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Biology subjects

Kreutzer, S.

Publications and source records attributed to Kreutzer, S..

8 recordsLinked to original sources

DCLRE1A orchestrates CAG repeat contraction following Cas12a-induced DNA breaks

Despite their well-defined genetic background, repeat expansion diseases (REDs) still represent an unmet medical need, with no causative therapy offered to patients. The strategy of repeat shortening using genome editing tools is very attractive because a single intervention can result in permanent repair of the disease-causing mutation. However, a limited understanding of DNA repair mechanisms in repetitive sequences complicates the prediction and control of the editing effects. Using a CRISPR interference (CRISPRi) screen, we identified pathways and factors responsible for the repair of staggered cuts generated by Cas12a within CAG repeat tracts. This analysis revealed a central role for interstrand crosslink (ICL) repair factors in mediating CAG repeat contraction, with DCLRE1A emerging as a key effector. We demonstrated that DCLRE1A recognizes and binds structures generated by Cas12a. Moreover, DCLRE1A interacts with SLX4, promoting the generation of pure contractions, and with POLI, leading to the formation of inverted repeats at the break site during template switching mechanisms. We then used this knowledge to increase the contribution of pure contractions to the pool of editing outcomes using fusions of Cas12a with DNA repair proteins. Our study indicates that Cas12a can be used as an effective tool for generating repeat contractions. Although the mechanisms leading to repeat shortening are complex, understanding them can help researchers develop more precise therapeutic strategies with greater control of the editing process.

cell biology↗

Integrated Histology and Molecular Profiling of Postmortem Human Auditory and Vestibular Organs via a Poly(Methyl Methacrylate)-Based Workflow

Hearing and balance disorders are the most prevalent sensory impairments, affecting hundreds of millions worldwide, yet their underlying cellular and molecular pathologies remain poorly understood. This knowledge gap stems from the inaccessibility of the ears sensory organs--embedded within the temporal bone (TB), the hardest bone in the body--which cannot be biopsied in living patients without causing irreversible damage. Conventional histopathology workflows rely on postmortem en bloc extraction of TBs, followed by lengthy decalcification, celloidin embedding, and manual serial sectioning of these large specimens--a process that takes one to two years, is labor- and cost-intensive, and lacks compatibility with most modern protein, DNA, and RNA assays. Here, we present a rapid, reversible polymethyl methacrylate (rPMMA) workflow that enables advanced molecular histopathology studies on formalin-fixed, calcified TBs. Our protocol uses low-temperature (-40 {degrees}C to +4 {degrees}C) resin embedding, precision near-serial sectioning (10-50 {micro}m) via femtosecond laser microtomy or precision diamond wire sawing, and subsequent deacrylation to fully restore tissue accessibility for high-fidelity histomorphology, multiplexed immunofluorescence, whole-genome sequencing, and in situ mRNA detection (RNAscope) assays. Compared to the gold-standard celloidin workflow, our method reduces processing time and costs by approximately 90% while integrating equivalent histomorphology with advanced molecular assays, providing a new benchmark for multidimensional studies in human hearing and balance pathologies.

pathology↗

Proximity determines donor candidacy during DNA double-stranded break homology directed repair

DNA double-stranded breaks (DSBs) are especially toxic events that can be reversed by homology-directed repair (HDR), wherein information is copied from an intact template molecule. RAD51 mediates initial DSB/template pairing during homology search. A major challenge in understanding homology search in cells is the lack of tools to monitor this process. We developed RAD51 proximity identification sequencing (RaPID-seq), a sensitive method that marks all candidate templates searched by RAD51. We find that HDR is hierarchical, such that DSB proximity determines template candidacy and subsequent recombination is unlocked by DSB/template homology. Sequences that lie outside the proximal window are not efficiently searched, even if identical in sequence. Our data reveal the invisible process of homology search and shed new light on fundamental mechanisms underlying genome editing.

molecular biology↗

Deep visual multi-omics profiling reveals mechanisms that underly cancer cell differentiation and aggressiveness in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) exhibits significant intra-tumoral heterogeneity (ITH) at both morphological and genetic levels, complicating treatment and contributing to disease progression. Among these, ccRCCs with focal rhabdoid differentiation stand out as highly aggressive tumors distinguished by cells with unique morphological features. However, the correlation between distinct morphological phenotypes, specific molecular alterations, and their influence on tumor behavior remains poorly understood. In this study, we integrated advanced AI-based image analysis with single-cell isolation and multi-omics profiling to dissect the link between clinically relevant morphological and molecular features of ccRCC cells. Using a novel digital pathology workflow, we quantified low-grade, high-grade, and rhabdoid morphologies in ccRCC diagnostic images with unprecedented precision. Subsequently, isolation of two sets of 1,000 morphologically distinct cells for detailed mRNA and protein expression analyses, revealed significant increasing dysregulation associating with higher histopathological grades. Rhabdoid ccRCC cells (grade 4) demonstrated unique molecular profiles, including upregulated FOXM1-driven proliferation, disrupted cell-matrix interactions, and enhanced immune evasion pathways. Despite high T-cell infiltration in rhabdoid areas, we identified a rhabdoid-specific immunosuppressive network driven by cytokines, IFN-beta, and integrin signaling, likely contributing to T-cell exhaustion. Rhabdoid ccRCC cells develop a distinct immunosuppressive signaling network, involving PD-L1 and novel immunomodulatory factors such as CD38 and ITGB2. These findings provide a basis for novel therapeutic strategies targeting these pathways in combination with immunotherapy to improve outcomes for patients with aggressive rhabdoid ccRCC. Key PointsO_LIccRCC is characterized by well-established morphological heterogeneity but the correlation with the underlying molecular aberrations remained elusive. C_LIO_LIBy integrating AI-based image analysis with single cell isolation and deep multi-omics profiling, we dissect the molecular intricacies of ccRCC, from targeted collection of 1,000 morphologically distinct cells. C_LIO_LIOur results demonstrate significant dysregulation of gene and protein expression correlating with higher histopathological grades in ccRCC. C_LIO_LIAggressive ccRCC cells with rhabdoid differentiation (grade 4) display distinct molecular profiles, as they upregulate FOXM1-mediated proliferation, ECM remodeling and the immune evasion responses, suggesting new therapeutic avenues enhancing ICI efficacy in these patients. C_LI

cancer biology↗

Acquired resistance to anti-PD1 therapy in patients with NSCLC reveals changes in T cell phenotypes and MET amplification

The treatment of non-small cell lung cancer (NSCLC) patients with immune checkpoint inhibitors has prolonged their survival dramatically. However, some patients develop resistance after initial response. Here, we used imaging mass cytometry and whole exome and RNA sequencing to analyze matching tumor samples from a cohort of NSCLC patients who initially responded to immune checkpoint inhibitor therapy and later developed acquired resistance. We detected two patterns of resistance: One group of patients had reduced numbers of tumor-infiltrating CD8+ T cells and reduced expression of PD-L1 after development of resistance, whereas the other group showed high CD8+ T cell infiltration and high expression of PD-L1 and markedly elevated expression of other immune-inhibitory molecules. In two cases, we detected downregulation of type I and II IFN pathways after resistance developed, which could lead to an impaired anti-tumor immune response. This study adds to our knowledge of the mechanisms that cause resistance to immunotherapy in NSCLC patients.

cancer biology↗

Treatment of a metabolic liver disease by in vivo prime editing in mice

Prime editing is a highly versatile CRISPR-based genome editing technology with the potential to correct the vast majority of pathogenic mutations (1). However, correction of a disease phenotype in vivo in somatic tissues has not been demonstrated thus far. Here, we establish proof-of-concept for in vivo prime editing and repair the metabolic liver disease phenylketonuria (PKU) in mice. We first developed a size-reduced SpCas9 prime editor (PE) lacking the RNaseH domain of the reverse transcriptase (PE2{Delta}RnH), and a linker- and NLS-optimized intein-split PE construct (PE2 p.1153) for delivery by adeno-associated virus (AAV) vectors. Systemic dual AAV-mediated delivery of this variant into the liver of neonatal mice enabled installation of a transversion mutation at the Dnmt1 locus with an average efficiency of 15%, and delivery of unsplit PE2{Delta}RnH using human adenoviral vector 5 (AdV5) further increased editing rates to 58%. PE2{Delta}RnH-encoding AdV5 was also used to correct the disease-causing mutation of the phenylalanine hydroxylase (Pah)enu2 allele in phenylketonuria (PKU) mice with an average efficiency of 8% (up to 17.3%), leading to therapeutic reduction of blood phenylalanine (L-Phe) levels. Our study demonstrates in vivo prime editing in the liver with high precision and editing rates sufficient to treat a number of metabolic liver diseases, emphasizing the potential of prime editing for future therapeutic applications. One Sentence SummaryIn vivo prime editing corrects phenylketonuria in mice.

genetics↗

The mixed genetic origin of the first farmers of Europe

The precise genetic origins of the first Neolithic farming populations, as well as the processes and the timing of their differentiation, remain largely unknown. Based on demogenomic modeling of high-quality ancient genomes, we show that the early farmers of Anatolia and Europe emerged from a multiphase mixing of a Near Eastern population with a strongly bottlenecked Western hunter-gatherer population after the Last Glacial Maximum. Moreover, the population branch leading to the first farmers of Europe and Anatolia is characterized by a 2,500-year period of extreme genetic drift during its westward range expansion. Based on these findings, we derive a spatially explicit model of the population history of Southwest Asia and Europe during the late Pleistocene and early Holocene. One-Sentence SummaryEarly European farmers emerged from multiple post LGM mixtures and experienced extreme drift during their westward expansion.

evolutionary biology↗

HiDRA-seq: High-Throughput SARS-CoV-2 Detection by RNA Barcoding and Amplicon Sequencing

The recent outbreak of a new coronavirus that causes a Severe Acute Respiratory Syndrome in humans (SARS-CoV-2) has developed into a global pandemic with over 6 million reported cases and more than 375,000 deaths worldwide. Many countries have faced a shortage of diagnostic kits as well as a lack of infrastructure to perform necessary testing. Due to these limiting factors, only patients showing symptoms indicating infection were subjected to testing, whilst asymptomatic individuals, who are widely believed to be responsible for the fast dispersion of the virus, were largely omitted from the testing regimes. The inability to implement high throughput diagnostic and contact tracing strategies has forced many countries to institute lockdowns with severe economic and social consequences. The World Health Organization (WHO) has encouraged affected countries to increase testing capabilities to identify new cases, allow for a well-controlled lifting of lockdown measures, and prepare for future outbreaks. Here, we propose HiDRA-seq, a rapidly implementable, high throughput, and scalable solution that uses NGS lab infrastructure and reagents for population-scale SARS-CoV-2 testing. This method is based on the use of indexed oligo-dT primers to generate barcoded cDNA from a large number of patient samples. From this, highly multiplexed NGS libraries are prepared targeting SARS-CoV-2 specific regions and sequenced. The low amount of sequencing data required for diagnosis allows the combination of thousands of samples in a sequencing run, while reducing the cost to approximately 2 CHF/EUR/USD per RNA sample. Here, we describe in detail the first version of the protocol, which can be further improved in the future to increase its sensitivity and to identify other respiratory viruses or analyze individual genetic features associated with disease progression.

genomics↗