scholarly journals NBLAST: Rapid, sensitive comparison of neuronal structure and construction of neuron family databases

2014 ◽  
Author(s):  
Marta Costa ◽  
James D. Manton ◽  
Aaron D. Ostrovsky ◽  
Steffen Prohaska ◽  
Gregory S. X. E. Jefferis

AbstractNeural circuit mapping is generating datasets of 10,000s of labeled neurons. New computational tools are needed to search and organize these data. We present NBLAST, a sensitive and rapid algorithm, for measuring pairwise neuronal similarity. NBLAST considers both position and local geometry, decomposing neurons into short segments; matched segments are scored using a probabilistic scoring matrix defined by statistics of matches and non-matches.We validated NBLAST on a published dataset of 16,129 single Drosophila neurons. NBLAST can distinguish neuronal types down to the finest level (single identified neurons) without a priori information. Cluster analysis of extensively studied neuronal classes identified new types and un-reported topographical features. Fully automated clustering organized the validation dataset into 1052 clusters, many of which map onto previously described neuronal types. NBLAST supports additional query types including searching neurons against transgene expression patterns. Finally we show that NBLAST is effective with data from other invertebrates and zebrafish.

2020 ◽  
Vol 28 (1) ◽  
pp. 181-195
Author(s):  
Quentin Vanhaelen

: Computational approaches have been proven to be complementary tools of interest in identifying potential candidates for drug repurposing. However, although the methods developed so far offer interesting opportunities and could contribute to solving issues faced by the pharmaceutical sector, they also come with their constraints. Indeed, specific challenges ranging from data access, standardization and integration to the implementation of reliable and coherent validation methods must be addressed to allow systematic use at a larger scale. In this mini-review, we cover computational tools recently developed for addressing some of these challenges. This includes specific databases providing accessibility to a large set of curated data with standardized annotations, web-based tools integrating flexible user interfaces to perform fast computational repurposing experiments and standardized datasets specifically annotated and balanced for validating new computational drug repurposing methods. Interestingly, these new databases combined with the increasing number of information about the outcomes of drug repurposing studies can be used to perform a meta-analysis to identify key properties associated with successful drug repurposing cases. This information could further be used to design estimation methods to compute a priori assessment of the repurposing possibilities.


2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Francesco Perrone ◽  
◽  
Maria Carmela Piccirillo ◽  
Paolo Antonio Ascierto ◽  
Carlo Salvarani ◽  
...  

Abstract Background Tocilizumab blocks pro-inflammatory activity of interleukin-6 (IL-6), involved in pathogenesis of pneumonia the most frequent cause of death in COVID-19 patients. Methods A multicenter, single-arm, hypothesis-driven trial was planned, according to a phase 2 design, to study the effect of tocilizumab on lethality rates at 14 and 30 days (co-primary endpoints, a priori expected rates being 20 and 35%, respectively). A further prospective cohort of patients, consecutively enrolled after the first cohort was accomplished, was used as a secondary validation dataset. The two cohorts were evaluated jointly in an exploratory multivariable logistic regression model to assess prognostic variables on survival. Results In the primary intention-to-treat (ITT) phase 2 population, 180/301 (59.8%) subjects received tocilizumab, and 67 deaths were observed overall. Lethality rates were equal to 18.4% (97.5% CI: 13.6–24.0, P = 0.52) and 22.4% (97.5% CI: 17.2–28.3, P < 0.001) at 14 and 30 days, respectively. Lethality rates were lower in the validation dataset, that included 920 patients. No signal of specific drug toxicity was reported. In the exploratory multivariable logistic regression analysis, older age and lower PaO2/FiO2 ratio negatively affected survival, while the concurrent use of steroids was associated with greater survival. A statistically significant interaction was found between tocilizumab and respiratory support, suggesting that tocilizumab might be more effective in patients not requiring mechanical respiratory support at baseline. Conclusions Tocilizumab reduced lethality rate at 30 days compared with null hypothesis, without significant toxicity. Possibly, this effect could be limited to patients not requiring mechanical respiratory support at baseline. Registration EudraCT (2020-001110-38); clinicaltrials.gov (NCT04317092).


eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Maximilian Joesch ◽  
David Mankus ◽  
Masahito Yamagata ◽  
Ali Shahbazi ◽  
Richard Schalek ◽  
...  

Resolving patterns of synaptic connectivity in neural circuits currently requires serial section electron microscopy. However, complete circuit reconstruction is prohibitively slow and may not be necessary for many purposes such as comparing neuronal structure and connectivity among multiple animals. Here, we present an alternative strategy, targeted reconstruction of specific neuronal types. We used viral vectors to deliver peroxidase derivatives, which catalyze production of an electron-dense tracer, to genetically identify neurons, and developed a protocol that enhances the electron-density of the labeled cells while retaining the quality of the ultrastructure. The high contrast of the marked neurons enabled two innovations that speed data acquisition: targeted high-resolution reimaging of regions selected from rapidly-acquired lower resolution reconstruction, and an unsupervised segmentation algorithm. This pipeline reduces imaging and reconstruction times by two orders of magnitude, facilitating directed inquiry of circuit motifs.


2018 ◽  
Author(s):  
Amy T. Desaulniers ◽  
Rebecca A. Cederberg ◽  
Elizabeth P. Carreiro ◽  
Channabasavaiah B. Gurumurthy ◽  
Brett R. White

ABSTRACTBackgroundThe advent of genetically engineered pig production has revealed a wide array of opportunities to enhance both biomedical and agricultural industries. One powerful method to develop these models is transgenesis; however, selection of a suitable promoter to drive transgene expression is critical. The cytomegalovirus (CMV) promoter is the most commonly used viral promoter as it robustly drives transgene expression in a ubiquitous nature. However, recent reports suggest that the level of CMV promoter activity is tissue-dependent in the pig. Therefore, the objective of this study was to quantify the activity of the CMV promoter in a wide range of porcine tissues. Swine harboring a CMV-ZsGreen1 transgene with a single integration site were utilized for this study. Thirty five tissue samples were collected from neonatal hemizygous (n = 3) and homozygous (n = 3) transgenic piglets and analyzed for ZsGreen1 abundance via immunoblot.ResultsZsGreen1 was detected in all tissues examined; however, quantification revealed that ZsGreen1 protein levels were tissue-specific. Within organs of the digestive system, for example, ZsGreen1 was most abundant in the salivary gland, moderately produced in the esophagus and levels were lowest in the stomach. Interestingly, abundance of ZsGreen1 also differed within organ. For instance, levels were highest in the right ventricle compared with other chambers of the heart. There was no effect of transgene dose as ZsGreen1 expression patterns were similar between homozygous and hemizygous piglets.ConclusionsUltimately, these results elucidate the tissue-specific activity of the CMV promoter in the neonatal pig. Moreover, this model can serve as a useful tool for research applications requiring reporter gene activity in mammalian organs.


eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Fred P Davis ◽  
Aljoscha Nern ◽  
Serge Picard ◽  
Michael B Reiser ◽  
Gerald M Rubin ◽  
...  

The anatomy of many neural circuits is being characterized with increasing resolution, but their molecular properties remain mostly unknown. Here, we characterize gene expression patterns in distinct neural cell types of the Drosophila visual system using genetic lines to access individual cell types, the TAPIN-seq method to measure their transcriptomes, and a probabilistic method to interpret these measurements. We used these tools to build a resource of high-resolution transcriptomes for 100 driver lines covering 67 cell types, available at http://www.opticlobe.com. Combining these transcriptomes with recently reported connectomes helps characterize how information is transmitted and processed across a range of scales, from individual synapses to circuit pathways. We describe examples that include identifying neurotransmitters, including cases of apparent co-release, generating functional hypotheses based on receptor expression, as well as identifying strong commonalities between different cell types.


2018 ◽  
Author(s):  
Fred P. Davis ◽  
Aljoscha Nern ◽  
Serge Picard ◽  
Michael B. Reiser ◽  
Gerald M. Rubin ◽  
...  

AbstractThe anatomy of many neural circuits is being characterized with increasing resolution, but their molecular properties remain mostly unknown. Here, we characterize gene expression patterns in distinct neural cell types of the Drosophila visual system using genetic lines to access individual cell types, the TAPIN-seq method to measure their transcriptomes, and a probabilistic method to interpret these measurements. We used these tools to build a resource of high-resolution transcriptomes for 100 driver lines covering 67 cell types, available at http://www.opticlobe.com. Combining these transcriptomes with recently reported connectomes helps characterize how information is transmitted and processed across a range of scales, from individual synapses to circuit pathways. We describe examples that include identifying neurotransmitters, including cases of co-release, generating functional hypotheses based on receptor expression, as well as identifying strong commonalities between different cell types.HighlightsTranscriptomes reveal transmitters and receptors expressed in Drosophila visual neuronsTandem affinity purification of intact nuclei (TAPIN) enables neuronal genomicsTAPIN-seq and genetic drivers establish transcriptomes of 67 Drosophila cell typesProbabilistic modeling simplifies interpretation of large transcriptome catalogs


2021 ◽  
Vol 118 (18) ◽  
pp. e2020125118
Author(s):  
Yoshiaki Kita ◽  
Hirozumi Nishibe ◽  
Yan Wang ◽  
Tsutomu Hashikawa ◽  
Satomi S. Kikuchi ◽  
...  

Precise spatiotemporal control of gene expression in the developing brain is critical for neural circuit formation, and comprehensive expression mapping in the developing primate brain is crucial to understand brain function in health and disease. Here, we developed an unbiased, automated, large-scale, cellular-resolution in situ hybridization (ISH)–based gene expression profiling system (GePS) and companion analysis to reveal gene expression patterns in the neonatal New World marmoset cortex, thalamus, and striatum that are distinct from those in mice. Gene-ontology analysis of marmoset-specific genes revealed associations with catalytic activity in the visual cortex and neuropsychiatric disorders in the thalamus. Cortically expressed genes with clear area boundaries were used in a three-dimensional cortical surface mapping algorithm to delineate higher-order cortical areas not evident in two-dimensional ISH data. GePS provides a powerful platform to elucidate the molecular mechanisms underlying primate neurobiology and developmental psychiatric and neurological disorders.


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 193-193
Author(s):  
Eirini P. Papapetrou ◽  
Damian Kovalovsky ◽  
Laurent Beloeil ◽  
Derek Sant’Angelo ◽  
Michel Sadelain

Abstract Stem cell engineering and targeted in vivo gene delivery increasingly require tight control of transgene expression. Lineage- and differentiation stage-specific gene regulation is classically afforded by pol-II-dependent transcript regulation. A super-imposed layer of post-transcriptional control would be valuable to correct undesirable expression patterns or fine-tune developmentally regulated or inducible gene expression. microRNAs (miRNAs) have recently emerged as potent repressors of gene expression at the post-transcriptional level. In this study, we investigate the potential of using miRNA regulation to provide lineage-restricted expression, exploiting miRNAs with distinctive expression patterns in hematopoietic tissue. miR-223 is preferentially expressed in granulocytes and monocytes (80-and 110-fold, respectively). miR-181a is highly expressed in B-lymphocytes and, particularly, in thymocytes, but down-regulated (∼1000-fold) in post-thymic T cells. We, therefore, constructed lentiviral vectors encoding either green fluorescent protein (GFP) or an antigen-specific receptor, placed under the transcriptional control of the ubiquitous EF1a promoter and tagged with miRNA-recognition elements (MREs) complementary to the mature miR-223 or miR-181a. In a panel of murine and human cell lines expressing varying levels of the two miRNAs we find that GFP knockdown is dependent on the presence of the miRNA and directly proportional to the number of MRE repeats. Four copies of the repeat permit better down-regulation than 2 copies (albeit depending on the level of endogenous miRNA). Two different MREs can be combined in tandem, resulting in additive down-regulation. In vivo, in mouse bone marrow chimeras harboring the miR-223-responsive vector, GFP expression is specifically repressed in myeloid cells (&gt;85% compared to the control vector lacking miRNA target sequences). Reciprocally, chimeras harboring the miR-181a-regulated vector express GFP in myeloid and erythroid lineages, but transgene expression is profoundly repressed in thymocytes and B-cell progenitors. A vector harboring a composite MRE confers GFP expression almost exclusively confined to the erythroid lineage. These results demonstrate for the first time that transgene expression can be selectively regulated at the post-transcriptional level within the hematopoietic tissue. In mouse chimeras expressing a CD19-specific antigen receptor (which we and others are currently using in clinical trials in B cell malignancies), we analyze receptor expression in the 4 double negative subsets (DN1, DN2, DN3 and DN4), the double-positive subset (DP), and the CD4+ and CD8+ single positive (SP) subsets. We detail and quantify receptor knock-down at each developmental stage, and show that miR-181a-mediated regulation prevents receptor expression at critical stages of positive and negative thymic selection. Antigen receptor expression is dramatically repressed in DN and DP cells, while rising in CD4+ and CD8+ SP thymocytes. Importantly, expression is fully restored in post-thymic T cells, and maintained in activated T cells. miRNA-mediated post-transcriptional regulation is thus proving to be a powerful means to direct lineage- and differentiation stage-specific transgene expression in genetically modified stem cells.


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