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Kaulich, M.

Publications and source records attributed to Kaulich, M..

14 recordsLinked to original sources

Integrative enhancer discovery identifies functional enhancer dependencies in pediatric acute myeloid leukemia

Pediatric acute myeloid leukemia (AML) is driven by aberrant transcriptional programs sustained by poorly defined cis-regulatory mechanisms. To systematically identify functional enhancer dependencies, we developed an integrative enhancer discovery strategy that combines H3K27ac CUT&Tag profiling, enhancer-associated transcription, and CRISPR interference (CRISPRi) screening. By leveraging enhancer-associated transcription to prioritize candidate regulatory elements, we identified 321 leukemia-associated enhancers for functional interrogation. This approach uncovered the hematopoietic MYB enhancer (H-ME) within the HBS1L-MYB-AHI1 locus as a critical regulator of leukemic growth. H-ME repression reduced chromatin accessibility and active histone marks at the MYB promoter, suppressed MYB expression, and induced differentiation-associated transcriptional programs. In contrast, selective depletion of the enhancer-associated transcript had no effect on MYB expression or leukemic proliferation, demonstrating that enhancer activity resides within the underlying regulatory DNA element rather than its mature RNA product. H-ME exhibited preferential activity in megakaryocytic leukemia, and its perturbation impaired leukemic growth in primary patient-derived models in vitro and in vivo. Together, our findings establish an integrative framework for the systematic discovery of functional enhancer dependencies and identified H-ME as an RNA-independent regulator of MYB in pediatric AML.

cancer biology↗

Single-Cell Mapping of tRNA Expression Dynamics Across Human Hematopoiesis

How transfer RNA (tRNA) expression changes as hematopoietic stem cells are specified into human blood cell types remains unknown. tRNAs translate the 64-codon genetic code into the 21-amino acid protein code, and their relative abundance can influence proteomic output. Here, we introduce simultaneous single-cell tRNA and mRNA sequencing (sc-STM-seq), a scalable, high-throughput approach for profiling tRNAs alongside mRNA transcriptomes in individual cells. Applying sc-STM-seq to human bone marrow, we map tRNA expression and splicing across hematopoietic differentiation trajectories and identify tRNAs associated with stemness, differentiation, and specific cell lineages. Our study provides an atlas of the hematopoietic tRNA landscape and establishes tRNA expression as a previously underappreciated layer of cellular heterogeneity during human blood cell development.

cell biology↗

Genome-scale mapping of variant, enhancer and gene function in primary human CD4+ T cells

CD4+ T cells harbor a disproportionate enrichment of immune disease risk loci and represent the primary cellular context for immune disease biology, yet the genes and regulatory programs these variants affect remain largely unknown. We combined targeted Perturb-seq of 1,032 cis-regulatory elements (CREs) overlapping 4,724 variants across 14 immune diseases with genome-wide Perturb-seq of all expressed genes in primary human CD4+ T cells, spanning 4.1 million cells. We identified 626 CRE-gene pairs, and connected CRE targets to downstream regulatory cascades. At the TYK2 and DEXI/CLEC16A loci, we resolved target genes and linked noncoding variants to inflammatory and metabolic programs. Across diseases, we revealed that dispersed variants converged on shared and disease-specific programs. Our work provides a framework for tracing variant-to-CRE-to-gene-to-network in disease-relevant primary cells.

genetics↗

Centrosome architecture and m6A-dependent gating of p53 surveillanceafter whole-genome doubling

Whole-genome doubling (WGD) generates a tetraploid state that challenges cellular homeostasis and is strongly selected against in TP53-proficient contexts. Although centrosome amplification serves as a structural correlate of genome doubling, how centrosomal features engage and sustain p53 surveillance remains incompletely understood. Here, we develop a genetically encoded MDM2-based fluorescent reporter to monitor Caspase-2 pathway activation in living cells after WGD. Combining pharmacological profiling and genome-wide CRISPR screening, we uncover a multi-layered regulation of p53 responses. We identify PLK1-dependent centriole maturation and subdistal appendage integrity as architectural determinants of PIDDosome-dependent Caspase-2 activation, independent of distal appendage assembly. We show that upon WGD, Caspase-2-mediated cleavage of MDM2 reshapes the p53-MDM2 regulatory loop, enabling sustained p53 signaling. This sustained output depends on the catalytic activity of METTL3 and associated m6A writer proteins. Together, these findings demonstrate that centrosome architecture and epitranscriptomic regulation cooperate to shape p53 surveillance after genome doubling. HighlightsO_LIWhole-genome doubling creates a surveillance state sensed by centrosome cluster architecture. C_LIO_LICaspase-2 activation converts the p53-MDM2 loop from negative to positive feedback. C_LIO_LIm6A methylation establishes competence of the p53 module for sustained output. C_LIO_LIA genetically encoded biosensor enables functional dissection of this circuit. C_LI

cell biology↗

Ferroptosis governs lymphatic vessel growth and regression

Whether, when, and how lymphatic vessels undergo cell death remains poorly understood. Here we identify ferroptosis as a physiological, cell-intrinsic regulator of the lymphatic endothelial cell survival during development and following injury, in stark contrast to the resilient organotypic blood endothelial cells. The lymphatic susceptibility to ferroptosis stems from tampered cystine/ hydropersulfide metabolism, alongside reduced glutathione availability triggered by an SH3RF3 E3 ligase mediated GPX4 degradation, and enhanced integration of polyunsaturated fatty acid enriched membrane phospholipids. Inducing ferroptosis genetically or pharmacologically elevated lymphatic lipid peroxidation, halted embryonic lymphangiogenesis and prevented post-injury lymphatic overgrowth while simultaneously shaped immune responses. Conversely, ferroptosis inhibition through saturated fatty acid supplementation led to pathological lymphatic hyperplasia. Targeting lymphatic ferroptotic mechanisms holds promise against pathological lymphatic growth in response to injury.

cell biology↗

Differentiation hierarchy in adult B cell acute lymphoblastic leukemia at clonal resolution

While a differentiation hierarchy with leukemia-initiating stem cells (LICs) at the apex is well documented for acute myeloid leukemia, the existence of LICs and their trajectories in B cell acute lymphoblastic leukemia (B-ALL) are debated. B-ALL is a malignant disease displaying considerable phenotypical and functional heterogeneity, yet the underlying cellular organization remains largely elusive. This study aims to investigate the hierarchical landscape of B-ALL by combining barcoding and multiome single cell data to unveil the differentiation architecture and temporal dynamics of leukemic differentiation at clonal and single cell resolution in vivo. Single-cell transcriptome and AbSeq analysis of lentiviral barcoded and transplanted patient-derived B-ALL cells revealed interconnected subpopulations, which could be prospectively isolated via surface markers and exhibited distinct leukemogenicity. Barcode tracking demonstrated the ability of cells to differentiate from a source cluster into differentiated progeny. Using machine learning we identified expression patterns predicting their differentiation potential of each barcoded cell within the immature cell compartment. To determine the dynamical properties of clones, we have designed a mathematical model that simulates the development of these subpopulations from a clonally diverse stem cell compartment. The model confirmed the most likely cluster of origin, supporting our functional data, and revealed the variability in dynamical properties between clones, while largely excluding plasticity. Hence, our work demonstrates a unidirectional differentiation in B-ALL with an immature population exhibiting a high leukemogenic potential. Key pointsO_LIA differentiation hierarchy with distinct leukemogenesis potential in B-ALL is demonstrated via clonal tracing and mathematical modeling. C_LIO_LIClonal differentiation behavior, while heterogeneous, is cell intrinsically controlled and predictable, yet independent from expansion. C_LI

cancer biology↗

ReCo: automated NGS read-counting of single and combinatorial CRISPR gRNAs.

SummaryCRISPR screens are increasingly performed to associate genotypes with genotypes. So far, however, their analysis required specialized computational knowledge to transform high-throughput next-generation sequencing (NGS) data into sequence formats amenable for downstream analysis. We developed ReCo, a stand-alone and user-friendly analytics tool for generating read-count tables of single and combinatorial CRISPR library and screen-based NGS data. Together with cutadapt and bowtie2 for rapid sequence trimming and alignment, ReCo enables the automated generation of read count tables from staggered NGS reads for the downstream identification of gRNA-induced phenotypes. Availability and implementationReCo is published under the MIT license and available at: https://github.com/KaulichLab/ReCo. Supplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

An intramolecular bivalent degrader glues an intrinsic BRD4-DCAF16 interaction

Targeted protein degradation is a pharmacological modality based on the induced proximity of an E3 ubiquitin ligase and a target protein to promote target ubiquitination and proteasomal degradation. This has been achieved either via bifunctional compounds (PROTACs) composed of two separate warheads that individually bind the target and E3 ligase, or via molecular glues that monovalently bind either the ligase or the target1-4. Using orthogonal genetic screening, biophysical characterization, and structural reconstitution, we investigate the mode of action of bifunctional BRD2/4 degraders (IBG1-4) and find that - instead of connecting target and ligase in trans as PROTACs do - they simultaneously engage two adjacent domains of the target protein in cis. This conformational change glues BRD4 to the E3 ligases DCAF11 or DCAF16, leveraging intrinsic target-ligase affinities which, albeit pre-existing, do not translate to BRD4 degradation in absence of compound. Structural insights into the ternary BRD4:IBG1:DCAF16 complex guided the rational design of improved degraders of low picomolar potency. We thus introduce a new modality in targeted protein degradation, termed intramolecular bivalent glues (IBGs), which work by bridging protein domains to enhance surface complementarity with E3 ligases for productive ubiquitination and degradation.

biochemistry↗

FBXL4 deficiency promotes mitophagy by elevating NIX.

The selective autophagy of mitochondria is linked to mitochondrial quality control and is critical to a healthy organism. We have conducted a CRISPR/Cas9 screen of human E3 ubiquitin ligases for influence on mitophagy under both basal cell culture conditions and following acute mitochondrial depolarisation. We identify two Cullin RING ligases, VHL and FBXL4 as the most profound negative regulators of basal mitophagy. We show that these converge through control of the mitophagy adaptors BNIP3 and BNIP3L/NIX through different mechanisms. FBXL4 suppression of BNIP3 and NIX levels is mediated via direct interaction and protein destabilisation rather than suppression of HIF1-mediated transcription. Depletion of NIX but not BNIP3 is sufficient to restore mitophagy levels. Our study enables a full understanding of the aetiology of early onset mitochondrial encephalomyopathy that is supported by analysis of a disease associated mutation. We further show that the compound MLN4924, which globally interferes with Cullin RING ligase activity, is a strong inducer of mitophagy providing a research tool in this context and a candidate therapeutic agent for conditions linked to mitochondrial dysfunction.

cell biology↗

Computational prediction of CRISPR-impaired non-coding regulatory regions

Genome-wide CRISPR screens are becoming more widespread and allow the simultaneous interrogation of thousands of genomic regions. Although recent progress has been made in the analysis of CRISPR screens, it is still an open problem how to interpret CRISPR mutations in non-coding regions of the genome. Most of the tools concentrate on the interpretation of mutations introduced in gene coding regions. We introduce a computational pipeline that uses epigenomic information about regulatory elements for the interpretation of CRISPR mutations in non-coding regions. We illustrate our approach on the analysis of a genome-wide CRISPR screen in hTERT-RPE-1 cells and reveal novel regulatory elements that mediate chemoresistance against doxorubicin in these cells. We infer links to established and to novel chemoresistance genes. Our approach is general and can be applied on any cell type and with different CRISPR enzymes.

bioinformatics↗

Combinatorial CRISPR screening reveals functional buffering in autophagy

Functional genomics studies in model organisms and human cell lines provided important insights into gene functions and their context-dependent role in genetic circuits. However, our functional understanding of many of these genes and how they combinatorically regulate key biological processes, remains limited. To enable the SpCas9-dependent mapping of gene-gene interactions in human cells, we established 3Cs multiplexing for the generation of combinatorial gRNA libraries in a distribution-unbiased manner and demonstrate its robust performance. The optimal number for combinatorial hit calling was 16 gRNA pairs and the skew of a librarys distribution was identified as a critical parameter dictating experimental scale and data quality. Our approach enabled us to investigate 247,032 gRNA-pairs targeting 12,736 gene-interactions in human autophagy. We identified novel genes essential for autophagy and provide experimental evidence that gene-associated categories of phenotypic strengths exist in autophagy. Furthermore, circuits of autophagy gene interactions reveal redundant nodes driven by paralog genes. Our combinatorial 3Cs approach is broadly suitable to investigate unexpected gene-interaction phenotypes in unperturbed and diseased cell contexts.

cell biology↗

ACSL3 is a novel GABARAPL2 interactor that links ufmylation and lipid droplet biogenesis

While studies of ATG genes in knockout models led to an explosion of knowledge about the functions of autophagy components, the exact roles of LC3/GABARAP proteins are still poorly understood. A major drawback for their understanding is that the available interactome data was largely acquired using overexpression systems. To overcome these limitations, we employed CRISPR/Cas9-based genome-editing to generate a panel of cells in which human ATG8 genes were tagged at their natural chromosomal locations with an N-terminal affinity epitope. This cellular resource was exemplarily employed to map endogenous GABARAPL2 protein complexes in response to autophagic modulation using interaction proteomics. This approach identified the ER transmembrane protein and lipid droplet biogenesis factor ACSL3 as a stabilizing GABARAPL2-binding partner. Through this interaction, the GABARAPL2-interacting protein and UFM1-activating enzyme UBA5 becomes anchored at the ER membrane. Functional analysis unveiled ACSL3 and lipid droplet formation as novel regulators of the enigmatic UFM1 conjugation pathway.

cell biology↗

Integrative analysis of epigenetics data identifies gene-specific regulatory elements

Understanding the complexity of transcriptional regulation is a major goal of computational biology. Because experimental linkage of regulatory sites to genes is challenging, computational methods considering epigenomics data have been proposed to create tissue-specific regulatory maps. However, we showed that these approaches are not well suited to account for the variations of the regulatory landscape between cell-types. To overcome these drawbacks, we developed a new method called SO_SCPCAPTITCHC_SCPCAPIO_SCPCAPTC_SCPCAP, that identifies and links putative regulatory sites to genes. Within SO_SCPCAPTITCHC_SCPCAPIO_SCPCAPTC_SCPCAP, we consider the chromatin accessibility signal of all samples jointly to identify regions exhibiting a signal variation related to the expression of a distinct gene. SO_SCPCAPTITCHC_SCPCAPIO_SCPCAPTC_SCPCAP outperforms previous approaches in various validation experiments and was used with a genome-wide CRISPR-Cas9 screen to prioritize novel doxorubicin-resistance genes and their associated non-coding regulatory regions. We believe that our work paves the way for a more refined understanding of transcriptional regulation at the gene-level.

bioinformatics↗

Competitive inhibitors of Ras effector binding

The small GTPases H, K and NRas are molecular switches that are indispensable for the correct regulation of cellular proliferation and growth. Mutations in Ras are associated with cancer and result in unwanted activation of signaling processes caused by aberrant recruitment of downstream effector proteins. In this study, we have engineered variants of the Ras-binding domain (RBD) of CRAF kinase that bind with highly improved affinity the effector binding site of Ras. Structural characterization demonstrates how the engineered RBD variants outcompete effector binding and inhibit Ras signaling in cells leading to apoptosis, growth arrest and senescence. The optimized RBD variants provide new insights in Ras biology and enabled the functional stratification of Ras dependency in patient-derived colorectal cancer organoids. One sentence summaryInhibition of effector kinase binding to Ras induces senescence in non-tumorigenic cells and reveals Ras dependency in patient-derived cancer organoids.

cancer biology↗