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Immature dendritic cells (iDCs) migrate in microenvironments with distinct cell and extracellular matrix densities in vivo and contribute to HIV-1 dissemination and mounting of antiviral immune responses. Here, we find that, compared to standard 2D suspension cultures, 3D collagen as tissue-like environment alters iDC properties and their response to HIV-1 infection. iDCs adopt an elongated morphology with increased deformability in 3D collagen at unaltered activation, differentiation, cytokine secretion, or responsiveness to LPS. While 3D collagen reduces HIV-1 particle uptake by iDCs, fusion efficiency is increased to elevate productive infection rates due to elevated cell surface exposure of the HIV-1-binding receptor DC-SIGN. In contrast, 3D collagen reduces HIV transfer to CD4 T cells from iDCs. iDC adaptations to 3D collagen include increased pro-inflammatory cytokine production and reduced antiviral gene expression in response to HIV-1 infection. Adhesion to a 2D collagen matrix is sufficient to increase iDC deformability, DC-SIGN exposure, and permissivity to HIV-1 infection. Thus, mechano-physical cues of 2D and 3D tissue-like collagen environments regulate iDC function and shape divergent roles during HIV-1 infection.

Data availability: The databases generated during an/or analysed during the current study are available from the corresponding author on reasonable request. Copyright © The Author(s) 2022. Lentiviral vectors (LV) are attractive for permanent and effective gene therapy. However, integration into the host genome can cause insertional mutagenesis highlighting the importance of understanding of LV integration. Insertion site (IS) tethering is believed to involve cellular proteins such as PSIP1/LEDGF/p75, which binds to the virus pre-integration complexes (PICs) helping to target the virus genome. Transcription factors (TF) that bind both the vector LTR and host genome are also suspected influential to this. To determine the role of TF in the tethering process, we mapped predicted transcription factor binding sites (pTFBS) near to IS chosen by HIV-1 LV using a narrow 20 bp window in infected human induced pluripotent stem cells (iPSCs) and their hepatocyte-like cell (HLC) derivatives. We then aligned the pTFBS with these sequences found in the LTRs of native and self-inactivated LTRs. We found significant enrichment of these sequences for pTFBS essential to HIV-1 life cycle and virus survival. These same sites also appear in HIV-1 patient IS and in mice infected with HIV-1 based LV. This in silco data analysis suggests pTFBS present in the virus LTR and IS sites selected by HIV-1 LV are important to virus survival and propagation. NC3Rs CRACK IT Challenge 21: InMutagene award, sponsored by GSK and Novartis.

Regulatory CD4+ T cells (Treg) prevent tumor clearance by conventional T cells (Tconv) comprising a major obstacle of cancer immune-surveillance. Hitherto, the mechanisms of Treg repertoire formation in human cancers remain largely unclear. Here, we analyze Treg clonal origin in breast cancer patients using T-Cell Receptor and single-cell transcriptome sequencing. While Treg in peripheral blood and breast tumors are clonally distinct, Tconv clones, including tumor-antigen reactive effectors (Teff), are detected in both compartments. Tumor-infiltrating CD4+ cells accumulate into distinct transcriptome clusters, including early activated Tconv, uncommitted Teff, Th1 Teff, suppressive Treg and pro-tumorigenic Treg. Trajectory analysis suggests early activated Tconv differentiation either into Th1 Teff or into suppressive and pro-tumorigenic Treg. Importantly, Tconv, activated Tconv and Treg share highly-expanded clones contributing up to 65% of intratumoral Treg. Here we show that Treg in human breast cancer may considerably stem from antigen-experienced Tconv converting into secondary induced Treg through intratumoral activation., The mechanisms that shape the regulatory T cell repertoire in patients with cancer are not completely understood. Here, the authors observe that, in breast cancer patients, tumor-resident regulatory T cells do not show clonal relationship with their circulating counterpart, but share a common origin with intratumoral antigen-experienced conventional T cells.

The global outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection causing coronavirus disease 2019 (COVID-19) reached over two million confirmed cases worldwide, and numbers are still growing at a fast rate. The majority of new infections are now being reported outside of China, where the outbreak officially originated in December 2019 in Wuhan. Despite the wide outbreak of the infection, a remarkable asymmetry is observed in the number of cases and in the distribution of the severity of the COVID-19 symptoms in patients with respect to the countries/regions. In the early stages of a new pathogen outbreak, it is critical to understand the dynamics of the infection transmission, in order to follow contagion over time and project the epidemiological situation in the near future. While it is possible to reason that observed variation in the number and severity of cases stem from the initial number of infected individuals, the difference in the testing policies and social aspects of community transmissions, the factors that could explain high discrepancy in areas with a similar level of healthcare still remain unknown. Here we introduce a binary classifier based on an artificial neural network that can help in explaining those differences and that can be used to support the design of containment policies. We propose that air pollutants, and specifically particulate matter (PM) 2.5 and ozone, are oppositely related with the SARS-CoV-2 infection frequency and could serve as surrogate markers to complement the infection outbreak anticipation.

In vivo reprogramming of somatic cells into induced pluripotent stem cells (iPSC) holds vast potential for basic research and regenerative medicine. However, it remains hampered by a need for vectors to express reprogramming factors (Oct-3/4, Klf4, Sox2, c-Myc; OKSM) in selected organs. Here, we report OKSM delivery vectors based on pseudotyped Adeno-associated virus (AAV). Using the AAV-DJ capsid, we could robustly reprogram mouse embryonic fibroblasts with low vector doses. Swapping to AAV8 permitted to efficiently reprogram somatic cells in adult mice by intravenous vector delivery, evidenced by hepatic or extra-hepatic teratomas and iPSC in the blood. Notably, we accomplished full in vivo reprogramming without c-Myc. Most iPSC generated in vitro or in vivo showed transcriptionally silent, intronic or intergenic vector integration, likely reflecting the increased host genome accessibility during reprogramming. Our approach crucially advances in vivo reprogramming technology, and concurrently facilitates investigations into the mechanisms and consequences of AAV persistence., In vivo reprogramming of somatic cells is hampered by the need for vectors to express the OKSM factors in selected organs. Here the authors report new AAV-based vectors capable of in vivo reprogramming at low doses.

Recombinant adeno-associated viral vectors (rAAV) currently constitute a real therapeutic strategy for the sustained correction of diverse genetic conditions. Though a wealth of preclinical and clinical studies have been conducted with rAAV, the oncogenic potential of these vectors is still controversial, particularly when considering liver-directed gene therapy. Few preclinical studies and the recent discovery of incomplete wild-type AAV2 genomes integrated in human hepatocellular carcinoma biopsies have raised concerns on rAAV safety. In the present study, we have characterized the integration of both complete and partial rAAV2/5 genomes in nonhuman primate tissues and clinical liver biopsies from a trial aimed to treat acute intermittent porphyria. We applied a new multiplex linear amplification-mediated polymerase chain reaction (PCR) assay capable of detecting integration events that are originated throughout the rAAV genome. The integration rate was low both in nonhuman primates and patient's samples. Importantly, no integration clusters or events were found in genes previously reported to link rAAV integration with hepatocellular carcinoma development, thus showing the absence of genotoxicity of a systemically administered rAAV2/5 in a large animal model and in the clinical context.

HIV-1 recurrently targets active genes that are positioned in the outer shell of the nucleus and integrates in the proximity of the nuclear pore compartment. However, the genomic features of these genes and the relevance of their transcriptional activity for HIV-1 integration have so far remained unclear. Here we show that recurrently targeted genes are delineated with super-enhancer genomic elements and that they cluster in specific spatial compartments of the T cell nucleus. We further show that these gene clusters acquire their location at the nuclear periphery during the activation of T cells. The clustering of these genes along with their transcriptional activity are the major determinants of HIV-1 integration in T cells. Our results show for the first time the relevance of the spatial compartmentalization of the genome for HIV-1 integration, thus further strengthening the role of nuclear architecture in viral infection.

With next-generation sequencing, the genomic data available for the characterization of integration sites (IS) has dramatically increased. At present, in a single experiment, several thousand viral integration genome targets can be investigated to define genomic hot spots. In a previous article, we renovated a formal CIS analysis based on a rigid fixed window demarcation into a more stretchy definition grounded on graphs. Here, we present a selection of supporting data related to the graph-based framework (GBF) from our previous article, in which a collection of common integration sites (CIS) was identified on six published datasets. In this work, we will focus on two datasets, ISRTCGD and ISHIV, which have been previously discussed. Moreover, we show in more detail the workflow design that originates the datasets.

High-throughput integration site (IS) analysis of wild-type adeno-associated virus type 2 (wtAAV2) in human dermal fibroblasts (HDFs) and HeLa cells revealed that juxtaposition of a Rep binding site (RBS) and terminal resolution site ( trs )-like motif leads to a 4-fold-increased probability of wtAAV integration. Electrophoretic mobility shift assays (EMSAs) confirmed binding of Rep to off-target RBSs. For the first time, we show Rep protein off-target nicking activity, highlighting the importance of the nicking substrate for Rep-mediated integration.

Genes that regulate hematopoietic stem cell (HSC) self-renewal, proliferation, and differentiation are tightly controlled by regulatory regions. However, mapping such regions relies on surface markers and immunophenotypic definition of HSCs. Here, we use γ-retroviral integration sites (γRV ISs) from a gene therapy trial for 10 patients with Wiskott-Aldrich syndrome to mark active enhancers and promoters in functionally defined long-term repopulating HSCs. Integration site clusters showed the highest ATAC-seq signals at HSC-specific peaks and strongly correlated with hematopoietic risk variants. Tagged genes were significantly enriched for HSC gene sets. We were able to map over 3,000 HSC regulatory regions in late-contributing HSCs, and we used these data to identify miR-10a and miR-335 as two miRNAs regulating early hematopoiesis. In this study, we show that viral insertion sites can be used as molecular tags to assess chromatin conformation on functionally defined cell populations, thereby providing a genome-wide resource for regulatory regions in human repopulating long-term HSCs.

Lentiviral vectors hold great promise for the genetic correction of various inherited diseases. However, lentiviral vector biology is still not completely understood and warrants the precise decoding of molecular mechanisms underlying integration and post-translational modification. This study investigated a series of self-inactivating (SIN) and full long terminal repeat (LTR) lentiviral vectors that contained different types of promoters with or without a transgene to gain deeper insights in lentiviral target site selection and potential perturbation of cellular gene expression. Using an optimized nonrestrictive linear amplification-mediated polymerase chain reaction (nrLAM-PCR) protocol, vector structure-dependent integration site profiles were observed upon transduction of mouse lin

A previously published clinical trial demonstrated the benefit of autologous CD34 + cells transduced with a selfinactivating lentiviral vector (HPV569) containing an engineered β-globin gene (β A-T87Q -globin) in a subject with β thalassemia major. This vector has been modified to increase transduction efficacy without compromising safety. In vitro analyses indicated that the changes resulted in both increased vector titers (3 to 4 fold) and increased transduction efficacy (2 to 3 fold). An in vivo study in which 58 β-thalassemic mice were transplanted with vector- or mock-transduced syngenic bone marrow cells indicated sustained therapeutic efficacy. Secondary transplantations involving 108 recipients were performed to evaluate long-term safety. The six month study showed no hematological or biochemical toxicity. Integration site (IS) profile revealed an oligo/polyclonal hematopoietic reconstitution in the primary transplants and reduced clonality in secondary transplants. Tumor cells were detected in the secondary transplant mice in all treatment groups (including the control group), without statistical differences in the tumor incidence. Immunohistochemistry and quantitative PCR demonstrated that tumor cells were not derived from transduced donor cells. This comprehensive efficacy and safety data provided the basis for initiating two clinical trials with this second generation vector (BB305) in Europe and in the USA in patients with β-thalassemia major and sickle cell disease.

High-throughput sequencing technologies have exposed the possibilities for the in-depth evaluation of T-cell receptor (TCR) repertoires. These studies are highly relevant to gain insights into human adaptive immunity and to decipher the composition and diversity of antigen receptors in physiological and disease conditions. The major objective of TCR sequencing data analysis is the identification of V, D and J gene segments, complementarity-determining region 3 (CDR3) sequence extraction and clonality analysis. With the advancement in sequencing technologies, new TCR analysis approaches and programs have been developed. However, there is still a deficit of systematic comparative studies to assist in the selection of an optimal analysis approach. Here, we present a detailed comparison of 10 state-of-the-art TCR analysis tools on samples with different complexities by taking into account many aspects such as clonotype detection [unique V(D)J combination], CDR3 identification or accuracy in error correction. We used our in silico and experimental data sets with known clonalities enabling the identification of potential tool biases. We also established a new strategy, named clonal plane, which allows quantifying and comparing the clonality of multiple samples. Our results provide new insights into the effect of method selection on analysis results, and it will assist users in the selection of an appropriate analysis method.

Combining high-coverage whole-genome sequencing with functional analyses, Giessler et al. demonstrate that tumor initiation and long-term tumor formation in human colorectal cancer are driven by multiple genomic subclones and that the functional heterogeneity of colorectal cancer tumor clone–initiating cells is not based on genomic architecture., A hierarchically organized cell compartment drives colorectal cancer (CRC) progression. Genetic barcoding allows monitoring of the clonal output of tumorigenic cells without prospective isolation. In this study, we asked whether tumor clone-initiating cells (TcICs) were genetically heterogeneous and whether differences in self-renewal and activation reflected differential kinetics among individual subclones or functional hierarchies within subclones. Monitoring genomic subclone kinetics in three patient tumors and corresponding serial xenografts and spheroids by high-coverage whole-genome sequencing, clustering of genetic aberrations, subclone combinatorics, and mutational signature analysis revealed at least two to four genetic subclones per sample. Long-term growth in serial xenografts and spheroids was driven by multiple genomic subclones with profoundly differing growth dynamics and hence different quantitative contributions over time. Strikingly, genetic barcoding demonstrated stable functional heterogeneity of CRC TcICs during serial xenografting despite near-complete changes in genomic subclone contribution. This demonstrates that functional heterogeneity is, at least frequently, present within genomic subclones and independent of mutational subclone differences.

Integration site profiling and clonality analysis of viral vector distribution in gene therapy is a key factor to monitor the fate of gene-corrected cells, assess the risk of malignant transformation, and establish vector biosafety. We developed the Genome Integration Site Analysis Pipeline (GENE-IS) for highly time-efficient and accurate detection of next-generation sequencing (NGS)-based viral vector integration sites (ISs) in gene therapy data. It is the first available tool with dual analysis mode that allows IS analysis both in data generated by PCR-based methods, such as linear amplification method PCR (LAM-PCR), and by rapidly evolving targeted sequencing (e.g., Agilent SureSelect) technologies. GENE-IS makes use of trimming strategies, customized reference genome, and soft-clipped information with sequential filtering steps to provide annotated IS with clonality information. It is a scalable, robust, precise, and reliable tool for large-scale pre-clinical and clinical data analysis that provides users complete flexibility and control over analysis with a broad range of configurable parameters. GENE-IS is available at https://github.com/G100DKFZ/gene-is. Keywords: gene therapy, bioinformatical analysis, next-generation sequencing, viral integration sites, LAM-PCR, targeted sequencing

Combining different approaches (resequencing of portions of 54 obesity candidate genes, literature mining for pig markers associated with fat deposition or related traits in 77 genes, and in silico mining of porcine expressed sequence tags and other sequences available in databases), we identified and analyzed 736 SNP within candidate genes to identify markers associated with back fat thickness (BFT) in Italian Large White sows. Animals were chosen using a selective genotyping approach according to their EBV for BFT (276 with most negative and 279 with most positive EBV) within a population of ≈ 12,000 pigs. Association analysis between the SNP and BFT has been carried out using the MAX test proposed for case-control studies. The designed assays were successful for 656 SNP: 370 were excluded (low call rate or minor allele frequency A polymorphism (P(nominal) G polymorphism (P(nominal) = 8.0E-05). The third top SNP (P(nominal) = 6.2E-04) was the intronic TBC1D1 g.219G>A polymorphic site, in agreement with our previous results obtained in an independent study. The list of significant markers also included SNP in additional genes (ABHD16A, ABHD5, ACP2, ALMS1, APOA2, ATP1A2, CALR, COL14A1, CTSF, DARS, DECR1, ENPP1, ESR1, GH1, GHRL, GNMT, IKBKB, JAK3, MTTP, NFKBIA, NT5E, PLAT, PPARG, PPP2R5D, PRLR, RRAGD, RFC2, SDHD, SERPINF1, UBE2H, VCAM1, and WAT). Functional relationships between genes were obtained using the Ingenuity Pathway Analysis (IPA) Knowledge Base. The top scoring pathway included 19 genes with a P(nominal) < 0.1, 2 of which (IKBKB and NFKBIA) are involved in the hypothalamic IKKβ/NFκB program that could represent a key axis to affect fat deposition traits in pigs. These results represent a starting point to plan marker-assisted selection in Italian Large White nuclei for BFT. Because of similarities between humans and pigs, this study might also provide useful clues to investigate genetic factors affecting human obesity.

Unbiased dissection of T-cell receptor (TCR) repertoire diversity at the nucleotide level could provide important insights into human immunity. Here we show that TCR ligation-anchored-magnetically captured PCR (TCR-LA-MC PCR) identifies TCR α- and β-chain diversity without sequence-associated or quantitative restrictions in healthy and diseased conditions. TCR-LA-MC PCR identifies convergent recombination events, classifies different stages of cutaneous T-cell lymphoma in vivo and demonstrates TCR reactivation after in vitro cytomegalovirus stimulation. TCR-LA-MC PCR allows ultra-deep data access to both physiological TCR diversity and mechanisms influencing clonality in all clinical settings with restricted or distorted TCR repertoires., Immune system diversity is generated by V(D)J recombination, leading to clonal T-cell lineages. Here the authors investigate the events leading to T-cell diversity through the use of a modified PCR technique combined with deep sequencing.

For biosafety assessment and the understanding of viral integration mechanisms the determination of the exact position and distribution of viral integration sites in the host genome is crucial. Current methods for mapping of vector insertion sites are based on primer binding within the vector genome, its elongation into the host genome, ligation of a common adapter on the host part, and subsequent PCRs. Thus, these methods depend on the presence of the primer binding site in the viral genome and biases are introduced during restriction digest (if applied), ligation, and PCR. Here, we present results from a targeted sequencing approach (SureSelect, Agilent) in which we enriched for genomic regions including vector sequences. This approach has major advantages over primer based approaches like LAM PCR: •As less PCR cycles are needed, a more quantitative estimation of cell clonality (clones with the sample integration site) should be possible.•Genomic regions that are captured together with the vector allow for relative quantification of vector copies per genome.•Integrations of incomplete vectors (common for adeno-associated vectors) can be detected without the need of specific primers.•As the entire vector is sequenced, mutations within the vector (and transgene) can be detected.Using control samples we defined the sensitivity, background, and dynamic quantitative range of this method. As the entire vector is sequenced, mutations within the vector (and transgene) can be detected. In summary, targeted sequencing provides an important complementary tool to primer based approaches (like LAM-PCR) for mapping of vector/viral integration sites.

With next generation sequencing thousands of virus and viral vector integration genome targets are now under investigation to uncover specific integration preferences and to define clusters of integration, termed common integration sites (CIS), that may allow to assess gene therapy safety or to detect disease related genomic features such as oncogenes.Here, we addressed the challenge to: 1) define the notion of CIS on graph models, 2) demonstrate that the structure of CIS enters in the category of scale-free networks and 3) show that our network approach analyzes CIS dynamically in an integrated systems biology framework using the Retroviral Transposon Tagged Cancer Gene Database (RTCGD) as a testing dataset.

Background Reactivation of latent viruses such as human cytomegalovirus (HCMV) after allogeneic hematopoietic stem cell transplantation (HSCT) results in high morbidity and mortality. Effective immunization against HCMV shortly after allo-HSCT is an unmet clinical need due to delayed adaptive T cell development. Donor-derived dendritic cells (DCs) have a critical participation in stimulation of naïve T cells and immune reconstitution, and therefore adoptive DC therapy could be used to protect patients after HSCT. However, previous methods for ex vivo generation of adoptive donor-derived DCs were complex and inconsistent, particularly regarding cell viability and potency after thawing. We have previously demonstrated in humanized mouse models of HSCT the proof-of-concept of a novel modality of lentivirus-induced DCs (“SmyleDCpp65”) that accelerated antigen-specific T cell development. Methods Here we demonstrate the feasibility of good manufacturing practices (GMP) for production of donor-derived DCs consisting of monocytes from peripheral blood transduced with an integrase-defective lentiviral vector (IDLV, co-expressing GM-CSF, IFN-α and the cytomegalovirus antigen pp65) that were cryopreserved and thawed. Results Upscaling and standardized production of one lot of IDLV and three lots of SmyleDCpp65 under GMP-compliant conditions were feasible. Analytical parameters for quality control of SmyleDCpp65 identity after thawing and potency after culture were defined. Cell recovery, uniformity, efficacy of gene transfer, purity and viability were high and consistent. SmyleDCpp65 showed only residual and polyclonal IDLV integration, unbiased to proto-oncogenic hot-spots. Stimulation of autologous T cells by GMP-grade SmyleDCpp65 was validated. Conclusion These results underscore further developments of this individualized donor-derived cell vaccine to accelerate immune reconstitution against HCMV after HSCT in clinical trials. Electronic supplementary material The online version of this article (doi:10.1186/s12967-015-0599-5) contains supplementary material, which is available to authorized users.

The clinical application of adeno-associated virus vectors (AAVs) is limited because of concerns about AAV integration-mediated tumorigenicity. We performed integration-site analysis after AAV1-LPL(S447X) intramuscular injection in five lipoprotein lipase-deficient subjects, revealing random nuclear integration and hotspots in mitochondria. We conclude that AAV integration is potentially safe and that vector breakage and integration may occur from each position of the vector genome. Future viral integration-site analyses should include the mitochondrial genome.

BACKGROUND: Long-term T-cell survival is pivotal for the development of effective therapeutic approaches against pathogens and cancer, since the success of immunotherapy requires the generation of a robust, safe but also durable immune response. Even if it is established that memory cells can survive and persist for years, little is known about the requirements for their long-term persistence. Suicide gene therapy after T-cell depleted haploidentical hematopoietic stem cell transplantation (haplo-HSCT) provides a unique model to study memory T cells. In this setting, patients receive the post-transplant infusion of donor-derived gene-modified memory T lymphocytes retrovirally transduced to express the Herpes Simples Virus Thymidine Kinase (TK) suicide gene and the DLNGFR selection marker. The presence of a safety switch allows the infusion into patients of a broad T-cell repertoire in the absence of immune suppression, while the surface marker enables unambiguous detection and close monitoring of gene-modified cells circulating in treated patients. In the present work we characterize the immunological profile of a cohort of long-term survivors after suicide gene therapy and we studied the fate of persisting TK cells to shed light on memory T cell dynamics in vivo and to unravel the requirements for long-term persistence directly in humans. RESULTS: We studied 10 adult patients who underwent haplo-HSCT and infusion of suicide-gene modified donor T cells (median dose: 1.9x107 cells/kg, range:1-39.5x106) for high-risk hematologic malignancies between 1995 and 2012. Three out of 10 patients (33%) experienced GvHD early after HSCT; in all cases, ganciclovir (GCV) administration proved effective in abrogating the adverse reaction. At a median follow-up of 7 years (range 2-14), all patients were in complete remission and free of GvHD, and displayed a complete and broad donor-derived immune system characterized by physiological counts of NK cells, B lymphocytes, γδ T cells and naïve and memory CD4+ or CD8+ T cells. TK cells were detected in all patients, at low levels (median=4cells/uL), even in patients treated with GCV. Ex vivo selection of pure TK-cells confirmed the presence of functional transduced cells, thus directly demonstrating the ability of memory T cells to persist for years. Importantly, GCV sensitivity was preserved in long-term persisting TK cells, independently from their differentiation phenotype. Longitudinal follow up revealed that TK cells circulated in patients at stable levels and displayed a conserved phenotype comprising effector memory (TEM), central memory (TCM) and stem memory (TSCM) T cells. The low level of Ki-67 positivity suggested the maintenance of a pool of gene-modified memory cells through homeostatic proliferation. Polyclonality was demonstrated by sequencing among TK cells of thousands of diverse TCRs with a broad usage of V and J alpha and beta genes. The number of TK cells persisting at the longest follow-up did not correlate with the amount of infused cells, but instead with the peak of TK cells measured within the first months after infusion, suggesting that antigen recognition is dominant in driving in vivo expansion and persistence of memory T cells. Accordingly, we documented the persistence of CMV and Flu-specific TK cells only after post-transplant CMV reactivation or after Flu infection. Characterization of TK cell products infused to patients showed that the amount of infused TSCM cells positively correlates with early expansion and long-term persistence of gene-marked cells. By combining sorting of memory T-cell subsets with sequencing of integration sites, TCRα and TCRβ clonal markers, we longitudinally traced T-cell clones from infused products to late follow-up time-points. We showed that although T cells retrieved long-term are enriched in clones originally shared in different memory T-cell subsets, dominant long-term clonotypes preferentially originate from infused TSCM clones, suggesting that TSCM might play a privileged role in the generation of a long-lasting immunological memory. CONCLUSION: In a completely restored immune system, suicide gene-modified donor T cells persist for up to 14 years in treated patients. Long-term persistence of memory T cells is determined by antigen exposure, and by the original phenotype of infused cells, according to a hierarchical model in which TSCM are superior to TCM and TEM/EFF. Disclosures Lambiase: MolMed S.p.A: Employment. Traversari:MolMed S.p.A: Employment. Bordignon:MolMed S.p.A: Membership on an entity's Board of Directors or advisory committees. Bonini:MolMed S.p.A: Consultancy.

Reply to: NGS library preparation may generate artifactual integration sites of AAV vectors

Wiskott-Aldrich syndrome (WAS) is characterized by microthrombocytopenia, immunodeficiency, autoimmunity, and susceptibility to malignancies. In our hematopoietic stem cell gene therapy (GT) trial using a γ-retroviral vector, 9 of 10 patients showed sustained engraftment and correction of WAS protein (WASP) expression in lymphoid and myeloid cells and platelets. GT resulted in partial or complete resolution of immunodeficiency, autoimmunity, and bleeding diathesis. Analysis of retroviral insertion sites revealed >140,000 unambiguous integration sites and a polyclonal pattern of hematopoiesis in all patients early after GT. Seven patients developed acute leukemia [one acute myeloid leukemia (AML), four T cell acute lymphoblastic leukemia (T-ALL), and two primary T-ALL with secondary AML associated with a dominant clone with vector integration at the LMO2 (six T-ALL), MDS1 (two AML), or MN1 (one AML) locus]. Cytogenetic analysis revealed additional genetic alterations such as chromosomal translocations. This study shows that hematopoietic stem cell GT for WAS is feasible and effective, but the use of γ-retroviral vectors is associated with a substantial risk of leukemogenesis.

Over the last two decades, gene therapy has shown rapid advancements as a promising approach to treat genetic diseases by introducing corrected genes into patient cells. Viruses are the most common carriers in the vector-mediated gene therapy. However, integration of viral vectors at undesirable genomic locations can lead to deleterious effects, e.g. insertional mutagenesis. Therefore, an efficient, stable and safe vector system is the major prerequisite for a successful gene therapy. Long term monitoring of the distribution pattern of vector integration sites (IS) is the most feasible strategy to address vector safety and stability concerns.Recent advancements in next generation sequencing technologies have dramatically increased the possibility to generate substantial amount of vector-genome sequencing data for comprehensive IS analysis. An efficient downstream analysis of this data requires automated and fast computational methods. Here, we present Genome Insertion Site (GENIS) pipeline, a suite for time-efficient and reliable analysis of vector-genome junctions. GENIS has been designed to analyze the sequencing data generated from traditional linear amplification mediated PCR (LAM-PCR) based methods and also from new targeted DNA single and paired end sequencing technologies (e.g., Agilent SureSelect). Our suite consists of six basic modules including barcode sorting, quality filtering and adapter trimming, mapping of sequence reads to the reference genome, extraction of soft-clip reads and clustering of IS for subsequent annotation.GENIS is implemented on Linux platform with minimum external software dependencies. Users can adjust the required parameters in the provided configuration file. It takes about 30 minutes for complete processing, starting from raw reads till annotation, of 10 million paired end reads generated by targeted sequencing. In case of LAM-PCR data, 30 million reads are sorted in about 30 minutes (50 different PCR) and time required for rest of processing to obtain annotated IS is also approximately 30 minutes for 15 million reads. Three final files present the conclusion of the analysis process and contain: 1) the information about read ID, chromosome position (genomic IS), vector position (vector IS), sequence, genomic and vector orientation and sequence span; 2) all the clustered IS with their respective sequence count and 3) the annotated IS with respect to nearby genomic features, including gene identifier and gene name, transcription start site, coding region start and end sites etc. Our tool is highly appropriate for in-depth quantitative analysis of biosafety and transduction efficiency of viral vectors.

Chronic granulomatous disease (CGD) is a primary immunodeficiency characterized by impaired antimicrobial activity in phagocytic cells. As a monogenic disease affecting the hematopoietic system, CGD is amenable to gene therapy. Indeed in a phase I/II clinical trial, we demonstrated a transient resolution of bacterial and fungal infections. However, the therapeutic benefit was compromised by the occurrence of clonal dominance and malignant transformation demanding alternative vectors with equal efficacy but safety-improved features. In this work we have developed and tested a self-inactivating (SIN) gammaretroviral vector (SINfes.gp91s) containing a codon-optimized transgene (gp91(phox)) under the transcriptional control of a myeloid promoter for the gene therapy of the X-linked form of CGD (X-CGD). Gene-corrected cells protected X-CGD mice from Aspergillus fumigatus challenge at low vector copy numbers. Moreover, the SINfes.gp91s vector generates substantial amounts of superoxide in human cells transplanted into immunodeficient mice. In vitro genotoxicity assays and longitudinal high-throughput integration site analysis in transplanted mice comprising primary and secondary animals for 11 months revealed a safe integration site profile with no signs of clonal dominance.

A subpopulation of tumor-initiating cells (TIC) drives colorectal cancer (CRC) progression in serial xenotransplantation. Strikingly, the CRC TIC compartment itself is heterogeneous and comprised of a hierarchy of long-term (LT-) TIC, tumor transient amplifying cells (T-TAC) and delayed contributing (DC-) TIC. Whether this functionally heterogeneous TIC compartment is genetically homogenous or whether distinct genetic subclones drive the functional heterogeneity of the TIC compartment is yet unknown. To address this question, we performed high coverage (91-126 fold) whole genome sequencing on primary CRC patient tumors (n = 3), corresponding serially passaged TIC enriched spheroids as well as spheroid derived serial xenografts. Sequenced samples harbored between 22.800 and 232.000 synonymous or non-synonymous single nucleotide variants (SNVs). In addition, all samples contained multiple focal or large-scale somatic copy number alterations (CNAs). Clustering of SNVs as well as subclonal copy numbers from serial xenografts and spheroids were used to define SNV- and CNA-based subpopulations. Next, cellular fractions of identified subpopulations were determined and combined applying maximal parsimony to create models of the minimal number of subclones present in each sample. Using this strategy, we found that multiple subclones were present in each sample analyzed. Subclone heterogeneity was maintained during serial in vitro passaging and serial xenografting. Importantly, tumor initiation in xenografts was driven by at least 3 distinct genetic subclones whose relative contribution dynamically changed over time. Strikingly, in serial samples from the same patients, different genetic subclones grew out in vivo and in vitro. To test whether functional heterogeneity of the TIC compartment is related to the presence of genetic subclones, we assessed the contribution of different TIC subtypes - LT-TIC, T-TAC and DC-TIC - at early and late time points of xenografting using secondary genetic marking. Therefore, 1×10⁁5 cells derived from early and late generation xenografts were transduced with an integrating lentiviral vector, thereby generating a stable barcode-like genetic mark which differs in each transduced cell. Following serial transplantation of transduced cells for 3 mouse generations, tumors were harvested and lentiviral integration sites were determined using highly sensitive LAM-PCR and high-throughput sequencing. Assessing the relative contribution of LT-TIC, T-TAC and DC-TIC revealed that the functional heterogeneity of the TIC compartment was preserved despite profound genetic subclone dynamics in serial xenotransplantation. These results strongly indicate that multiple genetic subclones drive long-term tumor formation and that functional heterogeneity of the CRC TIC compartment is not based on specific genetic subclones. Citation Format: Klara M. Giessler, Kortine Kleinheinz, Gnana Prakash Balasubramanian, Daniel Hübschmann, Taronish D. Dubash Rai, Sebastian D. Dieter, Christine Siegl, Christopher M. Hoffmann, Sarah Weber, Raffaele Fronza, Saira Afzal, Manfred Schmidt, Martin Schneider, Alexis Ulrich, Juergen Weitz, Wilko Weichert, Matthias Schlesner, Benedikt Brors, Claudia R. Ball, Hanno Glimm. Genetic subclone heterogeneity of the human colon cancer initiating cell compartment. [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 910.

In depth study of T-cell receptor (TCR) repertoire, specifically clonal expansion of T cells and diversity of repertoire, can provide invaluable information in various health and diseases states including infection, cancer and genetic disorders etc. Currently, Shannon and Simpson diversity indices used to estimate TCR clonality have certain limitations. These indices are biased either towards total number of different TCR receptor types (richness) or distribution of each clonal type (evenness). We introduced here a new framework for accurate and precise quantification of clonal diversity of TCR cell population that overcomes shortcomings of already available indices. Our concept is based on the generalized form of entropy known as Renyi numbers and two components of diversity, richness and evenness. Based on the Renyi equation, we can prove that at a specific richness value the highest possible evenness obtained cannot go beyond the stated richness value. Plotting richness versus evenness helps to define maximal theoretical polyclonality and monoclonality regions and diversity of sample can be measured by estimating distances of sample from these theoretical bounds. We have validated our method on in-silico data sets and TCR repertoire study. We conclude that our idea of clonal plane and diversity index measurement provides more reliable and robust estimation of immune population diversity. It can prove to be a useful tool for quantitative characterization of TCR repertoire in immunological studies.

Comprehensive analysis of deep sequencing data originating from the newly introduced Targeted Enrichment Sequencing (TES) indicates so far undescribed recombinations within the Inverted Terminal Repeats of recombinant Adeno-Associated Viruses (rAAVs). For the detection of vector integration sites into the host genome we routinely apply LAM-PCR. However, TES, in which we enrich for genomic regions that include vector sequences, has major advantages over LAM-PCR, as it neither depends on the existence of a vector-specific primer binding site (often lost during rAAV integration) nor on a restriction site in the vicinity of the vector insertion site. Furthermore, regions that are captured together with the vector allow for relative quantification of vector copies per genome. As the entire vector can be sequenced by TES, mutations within the vector and transgene can be detected. In summary, we here provide new and so far unpublished information about rAAV integration patterns and show how we optimized TES to become an important complementary tool to primer-based approaches (like LAM-PCR) for mapping of vector/viral integration sites.

Background Advances in biotechnology offer a fast growing variety of high-throughput data for screening molecular activities of genomic, transcriptional, post-transcriptional and translational observations. However, to date, most computational and algorithmic efforts have been directed at mining data from each of these molecular levels (genomic, transcriptional, etc.) separately. In view of the rapid advances in technology (new generation sequencing, high-throughput proteomics) it is important to address the problem of analyzing these data as a whole, i.e. preserving the emergent properties that appear in the cellular system when all molecular levels are interacting. We analyzed one of the (currently) few datasets that provide both transcriptional and post-transcriptional data of the same samples to investigate the possibility to extract more information, using a joint analysis approach. Results We use Factor Analysis coupled with pre-established knowledge as a theoretical base to achieve this goal. Our intention is to identify structures that contain information from both mRNAs and miRNAs, and that can explain the complexity of the data. Despite the small sample available, we can show that this approach permits identification of meaningful structures, in particular two polycistronic miRNA genes related to transcriptional activity and likely to be relevant in the discrimination between gliosarcomas and other brain tumors. Conclusions This suggests the need to develop methodologies to simultaneously mine information from different levels of biological organization, rather than linking separate analyses performed in parallel.

Protein sequence annotation is a major challenge in the postgenomic era. Thanks to the availability of complete genomes and proteomes, protein annotation has recently taken invaluable advantage from cross-genome comparisons. In this work, we describe a new non hierarchical clustering procedure characterized by a stringent metric which ensures a reliable transfer of function between related proteins even in the case of multidomain and distantly related proteins. The method takes advantage of the comparative analysis of 599 completely sequenced genomes, both from prokaryotes and eukaryotes, and of a GO and PDB/SCOP mapping over the clusters. A statistical validation of our method demonstrates that our clustering technique captures the essential information shared between homologous and distantly related protein sequences. By this, uncharacterized proteins can be safely annotated by inheriting the annotation of the cluster. We validate our method by blindly annotating other 201 genomes and finally we develop BAR (the Bologna Annotation Resource), a prediction server for protein functional annotation based on a total of 800 genomes (publicly available at http://microserf.biocomp.unibo.it/bar/).