Publications by authors named "Kats I"

Paediatric medulloblastomas with chromothripsis are characterised by high genomic instability and are among the tumours with the worst prognosis. However, the molecular makeup and the determinants of the aggressiveness of chromothriptic medulloblastoma are not well understood. Here, we apply spatial transcriptomics to profile a cohort of 13 chromothriptic and non-chromothriptic medulloblastomas from the same molecular subgroup.

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  • * The SpatialData framework offers a unified file format and lazy data representation, addressing issues like data volume and the need for flexible data structures.
  • * SpatialData supports spatial annotations and cross-modal analysis, demonstrated through integrative analysis in a multimodal breast cancer study.
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  • The stability and turnover of proteins are influenced by their N-terminal sequences and how these sequences are processed, potentially leading to degradation signals.
  • Researchers can gain insights into the effects of genetic changes on protein stability through methods that assess many N-terminal proteins at once, such as using tandem fluorescent timers (tFT).
  • The protocol described allows for Multiplexed Protein Stability (MPS) profiling in yeast by sorting and analyzing large libraries of proteins with different N-termini, ultimately generating a stability index for each variant through deep sequencing.
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The relationship between the human placenta-the extraembryonic organ made by the fetus, and the decidua-the mucosal layer of the uterus, is essential to nurture and protect the fetus during pregnancy. Extravillous trophoblast cells (EVTs) derived from placental villi infiltrate the decidua, transforming the maternal arteries into high-conductance vessels. Defects in trophoblast invasion and arterial transformation established during early pregnancy underlie common pregnancy disorders such as pre-eclampsia.

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Advances in multi-omics have led to an explosion of multimodal datasets to address questions from basic biology to translation. While these data provide novel opportunities for discovery, they also pose management and analysis challenges, thus motivating the development of tailored computational solutions. Here, we present a data standard and an analysis framework for multi-omics, MUON, designed to organise, analyse, visualise, and exchange multimodal data.

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N-terminal acetylation is a prominent protein modification, and inactivation of N-terminal acetyltransferases (NATs) cause protein homeostasis stress. Using multiplexed protein stability profiling with linear ubiquitin fusions as reporters for the activity of the ubiquitin proteasome system, we observed increased ubiquitin proteasome system activity in NatA, but not NatB or NatC mutants. We find several mechanisms contributing to this behavior.

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  • The study investigates the ubiquitin-proteasome system (UPS) in yeast (Saccharomyces cerevisiae) to understand how it influences protein turnover in cells.
  • It reveals significant effects on protein degradation for 76% of the enzymes involved in UPS when specific components are lost, contributing important insights into N-degron pathways.
  • The findings highlight the roles of Ubr1 and Ylr149c/Gid11 in targeting mitochondrial proteins and recognizing proteins with N-terminal threonines, respectively, broadening our understanding of protein degradation mechanisms.
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Accurate assembly of newly synthesized proteins into functional oligomers is crucial for cell activity. In this study, we investigated whether direct interaction of two nascent proteins, emerging from nearby ribosomes (co-co assembly), constitutes a general mechanism for oligomer formation. We used proteome-wide screening to detect nascent chain-connected ribosome pairs and identified hundreds of homomer subunits that co-co assemble in human cells.

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O-mannosylation is implicated in protein quality control in due to the attachment of mannose to serine and threonine residues of un- or misfolded proteins in the endoplasmic reticulum (ER). This process also designated as unfolded protein O-mannosylation (UPOM) that ends futile folding cycles and saves cellular resources is mainly mediated by protein O-mannosyltransferases Pmt1 and Pmt2. Here we describe a genetic screen for factors that influence O-mannosylation in yeast, using slow-folding green fluorescent protein (GFP) as a reporter.

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Formation of eukaryotic initiation factor 4F (eIF4F) is widely considered to be the rate-limiting step in cap-dependent translation initiation. Components of eIF4F are often up-regulated in various cancers, and much work has been done to elucidate the role of each of the translation initiation factors in cancer cell growth and survival. In fact, many of the basic mechanisms describing how eIF4F is assembled and how it functions to regulate translation initiation were first investigated in cancer cell lines.

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Background And Objective: Post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP) is the most prevalent complication after ERCP with an incidence of 3.5%. PEP severity is classified according to either the consensus criteria or the revised Atlanta criteria.

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Embryogenesis relies on instructions provided by spatially organized signaling molecules known as morphogens. Understanding the principles behind morphogen distribution and how cells interpret locally this information remains a major challenge in developmental biology. Here, we introduce morphogen-age measurements as a novel approach to test models of morphogen gradient formation.

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Here we describe a C-SWAT library for high-throughput tagging of Saccharomyces cerevisiae open reading frames (ORFs). In 5,661 strains, we inserted an acceptor module after each ORF that can be efficiently replaced with tags or regulatory elements. We validated the library with targeted sequencing and tagged the proteome with bright fluorescent proteins to quantify the effect of heterologous transcription terminators on protein expression and to localize previously undetected proteins.

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Learning and memory depend on neuronal plasticity originating at the synapse and requiring nuclear gene expression to persist. However, how synapse-to-nucleus communication supports long-term plasticity and behavior has remained elusive. Among cytonuclear signaling proteins, γCaMKII stands out in its ability to rapidly shuttle Ca/CaM to the nucleus and thus activate CREB-dependent transcription.

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Most eukaryotic proteins are N-terminally acetylated. This modification can be recognized as a signal for selective protein degradation (degron) by the N-end rule pathways. However, the prevalence and specificity of such degrons in the proteome are unclear.

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Objective: To determine the prevalence and features of fatty liver disease in spinal and bulbar muscular atrophy (SBMA).

Methods: Two groups of participants with SBMA were evaluated. In the first group, 22 participants with SBMA underwent laboratory analysis and liver imaging.

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Article Synopsis
  • Pervasive transcription leads to various non-coding RNAs, including stable long non-coding RNAs that overlap coding genes in an antisense orientation.
  • Research identified that around 25% of these antisense RNAs (asRNAs) can regulate gene expression, primarily repressing the overlapping sense genes.
  • A specific study on the gene SPS100 showed that its expression is enhanced by the antisense transcript SUT169 during starvation or sporulation, suggesting a mechanism where asRNAs can influence gene regulation by altering mRNA isoforms.
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Objective: To determine the safety and efficacy of a home-based functional exercise program in spinal and bulbar muscular atrophy (SBMA).

Methods: Subjects were randomly assigned to participate in 12 weeks of either functional exercises (intervention) or a stretching program (control) at the National Institutes of Health in Bethesda, MD. A total of 54 subjects enrolled, and 50 completed the study with 24 in the functional exercise group and 26 in the stretching control group.

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We report an improved variant of mKeima, a monomeric long Stokes shift red fluorescent protein, hmKeima8.5. The increased intracellular brightness and large Stokes shift (∼180 nm) make it an excellent partner with teal fluorescent protein (mTFP1) for multiphoton, multicolor applications.

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Here, we report on a novel PCR targeting-based strategy called 'PCR duplication' that enables targeted duplications of genomic regions in the yeast genome using a simple PCR-based approach. To demonstrate its application we first duplicated the promoter of the FAR1 gene in yeast and simultaneously inserted a GFP downstream of it. This created a reporter for promoter activity while leaving the FAR1 gene fully intact.

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  • Spinal and bulbar muscular atrophy (SBMA) is an X-linked neuromuscular disorder linked to an expanded CAG repeat in the androgen receptor gene.
  • A unique case of a 29-year-old patient with 68 CAG repeats revealed early onset symptoms and additional issues not typically seen in SBMA patients.
  • The study's findings highlight both typical SBMA deficits and novel manifestations, enhancing understanding of the disease's progression related to the mutated androgen receptor.
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  • Spinal and bulbar muscular atrophy (SBMA), also known as Kennedy's disease, is a motor neuron disease caused by an expansion of polyglutamine repeats in the androgen receptor, leading to degeneration in spinal cord and muscle, though its precise mechanism remains unclear.
  • Induced pluripotent stem cells derived from SBMA patients serve as a valuable model for exploring disease mechanisms and potential therapies; these stem cells exhibited reduced androgen receptor expression but maintained the ability to stabilize and translocate to the nucleus in response to androgens.
  • The findings suggest repeat instability, reduced HDAC6 levels, and altered acetylation patterns in motor neurons might provide new insights into SBMA’s pathology and highlight targets for future therapeutic strategies.
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Although there are many reconstruction algorithms for localization microscopy, their use is hampered by the difficulty to adjust a possibly large number of parameters correctly. We propose SimpleSTORM, an algorithm that determines appropriate parameter settings directly from the data in an initial self-calibration phase. The algorithm is based on a carefully designed yet simple model of the image acquisition process which allows us to standardize each image such that the background has zero mean and unit variance.

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