Publications by authors named "Wojciech Rosikiewicz"

Background: CTCF, a highly studied transcription factor, is essential for chromatin interaction maintenance. Several independent studies report that CTCF interacts with RNAs in vitro and in cells. Yet continuous debates about the authenticity of the RNA-binding affinity of CTCF and its biological role remain in large part due to limited research techniques available, such as CLIP-seq.

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Background: CTCF is considered as the most essential transcription factor regulating chromatin architecture and gene expression. However, genome-wide impact of CTCF on erythropoiesis has not been extensively investigated.

Results: Using a state-of-the-art human erythroid progenitor cell model (HUDEP-2 and HEL cell lines), we systematically investigate the effects of acute CTCF loss by an auxin-inducible degron system on transcriptional programs, chromatin accessibility, CTCF genome occupancy, and genome architecture.

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Genes encoding subunits of SWI/SNF (BAF) chromatin remodeling complexes are mutated in nearly 25% of cancers. To gain insight into the mechanisms by which SWI/SNF mutations drive cancer, we contributed ten rhabdoid tumor (RT) cell lines mutant for SWI/SNF subunit SMARCB1 to a genome-scale CRISPR-Cas9 depletion screen performed across 896 cell lines. We identify PHF6 as specifically essential for RT cell survival and demonstrate that dependency on Phf6 extends to Smarcb1-deficient cancers in vivo.

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Article Synopsis
  • Sequence-based genetic testing finds causative variants in about 50% of cases of developmental and epileptic encephalopathies (DEEs), but DNA methylation changes in these cases have not been thoroughly explored.
  • This study analyzed genome-wide DNA methylation in blood samples from 582 individuals with unresolved DEEs, identifying rare methylation patterns and potential genetic causes in 12 of these cases.
  • The research highlights the effectiveness of DNA methylation analysis in diagnosing DEEs, showing a 2% diagnostic yield, and provides insights into the CHD2 gene's pathophysiology using advanced sequencing methods.
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  • Oncogenes can be targeted with small molecules, but the loss of tumor suppressor genes like SMARCB1 poses unique challenges in cancer treatment.
  • Cancer Dependency Map Project utilized CRISPR screening with SMARCB1-mutant cell lines, revealing that DCAF5 is critical for these cancer cells' survival.
  • DCAF5 helps regulate SWI/SNF complexes and its depletion allows for the reaccumulation of these complexes, potentially reversing the cancer state, suggesting that targeting similar quality-control factors could offer new therapeutic options.
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Neuroblastoma with MYCN amplification (MNA) is a high-risk disease that has a poor survival rate. Neuroblastoma displays cellular heterogeneity, including more differentiated (adrenergic) and more primitive (mesenchymal) cellular states. Here, we demonstrate that MYCN oncoprotein promotes a cellular state switch in mesenchymal cells to an adrenergic state, accompanied by induction of histone lysine demethylase 4 family members (KDM4A-C) that act in concert to control the expression of MYCN and adrenergic core regulatory circulatory (CRC) transcription factors.

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MGA (Max-gene associated) is a dual-specificity transcription factor that negatively regulates MYC-target genes to inhibit proliferation and promote differentiation. Loss-of-function mutations in MGA have been commonly identified in several hematological neoplasms, including acute myeloid leukemia (AML) with RUNX1::RUNX1T1, however, very little is known about the impact of these MGA alterations on normal hematopoiesis or disease progression. We show that representative MGA mutations identified in patient samples abolish protein-protein interactions and transcriptional activity.

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MLLT10 fusion is a rare but recurrent genetic driver in acute leukemias. To better understand the genomic landscape of PICALM::MLLT10 (PM) positive acute leukemia, we performed genomic profiling and gene expression profiling in twenty PM-positive patients, including AML (n = 10), T-ALL/LLy (n = 8), Mixed-phenotype acute leukemia (MPAL), T/B (n = 1) and acute undifferentiated leukemia (AUL) (n = 1). Besides confirming the known activation of HOXA, differential gene expression analysis compared to hematopoietic stem cells demonstrated the enrichment of genes associated with cell proliferation-related pathways and relatively high expression of XPO1 in PM-AML and PM-T-ALL/LLy.

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  • The oncogenic protein HOXA9 is crucial for the development and progress of aggressive acute leukemia, but the regulatory mechanisms controlling its expression are not fully understood.
  • A study using genome-wide CRISPR/Cas9 screening identified RBM5, an RNA-binding protein, as a key gene necessary for leukemia cell survival, which is overexpressed in acute myeloid leukemia (AML) patients.
  • The research shows that RBM5 regulates HOXA9 expression through a novel circuit, and targeting RBM5 presents a potential new therapeutic strategy for treating myeloid leukemia.
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Accumulating evidence indicates that HOXA9 dysregulation is necessary and sufficient for leukemic transformation and maintenance. However, it remains largely unknown how HOXA9, as a homeobox transcriptional factor, binds to noncoding regulatory sequences and controls the downstream genes. Here, we conduct dropout CRISPR screens against 229 HOXA9-bound peaks identified by ChIP-seq.

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  • UBTF tandem duplications (UBTF-TDs) are common alterations in both pediatric and adult acute myeloid leukemia (AML), linked to poor chemotherapy response and unique transcriptional profiles similar to other leukemia subtypes.
  • This study investigated how UBTF-TD influences leukemia, finding that it mislocalizes to specific genomic regions, affecting crucial gene clusters like HOXA/HOXB and MEIS1, which are relevant in these malignancies.
  • The research also showed that targeting UBTF-TD with the menin inhibitor SNDX-5613 effectively reduces tumor growth and alters the expression profile in leukemia cells, presenting a potential treatment option for this aggressive form of AML.
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  • Sequence-based genetic testing currently identifies genetic variants in about half of individuals with developmental and epileptic encephalopathies (DEEs), but DNA methylation changes have not been explored in this context.
  • This study analyzed genome-wide DNA methylation in blood samples from 516 individuals with unresolved DEEs, uncovering rare methylation changes that helped identify genetic causes in 10 cases.
  • The findings suggest that DNA methylation analysis can enhance diagnostic accuracy for DEEs, offering a similar increase in yield to traditional genome sequencing techniques.
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MGA (Max-gene associated) is a dual-specificity transcription factor that negatively regulates MYC-target genes to inhibit proliferation and promote differentiation. Loss-of-function mutations in have been commonly identified in several hematological neoplasms, including acute myeloid leukemia (AML) with however, very little is known about the impact of these alterations on normal hematopoiesis or disease progression. We show that representative mutations identified in patient samples abolish protein-protein interactions and transcriptional activity.

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Bromo- and extra-terminal domain inhibitors (BETi) have exhibited therapeutic activities in many cancers. However, the mechanisms controlling BETi response and resistance are not well understood. We conducted genome-wide loss-of-function CRISPR screens using BETi-treated KMT2A-rearranged (KMT2A-r) cell lines.

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Metastases arise from rare cancer cells that successfully adapt to the diverse microenvironments encountered during dissemination through the bloodstream and colonization of distant tissues. How cancer cells acquire the ability to appropriately respond to microenvironmental stimuli remains largely unexplored. Here, we report an epigenetic pliancy mechanism that allows cancer cells to successfully metastasize.

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The mitotic deacetylase complex MiDAC has recently been shown to play a vital physiological role in embryonic development and neurite outgrowth. However, how MiDAC functionally intersects with other chromatin-modifying regulators is poorly understood. Here, we describe a physical interaction between the histone H3K27 demethylase UTX, a complex-specific subunit of the enhancer-associated MLL3/4 complexes, and MiDAC.

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Mesenchymal chondrosarcoma is a rare, high-grade, primitive mesenchymal tumor. It accounts for around 2-10% of all chondrosarcomas and mainly affects adolescents and young adults. We previously described the HEY1-NCOA2 as a recurrent gene fusion in mesenchymal chondrosarcoma, an important breakthrough for characterizing this disease; however, little study had been done to characterize the fusion protein functionally, in large part due to a lack of suitable models for evaluating the impact of HEY1-NCOA2 expression in the appropriate cellular context.

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DNA methylation at enhancers and CpG islands usually leads to gene repression, which is counteracted by DNA demethylation through the TET protein family. However, how TET enzymes are recruited and regulated at these genomic loci is not fully understood. Here, we identify TET2, the glycosyltransferase OGT and a previously undescribed proline and serine rich protein, PROSER1 as interactors of UTX, a component of the enhancer-associated MLL3/4 complexes.

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Article Synopsis
  • Nanopore long-read sequencing technology enhances the detection of DNA modifications, particularly methylation, and various analytical tools have been developed for this purpose.
  • This study compares seven tools for accurately predicting DNA methylation from nanopore sequencing data derived from human DNA, analyzing their performances based on different genomic contexts, coverage, and computational efficiency.
  • The findings highlight that all tools show limitations in specific regions, and the study presents an online database for researchers to access DNA methylation levels from both nanopore and bisulfite sequencing.
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  • The transcription factor CTCF is crucial for maintaining chromatin structures but its sudden depletion doesn't drastically impact gene transcription.
  • A comprehensive analysis using multiple techniques shows that losing CTCF causes significant changes in chromatin accessibility, particularly near promoter regions, which enhances the transcription of nearby genes.
  • The research also identifies 40 potential co-regulatory partners of CTCF, suggesting that even if they don't change their own expression levels, they still influence gene regulation when CTCF is absent.
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Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in humans could cause coronavirus disease 2019 (COVID-19). Since its first discovery in Dec 2019, SARS-CoV-2 has become a global pandemic and caused 3.3 million direct/indirect deaths (2021 May).

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Despite the number of studies focused on sense-antisense transcription, the key question of whether such organization evolved as a regulator of gene expression or if this is only a byproduct of other regulatory processes has not been elucidated to date. In this study, protein-coding sense-antisense gene pairs were analyzed with a particular focus on pairs overlapping at their 5' ends. Analyses were performed in 73 human transcription start site libraries.

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The TET2 DNA hydroxymethyltransferase is frequently disrupted by somatic mutations in diffuse large B cell lymphomas (DLBCLs), a tumor that originates from germinal center (GC) B cells. Here, we show that TET2 deficiency leads to DNA hypermethylation of regulatory elements in GC B cells, associated with silencing of the respective genes. This hypermethylation affects the binding of transcription factors including those involved in exit from the GC reaction and involves pathways such as B cell receptor, antigen presentation, CD40, and others.

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Chromatin interaction studies can reveal how the genome is organized into spatially confined sub-compartments in the nucleus. However, accurately identifying sub-compartments from chromatin interaction data remains a challenge in computational biology. Here, we present Sub-Compartment Identifier (SCI), an algorithm that uses graph embedding followed by unsupervised learning to predict sub-compartments using Hi-C chromatin interaction data.

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