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Dive into the research topics where Timo Lassmann is active.

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Featured researches published by Timo Lassmann.


Nature | 2012

Landscape of transcription in human cells

Sarah Djebali; Carrie A. Davis; Angelika Merkel; Alexander Dobin; Timo Lassmann; Ali Mortazavi; Andrea Tanzer; Julien Lagarde; Wei Lin; Felix Schlesinger; Chenghai Xue; Georgi K. Marinov; Jainab Khatun; Brian A. Williams; Chris Zaleski; Joel Rozowsky; Maik Röder; Felix Kokocinski; Rehab F. Abdelhamid; Tyler Alioto; Igor Antoshechkin; Michael T. Baer; Nadav S. Bar; Philippe Batut; Kimberly Bell; Ian Bell; Sudipto Chakrabortty; Xian Chen; Jacqueline Chrast; Joao Curado

Eukaryotic cells make many types of primary and processed RNAs that are found either in specific subcellular compartments or throughout the cells. A complete catalogue of these RNAs is not yet available and their characteristic subcellular localizations are also poorly understood. Because RNA represents the direct output of the genetic information encoded by genomes and a significant proportion of a cell’s regulatory capabilities are focused on its synthesis, processing, transport, modification and translation, the generation of such a catalogue is crucial for understanding genome function. Here we report evidence that three-quarters of the human genome is capable of being transcribed, as well as observations about the range and levels of expression, localization, processing fates, regulatory regions and modifications of almost all currently annotated and thousands of previously unannotated RNAs. These observations, taken together, prompt a redefinition of the concept of a gene.


Genome Research | 2012

The GENCODE v7 catalog of human long noncoding RNAs: Analysis of their gene structure, evolution, and expression

Thomas Derrien; Rory Johnson; Giovanni Bussotti; Andrea Tanzer; Sarah Djebali; Hagen Tilgner; Gregory Guernec; David Martin; Angelika Merkel; David G. Knowles; Julien Lagarde; Lavanya Veeravalli; Xiaoan Ruan; Yijun Ruan; Timo Lassmann; Piero Carninci; James B. Brown; Leonard Lipovich; José Manuel Rodríguez González; Mark G. Thomas; Carrie A. Davis; Ramin Shiekhattar; Thomas R. Gingeras; Tim Hubbard; Cedric Notredame; Jennifer Harrow; Roderic Guigó

The human genome contains many thousands of long noncoding RNAs (lncRNAs). While several studies have demonstrated compelling biological and disease roles for individual examples, analytical and experimental approaches to investigate these genes have been hampered by the lack of comprehensive lncRNA annotation. Here, we present and analyze the most complete human lncRNA annotation to date, produced by the GENCODE consortium within the framework of the ENCODE project and comprising 9277 manually annotated genes producing 14,880 transcripts. Our analyses indicate that lncRNAs are generated through pathways similar to that of protein-coding genes, with similar histone-modification profiles, splicing signals, and exon/intron lengths. In contrast to protein-coding genes, however, lncRNAs display a striking bias toward two-exon transcripts, they are predominantly localized in the chromatin and nucleus, and a fraction appear to be preferentially processed into small RNAs. They are under stronger selective pressure than neutrally evolving sequences-particularly in their promoter regions, which display levels of selection comparable to protein-coding genes. Importantly, about one-third seem to have arisen within the primate lineage. Comprehensive analysis of their expression in multiple human organs and brain regions shows that lncRNAs are generally lower expressed than protein-coding genes, and display more tissue-specific expression patterns, with a large fraction of tissue-specific lncRNAs expressed in the brain. Expression correlation analysis indicates that lncRNAs show particularly striking positive correlation with the expression of antisense coding genes. This GENCODE annotation represents a valuable resource for future studies of lncRNAs.


Nature Genetics | 2009

The regulated retrotransposon transcriptome of mammalian cells

Geoffrey J. Faulkner; Yasumasa Kimura; Carsten O. Daub; Shivangi Wani; Charles Plessy; Katharine M. Irvine; Kate Schroder; Nicole Cloonan; Anita L Steptoe; Timo Lassmann; Kazunori Waki; Nadine Hornig; Takahiro Arakawa; Hazuki Takahashi; Jun Kawai; Alistair R. R. Forrest; Harukazu Suzuki; Yoshihide Hayashizaki; David A. Hume; Valerio Orlando; Sean M. Grimmond; Piero Carninci

Although repetitive elements pervade mammalian genomes, their overall contribution to transcriptional activity is poorly defined. Here, as part of the FANTOM4 project, we report that 6–30% of cap-selected mouse and human RNA transcripts initiate within repetitive elements. Analysis of approximately 250,000 retrotransposon-derived transcription start sites shows that the associated transcripts are generally tissue specific, coincide with gene-dense regions and form pronounced clusters when aligned to full-length retrotransposon sequences. Retrotransposons located immediately 5′ of protein-coding loci frequently function as alternative promoters and/or express noncoding RNAs. More than a quarter of RefSeqs possess a retrotransposon in their 3′ UTR, with strong evidence for the reduced expression of these transcripts relative to retrotransposon-free transcripts. Finally, a genome-wide screen identifies 23,000 candidate regulatory regions derived from retrotransposons, in addition to more than 2,000 examples of bidirectional transcription. We conclude that retrotransposon transcription has a key influence upon the transcriptional output of the mammalian genome.


Nature Genetics | 2009

Tiny RNAs associated with transcription start sites in animals

Ryan J. Taft; Evgeny A. Glazov; Nicole Cloonan; Cas Simons; Stuart Stephen; Geoffrey J. Faulkner; Timo Lassmann; Alistair Raymond Russell Forrest; Sean M. Grimmond; Kate Schroder; Katharine M. Irvine; Takahiro Arakawa; Mari Nakamura; Atsutaka Kubosaki; Kengo Hayashida; Chika Kawazu; Mitsuyoshi Murata; Hiromi Nishiyori; Shiro Fukuda; Jun Kawai; Carsten O. Daub; David A. Hume; Harukazu Suzuki; Valerio Orlando; Piero Carninci; Yoshihide Hayashizaki; John S. Mattick

It has been reported that relatively short RNAs of heterogeneous sizes are derived from sequences near the promoters of eukaryotic genes. As part of the FANTOM4 project, we have identified tiny RNAs with a modal length of 18 nt that map within −60 to +120 nt of transcription start sites (TSSs) in human, chicken and Drosophila. These transcription initiation RNAs (tiRNAs) are derived from sequences on the same strand as the TSS and are preferentially associated with G+C-rich promoters. The 5′ ends of tiRNAs show peak density 10–30 nt downstream of TSSs, indicating that they are processed. tiRNAs are generally, although not exclusively, associated with highly expressed transcripts and sites of RNA polymerase II binding. We suggest that tiRNAs may be a general feature of transcription in metazoa and possibly all eukaryotes.


Nature | 2009

An RNA-dependent RNA polymerase formed by TERT and the RMRP RNA

Yoshiko Maida; Mami Yasukawa; Miho Furuuchi; Timo Lassmann; Richard Possemato; Naoko Okamoto; Vivi Kasim; Yoshihide Hayashizaki; William C. Hahn; Kenkichi Masutomi

Constitutive expression of telomerase in human cells prevents the onset of senescence and crisis by maintaining telomere homeostasis. However, accumulating evidence suggests that the human telomerase reverse transcriptase catalytic subunit (TERT) contributes to cell physiology independently of its ability to elongate telomeres. Here we show that TERT interacts with the RNA component of mitochondrial RNA processing endoribonuclease (RMRP), a gene that is mutated in the inherited pleiotropic syndrome cartilage–hair hypoplasia. Human TERT and RMRP form a distinct ribonucleoprotein complex that has RNA-dependent RNA polymerase (RdRP) activity and produces double-stranded RNAs that can be processed into small interfering RNA in a Dicer (also known as DICER1)-dependent manner. These observations identify a mammalian RdRP composed of TERT in complex with RMRP.


Leukemia | 2010

Induction of microRNAs, mir-155, mir-222, mir-424 and mir-503, promotes monocytic differentiation through combinatorial regulation

Alistair R. R. Forrest; Mutsumi Kanamori-Katayama; Yasuhiro Tomaru; Timo Lassmann; Noriko Ninomiya; Yukari Takahashi; M.J.L. J.L. de Hoon; Atsutaka Kubosaki; Ai Kaiho; Masanori Suzuki; Jun Yasuda; Jun Kawai; Yoshihide Hayashizaki; David A. Hume; Hironao Suzuki

Acute myeloid leukemia (AML) involves a block in terminal differentiation of the myeloid lineage and uncontrolled proliferation of a progenitor state. Using phorbol myristate acetate (PMA), it is possible to overcome this block in THP-1 cells (an M5-AML containing the MLL-MLLT3 fusion), resulting in differentiation to an adherent monocytic phenotype. As part of FANTOM4, we used microarrays to identify 23 microRNAs that are regulated by PMA. We identify four PMA-induced microRNAs (mir-155, mir-222, mir-424 and mir-503) that when overexpressed cause cell-cycle arrest and partial differentiation and when used in combination induce additional changes not seen by any individual microRNA. We further characterize these pro-differentiative microRNAs and show that mir-155 and mir-222 induce G2 arrest and apoptosis, respectively. We find mir-424 and mir-503 are derived from a polycistronic precursor mir-424-503 that is under repression by the MLL-MLLT3 leukemogenic fusion. Both of these microRNAs directly target cell-cycle regulators and induce G1 cell-cycle arrest when overexpressed in THP-1. We also find that the pro-differentiative mir-424 and mir-503 downregulate the anti-differentiative mir-9 by targeting a site in its primary transcript. Our study highlights the combinatorial effects of multiple microRNAs within cellular systems.


Genome Biology | 2015

Gateways to the FANTOM5 promoter level mammalian expression atlas

Marina Lizio; Jayson Harshbarger; Hisashi Shimoji; Jessica Severin; Takeya Kasukawa; Serkan Sahin; Imad Abugessaisa; Shiro Fukuda; Fumi Hori; Sachi Ishikawa-Kato; Christopher J. Mungall; Erik Arner; J. Kenneth Baillie; Nicolas Bertin; Hidemasa Bono; Michiel Jl de Hoon; Alexander D. Diehl; Emmanuel Dimont; Tom C. Freeman; Kaori Fujieda; Winston Hide; Rajaram Kaliyaperumal; Toshiaki Katayama; Timo Lassmann; Terrence F. Meehan; Koro Nishikata; Hiromasa Ono; Michael Rehli; Albin Sandelin; Erik Schultes

The FANTOM5 project investigates transcription initiation activities in more than 1,000 human and mouse primary cells, cell lines and tissues using CAGE. Based on manual curation of sample information and development of an ontology for sample classification, we assemble the resulting data into a centralized data resource (http://fantom.gsc.riken.jp/5/). This resource contains web-based tools and data-access points for the research community to search and extract data related to samples, genes, promoter activities, transcription factors and enhancers across the FANTOM5 atlas.


Bioinformatics | 2009

TagDust--a program to eliminate artifacts from next generation sequencing data.

Timo Lassmann; Yoshihide Hayashizaki; Carsten O. Daub

Motivation: Next-generation parallel sequencing technologies produce large quantities of short sequence reads. Due to experimental procedures various types of artifacts are commonly sequenced alongside the targeted RNA or DNA sequences. Identification of such artifacts is important during the development of novel sequencing assays and for the downstream analysis of the sequenced libraries. Results: Here we present TagDust, a program identifying artifactual sequences in large sequencing runs. Given a user-defined cutoff for the false discovery rate, TagDust identifies all reads explainable by combinations and partial matches to known sequences used during library preparation. We demonstrate the quality of our method on sequencing runs performed on Illuminas Genome Analyzer platform. Availability: Executables and documentation are available from http://genome.gsc.riken.jp/osc/english/software/. Contact: [email protected]


Nature | 2017

An atlas of human long non-coding RNAs with accurate 5′ ends

Chung Chau Hon; Jordan A. Ramilowski; Jayson Harshbarger; Nicolas Bertin; Owen J. L. Rackham; Julian Gough; Elena Denisenko; Sebastian Schmeier; Thomas M. Poulsen; Jessica Severin; Marina Lizio; Hideya Kawaji; Takeya Kasukawa; Masayoshi Itoh; A. Maxwell Burroughs; Shohei Noma; Sarah Djebali; Tanvir Alam; Yulia A. Medvedeva; Alison C. Testa; Leonard Lipovich; Chi Wai Yip; Imad Abugessaisa; Mickal Mendez; Akira Hasegawa; Dave Tang; Timo Lassmann; Peter Heutink; Magda Babina; Christine A. Wells

Long non-coding RNAs (lncRNAs) are largely heterogeneous and functionally uncharacterized. Here, using FANTOM5 cap analysis of gene expression (CAGE) data, we integrate multiple transcript collections to generate a comprehensive atlas of 27,919 human lncRNA genes with high-confidence 5′ ends and expression profiles across 1,829 samples from the major human primary cell types and tissues. Genomic and epigenomic classification of these lncRNAs reveals that most intergenic lncRNAs originate from enhancers rather than from promoters. Incorporating genetic and expression data, we show that lncRNAs overlapping trait-associated single nucleotide polymorphisms are specifically expressed in cell types relevant to the traits, implicating these lncRNAs in multiple diseases. We further demonstrate that lncRNAs overlapping expression quantitative trait loci (eQTL)-associated single nucleotide polymorphisms of messenger RNAs are co-expressed with the corresponding messenger RNAs, suggesting their potential roles in transcriptional regulation. Combining these findings with conservation data, we identify 19,175 potentially functional lncRNAs in the human genome.


Genome Research | 2011

Genome-wide analysis of promoter architecture in Drosophila melanogaster

Roger A. Hoskins; Jane M. Landolin; James B. Brown; Jeremy E. Sandler; Hazuki Takahashi; Timo Lassmann; Charles Yu; Benjamin W. Booth; Dayu Zhang; Kenneth H. Wan; Li Yang; Nathan Boley; Justen Andrews; Thomas C. Kaufman; Brenton R. Graveley; Peter J. Bickel; Piero Carninci; Joseph W. Carlson; Susan E. Celniker

Core promoters are critical regions for gene regulation in higher eukaryotes. However, the boundaries of promoter regions, the relative rates of initiation at the transcription start sites (TSSs) distributed within them, and the functional significance of promoter architecture remain poorly understood. We produced a high-resolution map of promoters active in the Drosophila melanogaster embryo by integrating data from three independent and complementary methods: 21 million cap analysis of gene expression (CAGE) tags, 1.2 million RNA ligase mediated rapid amplification of cDNA ends (RLM-RACE) reads, and 50,000 cap-trapped expressed sequence tags (ESTs). We defined 12,454 promoters of 8037 genes. Our analysis indicates that, due to non-promoter-associated RNA background signal, previous studies have likely overestimated the number of promoter-associated CAGE clusters by fivefold. We show that TSS distributions form a complex continuum of shapes, and that promoters active in the embryo and adult have highly similar shapes in 95% of cases. This suggests that these distributions are generally determined by static elements such as local DNA sequence and are not modulated by dynamic signals such as histone modifications. Transcription factor binding motifs are differentially enriched as a function of promoter shape, and peaked promoter shape is correlated with both temporal and spatial regulation of gene expression. Our results contribute to the emerging view that core promoters are functionally diverse and control patterning of gene expression in Drosophila and mammals.

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Piero Carninci

International School for Advanced Studies

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Yoshihide Hayashizaki

Roswell Park Cancer Institute

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Yoshihide Hayashizaki

Roswell Park Cancer Institute

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Marina Lizio

Swiss Institute of Bioinformatics

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