Refine
Has Fulltext
- yes (24)
Is part of the Bibliography
- yes (24)
Year of publication
Document Type
- Journal article (17)
- Doctoral Thesis (5)
- Book article / Book chapter (1)
- Preprint (1)
Language
- English (24) (remove)
Keywords
- RNA (24) (remove)
Institute
- Institut für Organische Chemie (10)
- Institut für Molekulare Infektionsbiologie (5)
- Theodor-Boveri-Institut für Biowissenschaften (4)
- Graduate School of Life Sciences (2)
- Institut für Klinische Neurobiologie (2)
- Medizinische Fakultät (2)
- Institut für Hygiene und Mikrobiologie (1)
- Institut für Virologie und Immunbiologie (1)
- Lehrstuhl für Biochemie (1)
- Medizinische Klinik und Poliklinik II (1)
Schriftenreihe
Sonstige beteiligte Institutionen
- Center for Nanosystems Chemistry (CNC), University of Würzburg (1)
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells, Göttingen (1)
- Department of Cellular Biochemistry, University Medical Center Göttingen (1)
- Department of Cellular Biochemistry, University Medical Centre Göttingen (1)
- Department of Molecular Biology, University Medical Centre Göttingen (1)
- Georg August University School of Science (1)
- Göttingen Center for Molecular Biosciences, University of Göttingen (1)
- Institut für Molekulare Infektionsbiologie (MIB) der Universität Würzburg (1)
- Institute of Cancer Research (ICR) London (1)
- Max Planck Institute for Biophysical Chemistry (1)
EU-Project number / Contract (GA) number
- 682586 (6)
- 259867 (1)
- 318987 (1)
- 693023 (1)
- ESF-ZDEX 4.0 (1)
Most RNAs within polarized cells such as neurons are sorted subcellularly in a coordinated manner. Despite advances in the development of methods for profiling polyadenylated RNAs from small amounts of input RNA, techniques for profiling coding and non-coding RNAs simultaneously are not well established. Here, we optimized a transcriptome profiling method based on double-random priming and applied it to serially diluted total RNA down to 10 pg. Read counts of expressed genes were robustly correlated between replicates, indicating that the method is both reproducible and scalable. Our transcriptome profiling method detected both coding and long non-coding RNAs sized >300 bases. Compared to total RNAseq using a conventional approach our protocol detected 70% more genes due to reduced capture of ribosomal RNAs. We used our method to analyze the RNA composition of compartmentalized motoneurons. The somatodendritic compartment was enriched for transcripts with post-synaptic functions as well as for certain nuclear non-coding RNAs such as 7SK. In axons, transcripts related to translation were enriched including the cytoplasmic non-coding RNA 7SL. Our profiling method can be applied to a wide range of investigations including perturbations of subcellular transcriptomes in neurodegenerative diseases and investigations of microdissected tissue samples such as anatomically defined fiber tracts.
We present the rapid biophysical characterization of six previously reported putative G‐quadruplex‐forming RNAs from the 5′‐untranslated region (5′‐UTR) of silvestrol‐sensitive transcripts for investigation of their secondary structures. By NMR and CD spectroscopic analysis, we found that only a single sequence—[AGG]\(_{2}\)[CGG]\(_{2}\)C—folds into a single well‐defined G‐quadruplex structure. Sequences with longer poly‐G strands form unspecific aggregates, whereas CGG‐repeat‐containing sequences exhibit a temperature‐dependent equilibrium between a hairpin and a G‐quadruplex structure. The applied experimental strategy is fast and provides robust readout for G‐quadruplex‐forming capacities of RNA oligomers.
Natural DNA storage allows cellular differentiation, evolution, the growth of our children and controls all our ecosystems. Here, we discuss the fundamental aspects of DNA storage and recent advances in this field, with special emphasis on natural processes and solutions that can be exploited. We point out new ways of efficient DNA and nucleotide storage that are inspired by nature. Within a few years DNA-based information storage may become an attractive and natural complementation to current electronic data storage systems. We discuss rapid and directed access (e.g. DNA elements such as promotors, enhancers), regulatory signals and modulation (e.g. lncRNA) as well as integrated high-density storage and processing modules (e.g. chromosomal territories). There is pragmatic DNA storage for use in biotechnology and human genetics. We examine DNA storage as an approach for synthetic biology (e.g. light-controlled nucleotide processing enzymes). The natural polymers of DNA and RNA offer much for direct storage operations (read-in, read-out, access control). The inbuilt parallelism (many molecules at many places working at the same time) is important for fast processing of information. Using biology concepts from chromosomal storage, nucleic acid processing as well as polymer material sciences such as electronical effects in enzymes, graphene, nanocellulose up to DNA macramé , DNA wires and DNA-based aptamer field effect transistors will open up new applications gradually replacing classical information storage methods in ever more areas over time (decades).
The biosynthesis of ribosomes is a complex cellular process involving ribosomal RNA, ribosomal proteins and several further trans-acting factors. DExD/H box proteins constitute the largest family of trans-acting protein factors involved in this process. Several members of this protein family have been directly implicated in ribosome biogenesis in yeast. In trypanosomes, ribosome biogenesis differs in several features from the process described in yeast. Here, we have identified the DExD/H box helicase Hel66 as being involved in ribosome biogenesis. The protein is unique to Kinetoplastida, localises to the nucleolus and its depletion via RNAi caused a severe growth defect. Loss of the protein resulted in a decrease of global translation and accumulation of rRNA processing intermediates for both the small and large ribosomal subunits. Only a few factors involved in trypanosome rRNA biogenesis have been described so far and our findings contribute to gaining a more comprehensive picture of this essential process.