA quality analysis in a large dynamic range of DNA concentrations. RESULTS: Known DNA integrity percentages were mimicked using artificial double stranded DNA in low, intermediate and high DNA concentration scenarios, respectively 600, 12500 and 30000 copies of DNA per reaction. At low concentrations both methods were similar. However, at the intermediate concentration (12500 copies per reaction) the ratio based method started producing a larger error than the proposed probability calculation method with a mean relative error of 20.7 and 16.7 for the Bruner and the proposed method respectively. At the high concentration (30000 copies per reaction) only the proposed method provided accurate measurements with a mean relative error of 60.9 and 9.3 for the ratio based and the proposed method respectively. Furthermore, while both methods have a bias, it is constant for the proposed method, while it decreases with the integrity of the DNA for the ratio based method. The probability calculation equation was extended to 4 dimensions and a proof of concept experiment was performed, the data suggested that the 4 dimensional equation is valid. SIGNIFICANCE AND NOVELTY: We here validate a method of estimating DNA integrity with dPCR using multiple probe combinations, allowing fast and flexible DNA integrity analysis. Additionally, we extend the method from 2 to 4 plex for more accurate DNA integrity measurements.

Evaluating lncRNA Expression Patterns during HIV-1 Treatment Interruption.

Lately, the interest in long non-coding RNAs (lncRNAs) as potential drug targets and predictive markers in the context of HIV-1 has peaked, but their in vivo expression and regulation remains largely unexplored. Therefore, the present study examined lncRNA expression patterns during a clinical antiretroviral treatment interruption (ATI) trial. Peripheral blood mononuclear cells were isolated from ten patients at four timepoints: prior to ATI, 7-15 days after stop, at viral rebound and 3 months post antiretroviral therapy re-initiation. RNA was extracted and RT-qPCR on five known HIV-1-related lncRNAs (HEAL, MALAT1, NEAT1, GAS5 and NRON) was performed and correlated with HIV-1 and host marker expression. All lncRNAs correlated stronger with interferon stimulated genes (ISGs) than with HIV-1 reservoir and replication markers. However, one lncRNA, HEAL, showed significant upregulation at viral rebound during ATI compared to baseline and re-initiation of therapy (p = 0.0010 and p = 0.0094, respectively), following a similar viral-load-driven expression pattern to ISGs. In vitro knockdown of HEAL caused a significant reduction in HIV-1 infection levels, validating HEAL's importance for HIV-1 replication. We conclude that the HIV-1-promoting lncRNA HEAL is upregulated at viral rebound during ATI, most likely induced by viral cues.

A 3'-end capture sequencing method for high-throughput targeted gene expression profiling.

Molecular phenotyping through shallow 3'-end RNA-sequencing workflows is increasingly applied in the context of large-scale chemical or genetic perturbation screens to study disease biology or support drug discovery. While these workflows enable accurate quantification of the most abundant genes, they are less effective for applications that require expression profiling of low abundant transcripts, like long noncoding RNAs (lncRNAs), or selected gene panels. To tackle these issues, we describe a workflow combining 3'-end library preparation with 3'-end hybrid capture probes and shallow RNA-sequencing for cost-effective, targeted quantification of subsets of (low abundant) genes across hundreds to thousands of samples. To assess the performance of the method, we designed a capture probe set for more than 100 mRNA and lncRNA target genes and applied the workflow to a cohort of 360 samples. When compared to standard 3'-end RNA-sequencing, 3'-end capture sequencing resulted in a more than 200-fold enrichment of target gene abundance while conserving relative intergene and intersample abundances. 3'-end RNA capture sequencing enables accurate targeted gene expression profiling at extremely shallow sequencing depth.

Triplex digital PCR assays for the quantification of intact proviral HIV-1 DNA.

The development of an HIV-1 cure is hampered by the existence of a persistent (latent) reservoir that contains a small proportion of replication-competent intact proviruses which refuels viral replication upon treatment discontinuation. Therefore, an accurate evaluation and quantification of these (intact) proviruses is essential to determine the efficacy of HIV-1 cure strategies which aim to eliminate this reservoir. Here, we present two triplex digital PCR assays which resulted from a combination of two existing methods, the IPDA (a 2-colour digital PCR based method) and Q4PCR assays (4 colour qPCR method), and tested the functionality on a three-colour digital PCR platform. In the present paper, we provide a step-by-step experimental protocol for these triplex digital PCR assays and validate their performance on a latently infected Jurkat cell-line model and HIV-1 patient samples. Our data demonstrates the potential and flexibility of increasing the number of subgenomic regions of HIV-1 within the IPDA to acquire sensitive detection of the HIV-1 reservoir while benefitting from the advantages of a dPCR setup.

Organ-specific genome diversity of replication-competent SARS-CoV-2.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is not always confined to the respiratory system, as it impacts people on a broad clinical spectrum from asymptomatic to severe systemic manifestations resulting in death. Further, accumulation of intra-host single nucleotide variants during prolonged SARS-CoV-2 infection may lead to emergence of variants of concern (VOCs). Still, information on virus infectivity and intra-host evolution across organs is sparse. We report a detailed virological analysis of thirteen postmortem coronavirus disease 2019 (COVID-19) cases that provides proof of viremia and presence of replication-competent SARS-CoV-2 in extrapulmonary organs of immunocompromised patients, including heart, kidney, liver, and spleen (NCT04366882). In parallel, we identify organ-specific SARS-CoV-2 genome diversity and mutations of concern N501Y, T1027I, and Y453F, while the patient had died long before reported emergence of VOCs. These mutations appear in multiple organs and replicate in Vero E6 cells, highlighting their infectivity. Finally, we show two stages of fatal disease evolution based on disease duration and viral loads in lungs and plasma. Our results provide insights about the pathogenesis and intra-host evolution of SARS-CoV-2 and show that COVID-19 treatment and hygiene measures need to be tailored to specific needs of immunocompromised patients, even when respiratory symptoms cease.

Digital Polymerase Chain Reaction for Assessment of Mutant Mitochondrial Carry-over after Nuclear Transfer for In Vitro Fertilization.

BACKGROUND: The quantification of mitochondrial DNA heteroplasmy for the diagnosis of mitochondrial disease or after mitochondrial donation, is performed mainly using next-generation sequencing strategies (NGS). Digital PCR (dPCR) has the potential to offer an accurate alternative for mutation load quantification. METHODS: We assessed the mutation load of 23 low-input human samples at the m.11778 locus, which is associated with Leber's hereditary optic neuropathy (LHON) using 2 droplet digital PCR platforms (Stilla Naica and Bio-Rad QX200) and the standard NGS strategy. Assay validation was performed by analyzing a titration series with mutation loads ranging from 50% to 0.01%. RESULTS: A good concordance in mutation rates was observed between both dPCR techniques and NGS. dPCR established a distinctly lower level of background noise compared to NGS. Minor alleles with mutation loads lower than 1% could still be detected, with standard deviations of the technical replicates varying between 0.07% and 0.44% mutation load. Although no significant systematic bias was observed when comparing dPCR and NGS, a minor proportional bias was detected. A slight overestimation of the minor allele was observed for the NGS data, most probably due to amplification and sequencing errors in the NGS workflow. CONCLUSION: dPCR has proven to be an accurate tool for the quantification of mitochondrial heteroplasmy, even for samples harboring a low mutation load (<1%). In addition, this alternative technique holds multiple benefits compared to NGS (e.g., less hands-on time, more straightforward data-analysis, and a lower up-front capital investment).