@phdthesis{Saal2017, author = {Saal, Lena}, title = {Whole transcriptome profiling of compartmentalized motoneurons}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-140006}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2017}, abstract = {Spinal muscular atrophy and amyotrophic lateral sclerosis are the two most common devastating motoneuron diseases. The mechanisms leading to motoneuron degeneration are not resolved so far, although different hypotheses have been built on existing data. One possible mechanism is disturbed axonal transport of RNAs in the affected motoneurons. The underlying question of this study was therefore to characterize changes in transcript levels of distinct RNAs in cell culture models of spinal muscular atrophy and amyotrophic lateral sclerosis, especially in the axonal compartment of primary motoneurons. To investigate this in detail we first established compartmentalized cultures of Primary mouse motoneurons. Subsequently, total RNA of both compartments was extracted separately and either linearly amplified and subjected to microarray profiling or whole transcriptome amplification followed by RNA-Sequencing was performed. To make the whole transcriptome amplification method suitable for compartmentalized cultures, we adapted a double-random priming strategy. First, we applied this method for initial optimization onto serial dilutions of spinal cord RNA and later on to the compartmentalized motoneurons. Analysis of the data obtained from wildtype cultures already revealed interesting results. First, the RNA composition of axons turned out to be highly similar to the somatodendritic compartment. Second, axons seem to be particularly enriched for transcripts related to protein synthesis and energy production. In a next step we repeated the experiments by using knockdown cultures. The proteins depleted hereby are Smn, Tdp-43 and hnRNP R. Another experiment was performed by knocking down the non-coding RNA 7SK, the main interacting RNA of hnRNP R. Depletion of Smn led to a vast number of deregulated transcripts in the axonal and somatodendritic compartment. Transcripts downregulated in the axons upon Smn depletion were especially enriched for GOterms related to RNA processing and encode proteins located in neuron projections including axons and growth cones. Strinkingly, among the upregulated transcripts in the somatodendritic compartment we mainly found MHC class I transcripts suggesting a potential neuroprotective role. In contrast, although knockdown of Tdp-43 also revealed a large number of downregulated transcripts in the axonal compartment, these transcripts were mainly associated with functions in transcriptional regulation and RNA splicing. For the hnRNP R knockdown our results were again different. Here, we observed downregulated transcripts in the axonal compartment mainly associated with regulation of synaptic transmission and nerve impulses. Interestingly, a comparison between deregulated transcripts in the axonal compartment of both hnRNP R and 7SK knockdown presented a significant overlap of several transcripts suggesting some common mechanism for both knockdowns. Thus, our data indicate that a loss of disease-associated proteins involved in axonal RNA transport causes distinct transcriptome alterations in motor axons.}, subject = {Axon}, language = {en} } @article{BrieseSaalAppenzelleretal.2015, author = {Briese, Michael and Saal, Lena and Appenzeller, Silke and Moradi, Mehri and Baluapuri, Apoorva and Sendtner, Michael}, title = {Whole transcriptome profiling reveals the RNA content of motor axons}, series = {Nucleic Acids Research}, journal = {Nucleic Acids Research}, doi = {10.1093/nar/gkv1027}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-126800}, year = {2015}, abstract = {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.}, language = {en} }