Timo Lassmann

Dr. Timo Lassmann


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 September 2012 in Nature
Verified
Journal Article
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SDSarah Djebali
Sarah Djebali
CDCarrie A. Davis
Carrie A. Davis
AMAngelika Merkel
Angelika Merkel
ADAlex Dobin
Alex Dobin
TLTimo Lassmann
Timo Lassmann
TGThomas R. Gingeras
Thomas R. Gingeras
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.

5 September 2012 in Genome Research
Verified
Journal Article
Open access
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TDThomas Derrien
Thomas Derrien
Rory JohnsonRory Johnson
Rory Johnson
GBGiovanni Bussotti
Giovanni Bussotti
ATAndrea Tanzer
Andrea Tanzer
SDSarah Djebali
Sarah Djebali
Roderic Guigó SerraRoderic Guigó Serra
Roderic Guigó Serra
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.

26 March 2014 in Nature
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Journal Article
Closed access
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TCThe FANTOM Consortium
The FANTOM Consortium
RARobin Andersson
Robin Andersson
CGClaudia Gebhard
Claudia Gebhard
IMIrene Miguel-Escalada
Irene Miguel-Escalada
IHIlka Hoof
Ilka Hoof
ASAlbin Sandelin
Albin Sandelin

1 January 2006 in Nucleic Acids Research
Verified
Journal Article
Open access
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RFRobert D. Finn
Robert D. Finn
JMJaina Mistry
Jaina Mistry
BSBenjamin Schuster-Böckler
Benjamin Schuster-Böckler
SGSam Griffiths-Jones
Sam Griffiths-Jones
VHVolker Hollich
Volker Hollich
ABAlex Bateman
Alex Bateman
Pfam is a database of protein families that currently contains 7973 entries (release 18.0). A recent development in Pfam has enabled the grouping of related families into clans. Pfam clans are described in detail, together with the new associated web pages. Improvements to the range of Pfam web tools and the first set of Pfam web services that allow programmatic access to the database and associated tools are also presented. Pfam is available on the web in the UK (http://www.sanger.ac.uk/Software/Pfam/), the USA (http://pfam.wustl.edu/), France (http://pfam.jouy.inra.fr/) and Sweden (http://pfam.cgb.ki.se/).

1 March 2017 in Nature
Verified
Journal Article
Closed access
PDF file
CHChung Chau Hon
Chung Chau Hon
JRJordan A. Ramilowski
Jordan A. Ramilowski
JHJayson Harshbarger
Jayson Harshbarger
NBNicolas Bertin
Nicolas Bertin
OROwen J. L. Rackham
Owen J. L. Rackham
AFAlistair R. R. Forrest
Alistair R. R. Forrest

5 January 2015 in Genome Biology
Verified
Journal Article
Open access
PDF file
MLMarina Lizio
Marina Lizio
JHJayson Harshbarger
Jayson Harshbarger
HSHisashi Shimoji
Hisashi Shimoji
JSJessica Severin
Jessica Severin
TKTakeya Kasukawa
Takeya Kasukawa
TCthe FANTOM consortium
the FANTOM consortium
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.