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Dive into the research topics where Ilia Kats is active.

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Featured researches published by Ilia Kats.


Molecular BioSystems | 2014

Creating functional engineered variants of the single-module non-ribosomal peptide synthetase IndC by T domain exchange

Ralf Beer; Konrad Herbst; Nikolaos Ignatiadis; Ilia Kats; Lorenz Adlung; Hannah Meyer; Dominik Niopek; Tania Christiansen; Fanny Georgi; Nils Kurzawa; Johanna Meichsner; Sophie Rabe; Anja Riedel; Joshua Sachs; Julia Schessner; Florian Schmidt; Philipp Walch; Katharina Niopek; Tim Heinemann; Roland Eils; Barbara Di Ventura

Non-ribosomal peptide synthetases (NRPSs) are enzymes that catalyze ribosome-independent production of small peptides, most of which are bioactive. NRPSs act as peptide assembly lines where individual, often interconnected modules each incorporate a specific amino acid into the nascent chain. The modules themselves consist of several domains that function in the activation, modification and condensation of the substrate. NRPSs are evidently modular, yet experimental proof of the ability to engineer desired permutations of domains and modules is still sought. Here, we use a synthetic-biology approach to create a small library of engineered NRPSs, in which the domain responsible for carrying the activated amino acid (T domain) is exchanged with natural or synthetic T domains. As a model system, we employ the single-module NRPS IndC from Photorhabdus luminescens that produces the blue pigment indigoidine. As chassis we use Escherichia coli. We demonstrate that heterologous T domain exchange is possible, even for T domains derived from different organisms. Interestingly, substitution of the native T domain with a synthetic one enhanced indigoidine production. Moreover, we show that selection of appropriate inter-domain linker regions is critical for functionality. Taken together, our results extend the engineering avenues for NRPSs, as they point out the possibility of combining domain sequences coming from different pathways, organisms or from conservation criteria. Moreover, our data suggest that NRPSs can be rationally engineered to control the level of production of the corresponding peptides. This could have important implications for industrial and medical applications.


Histochemistry and Cell Biology | 2014

SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy

Ullrich Köthe; Frank Herrmannsdörfer; Ilia Kats; Fred A. Hamprecht

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. This standardization makes it possible to detect spots by a true statistical test (instead of hand-tuned thresholds) and to de-noise the images with an efficient matched filter. By reducing the strength of the matched filter, SimpleSTORM also performs reasonably on data with high-spot density, trading off localization accuracy for improved detection performance. Extensive validation experiments on the ISBI Localization Challenge Dataset, as well as real image reconstructions, demonstrate the good performance of our algorithm.


Molecular Biology of the Cell | 2015

Live-cell multiphoton fluorescence correlation spectroscopy with an improved large Stokes shift fluorescent protein

Yinghua Guan; Matthias Meurer; Sarada Raghavan; Aleksander Rebane; Jake R. Lindquist; Sofia Santos; Ilia Kats; Michael W. Davidson; Ralph Mazitschek; Thomas E. Hughes; Mikhail Drobizhev; Michael Knop; Jagesh V. Shah

An improved variant of mKeima, a monomeric long Stokes shift red fluorescent protein, is introduced, called hmKeima8.5. Its increased intracellular brightness and long Stokes shift (~180 nm) make it an excellent partner with teal fluorescent protein (mTFP1) for multiphoton, multicolor applications. Here we demonstrate its utility in intracellular fluorescence correlation spectroscopy applications.


PLOS ONE | 2014

PCR Duplication: A One-Step Cloning-Free Method to Generate Duplicated Chromosomal Loci and Interference-Free Expression Reporters in Yeast

Florian Huber; Matthias Meurer; Daria Bunina; Ilia Kats; Celine I Maeder; Martin Štefl; Cyril Mongis; Michael Knop

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. In another experiment, we used PCR duplication to increase the dosage of a gene in a discrete manner, from 1× to 2x. Using TUB4, the gene encoding for the yeast γ-tubulin, we validated that this led to corresponding increases in the levels of mRNA and protein. PCR duplication is an easy one-step procedure that can be adapted in different ways to permit rapid, disturbance-free investigation of various genomic regulatory elements without the need for ex vivo cloning.


Nature Methods | 2018

Genome-wide C-SWAT library for high-throughput yeast genome tagging

Matthias Meurer; Yuanqiang Duan; Ehud Sass; Ilia Kats; Konrad Herbst; Benjamin C. Buchmuller; Verena Dederer; Florian Huber; Daniel Kirrmaier; Martin Štefl; Koen Van Laer; Tobias P. Dick; Marius K. Lemberg; Anton Khmelinskii; Emmanuel D. Levy; Michael Knop

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.A C-SWAT acceptor library allows the user to easily insert any tag of choice after yeast ORFs by swapping it for the acceptor module.


Nucleic Acids Research | 2017

Upregulation of SPS100 gene expression by an antisense RNA via a switch of mRNA isoforms with different stabilities

Daria Bunina; Martin Štefl; Florian Huber; Anton Khmelinskii; Matthias Meurer; Joseph D. Barry; Ilia Kats; Daniel Kirrmaier; Wolfgang Huber; Michael Knop

Abstract Pervasive transcription of genomes generates multiple classes of non-coding RNAs. One of these classes are stable long non-coding RNAs which overlap coding genes in antisense direction (asRNAs). The function of such asRNAs is not fully understood but several cases of antisense-dependent gene expression regulation affecting the overlapping genes have been demonstrated. Using high-throughput yeast genetics and a limited set of four growth conditions we previously reported a regulatory function for ∼25% of asRNAs, most of which repress the expression of the sense gene. To further explore the roles of asRNAs we tested more conditions and identified 15 conditionally antisense-regulated genes, 6 of which exhibited antisense-dependent enhancement of gene expression. We focused on the sporulation-specific gene SPS100, which becomes upregulated upon entry into starvation or sporulation as a function of the antisense transcript SUT169. We demonstrate that the antisense effect is mediated by its 3′ intergenic region (3′-IGR) and that this regulation can be transferred to other genes. Genetic analysis revealed that SUT169 functions by changing the relative expression of SPS100 mRNA isoforms from a short and unstable transcript to a long and stable species. These results suggest a novel mechanism of antisense-dependent gene regulation via mRNA isoform switching.


Molecular Systems Biology | 2018

Bicoid gradient formation mechanism and dynamics revealed by protein lifetime analysis

Lucia Durrieu; Daniel Kirrmaier; Tatjana Schneidt; Ilia Kats; Sarada Raghavan; Lars Hufnagel; Timothy E. Saunders; Michael Knop

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. Using a tandem fluorescent timer as a protein age sensor, we find a gradient of increasing age of Bicoid along the anterior–posterior axis in the early Drosophila embryo. Quantitative analysis of the protein age distribution across the embryo reveals that the synthesis–diffusion–degradation model is the most likely model underlying Bicoid gradient formation, and rules out other hypotheses for gradient formation. Moreover, we show that the timer can detect transitions in the dynamics associated with syncytial cellularization. Our results provide new insight into Bicoid gradient formation and demonstrate how morphogen‐age information can complement knowledge about movement, abundance, and distribution, which should be widely applicable to other systems.


Molecular Cell | 2018

Mapping Degradation Signals and Pathways in a Eukaryotic N-terminome

Ilia Kats; Anton Khmelinskii; Marc Kschonsak; Florian Huber; Robert A. Knieß; Anna Bartosik; Michael Knop

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. Here, by systematically examining how protein turnover is affected by N-terminal sequences, we perform a comprehensive survey of degrons in the yeast N-terminome. We find that approximately 26% of nascent protein N termini encode cryptic degrons. These degrons exhibit high hydrophobicity and are frequently recognized by the E3 ubiquitin ligase Doa10, suggesting a role in protein quality control. In contrast, N-terminal acetylation rarely functions as a degron. Surprisingly, we identify two pathways where N-terminal acetylation has the opposite function and blocks protein degradation through the E3 ubiquitin ligase Ubr1. Our analysis highlights the complexity of N-terminal degrons and argues that hydrophobicity, not N-terminal acetylation, is the predominant feature of N-terminal degrons in nascent proteins.


intelligent systems design and applications | 2011

OnTarget: A tool for analysing enrichment data derived from next generation sequencing

Agnes Hotz-Wagenblatt; Ilia Kats; Karl-Heinz Glatting; Maren Scharfenberger-Schmeer; Berit Haldemann

We have developed OnTarget, a pipeline which is designed to evaluate next generation sequencing data after sub-genomic enrichment. It is able to process single-end and paired-end sequence reads as well as single-end bisulfite data. Sequence reads can be sorted by barcodes and are mapped against the genome. Only reads which map once are processed, subsequently removing duplicate reads and finally mapping the unique reads against specified target regions in the genome. Results include statistical data as well as a graphical representation of the target coverage.


bioRxiv | 2017

A genome-wide resource for high-throughput genomic tagging of yeast ORFs

Matthias Meurer; Yuanqiang Duan; Ehud Sass; Ilia Kats; Konrad Herbst; Benjamin C. Buchmuller; Verena Dederer; Florian Huber; Daniel Kirrmaier; Martin Štefl; Koen Van Laer; Tobias P. Dick; Marius K. Lemberg; Anton Khmelinskii; Emmanuel D. Levy; Michael Knop

Here we describe a C-SWAT library for high-throughput tagging of Saccharomyces cerevisiae ORFs. It consists of 5661 strains with an acceptor module inserted after each ORF, which can be efficiently replaced with tags or regulatory elements. We validate the library with targeted sequencing and demonstrate its use by tagging the yeast proteome with bright fluorescent proteins, determining how sequences downstream of ORFs influence protein expression and localizing previously undetected proteins.

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Daniel Kirrmaier

German Cancer Research Center

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Lorenz Adlung

German Cancer Research Center

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Tim Heinemann

German Cancer Research Center

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