HUPO BPP pilot study: A proteomics analysis of the mouse brain of different developmental stages

PROTEOMICS ◽  
2007 ◽  
Vol 7 (21) ◽  
pp. 4008-4015 ◽  
Author(s):  
Jing Wang ◽  
Yong Gu ◽  
Lihong Wang ◽  
Xingyi Hang ◽  
Yan Gao ◽  
...  
1983 ◽  
Vol 6 (3) ◽  
pp. 355-369 ◽  
Author(s):  
Ulrich Geppert ◽  
Ursula Küster

The presented pilot study analyzes the prerequisites of achievement motivation by studying children's wanting to do things themselves. The development of the intention to produce an outcome and the development of the self-concept are critical elements in this study. Wanting to do it oneself as a precursor of achievement motivation is inferred from children's articulations of the desire to perform tasks by themselves after their flow of action is interrupted by the experimenter. Forty-one children between 0;9 and 6;6 years of age were observed while playing with a collection of tasks. Classifying the children's various reactions to the experimental manipulations revealed different behavioral patterns that supported the hypothesis of developmental stages of wanting to do things oneself; these stages corresponded to the degree of development of self-concept. The prerequisites of achievement motivation such as centering on the action-outcome, attributing outcome to the self as the originator, and relating outcome to a sense of competence were identified.


2019 ◽  
Author(s):  
Purushothaman Kathiresan ◽  
Christopher Presslauer ◽  
Prem Prakash Das ◽  
Lim Teck Kwang ◽  
Steinar Dae Johansen ◽  
...  

Abstract Background: Zebrafish is a well-recognised organism for investigating vertebrate development and human diseases. However, the data on zebrafish proteome are scarce, particularly during embryogenesis. This is mostly due to the overwhelming abundance of egg yolk proteins, which tend to mask the detectable presence of less abundant proteins. Results: In this study, we developed an efficient procedure to reduce the amount of yolk in zebrafish early embryos to improve the LC-MS-based shotgun proteomics analysis. We demonstrated that the deyolking procedure resulted in a greater number of proteins being identified. This protocol resulted in approximately two-fold increase in the number of proteins identified in deyolked samples at cleavage stages, and the number of identified proteins increased greatly by 3-4 times compared to non-deyolked samples in both oblong and bud stages. Gene Ontology and KEGG analysis revealed a high number of functional proteins differentially accumulated in the deyolked versus non-deyolked samples. The most prominent enrichments after the deyolking procedure included processes, functions and components related to cellular organization, cell cycle, control of replication and translation, and mitochondrial functions. Conclusion: This deyolking procedure improves both qualitative and quantitative proteome analyses and provides an innovative tool in molecular embryogenesis of polylecithal animals, such as fish, amphibians, reptiles, or birds.


eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
David M Young ◽  
Siavash Fazel Darbandi ◽  
Grace Schwartz ◽  
Zachary Bonzell ◽  
Deniz Yuruk ◽  
...  

3D imaging data necessitate 3D reference atlases for accurate quantitative interpretation. Existing computational methods to generate 3D atlases from 2D-derived atlases result in extensive artifacts, while manual curation approaches are labor-intensive. We present a computational approach for 3D atlas construction that substantially reduces artifacts by identifying anatomical boundaries in the underlying imaging data and using these to guide 3D transformation. Anatomical boundaries also allow extension of atlases to complete edge regions. Applying these methods to the eight developmental stages in the Allen Developing Mouse Brain Atlas (ADMBA) led to more comprehensive and accurate atlases. We generated imaging data from 15 whole mouse brains to validate atlas performance and observed qualitative and quantitative improvement (37% greater alignment between atlas and anatomical boundaries). We provide the pipeline as the MagellanMapper software and the eight 3D reconstructed ADMBA atlases. These resources facilitate whole-organ quantitative analysis between samples and across development.


FEBS Letters ◽  
2010 ◽  
Vol 584 (5) ◽  
pp. 845-851 ◽  
Author(s):  
Giorgio Gorini ◽  
Olga Ponomareva ◽  
Kevin S. Shores ◽  
Maria D. Person ◽  
R. Adron Harris ◽  
...  

2020 ◽  
Author(s):  
David M Young ◽  
Siavash Fazel Darbandi ◽  
Grace Schwartz ◽  
Zachary Bonzell ◽  
Deniz Yuruk ◽  
...  

Abstract3D imaging data necessitate 3D reference atlases for accurate quantitative interpretation. Existing computational methods to generate 3D atlases from 2D-derived atlases result in extensive artifacts, while manual curation approaches are labor-intensive. We present a computational approach for 3D atlas construction that substantially reduces artifacts by identifying anatomical boundaries in the underlying imaging data and using these to guide 3D transformation. Anatomical boundaries also allow extension of atlases to complete edge regions. Applying these methods to the eight developmental stages in the Allen Developing Mouse Brain Atlas (ADMBA) led to more comprehensive and accurate atlases. We generated imaging data from fifteen whole mouse brains to validate atlas performance and observed qualitative and quantitative improvement (37% greater alignment between atlas and anatomical boundaries). We provide the methods as the MagellanMapper software and the eight 3D reconstructed ADMBA atlases. These resources facilitate whole-organ quantitative analysis between samples and across development.


2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Chuanzhi Zhao ◽  
Shuzhen Zhao ◽  
Lei Hou ◽  
Han Xia ◽  
Jiangshan Wang ◽  
...  

2019 ◽  
Vol 10 ◽  
Author(s):  
Raul Chavez-Valdez ◽  
Amin Mottahedin ◽  
Linnea Stridh ◽  
Tracylyn R. Yellowhair ◽  
Lauren L. Jantzie ◽  
...  

BMC Biology ◽  
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Elin Lundin ◽  
Chenglin Wu ◽  
Albin Widmark ◽  
Mikaela Behm ◽  
Jens Hjerling-Leffler ◽  
...  

Abstract Background Adenosine-to-inosine (A-to-I) RNA editing is a process that contributes to the diversification of proteins that has been shown to be essential for neurotransmission and other neuronal functions. However, the spatiotemporal and diversification properties of RNA editing in the brain are largely unknown. Here, we applied in situ sequencing to distinguish between edited and unedited transcripts in distinct regions of the mouse brain at four developmental stages, and investigate the diversity of the RNA landscape. Results We analyzed RNA editing at codon-altering sites using in situ sequencing at single-cell resolution, in combination with the detection of individual ADAR enzymes and specific cell type marker transcripts. This approach revealed cell-type-specific regulation of RNA editing of a set of transcripts, and developmental and regional variation in editing levels for many of the targeted sites. We found increasing editing diversity throughout development, which arises through regional- and cell type-specific regulation of ADAR enzymes and target transcripts. Conclusions Our single-cell in situ sequencing method has proved useful to study the complex landscape of RNA editing and our results indicate that this complexity arises due to distinct mechanisms of regulating individual RNA editing sites, acting both regionally and in specific cell types.


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