Induction of multiple follicular development and superovulation in the olive baboon, Papio anubis

1991 ◽  
Vol 20 (6) ◽  
pp. 308-314
Author(s):  
Thomas J. McCarthy ◽  
Jeffrey D. Fortman ◽  
Melinda L. Boice ◽  
Asgerally T. Fazleabas ◽  
Harold G. Verhage
2022 ◽  
Vol 15 ◽  
Author(s):  
Artur Agaronyan ◽  
Raeyan Syed ◽  
Ryan Kim ◽  
Chao-Hsiung Hsu ◽  
Scott A. Love ◽  
...  

The olive baboon (Papio anubis) is phylogenetically proximal to humans. Investigation into the baboon brain has shed light on the function and organization of the human brain, as well as on the mechanistic insights of neurological disorders such as Alzheimer’s and Parkinson’s. Non-invasive brain imaging, including positron emission tomography (PET) and magnetic resonance imaging (MRI), are the primary outcome measures frequently used in baboon studies. PET functional imaging has long been used to study cerebral metabolic processes, though it lacks clear and reliable anatomical information. In contrast, MRI provides a clear definition of soft tissue with high resolution and contrast to distinguish brain pathology and anatomy, but lacks specific markers of neuroreceptors and/or neurometabolites. There is a need to create a brain atlas that combines the anatomical and functional/neurochemical data independently available from MRI and PET. For this purpose, a three-dimensional atlas of the olive baboon brain was developed to enable multimodal imaging analysis. The atlas was created on a population-representative template encompassing 89 baboon brains. The atlas defines 24 brain regions, including the thalamus, cerebral cortex, putamen, corpus callosum, and insula. The atlas was evaluated with four MRI images and 20 PET images employing the radiotracers for [11C]benzamide, [11C]metergoline, [18F]FAHA, and [11C]rolipram, with and without structural aids like [18F]flurodeoxyglycose images. The atlas-based analysis pipeline includes automated segmentation, registration, quantification of region volume, the volume of distribution, and standardized uptake value. Results showed that, in comparison to PET analysis utilizing the “gold standard” manual quantification by neuroscientists, the performance of the atlas-based analysis was at >80 and >70% agreement for MRI and PET, respectively. The atlas can serve as a foundation for further refinement, and incorporation into a high-throughput workflow of baboon PET and MRI data. The new atlas is freely available on the Figshare online repository (https://doi.org/10.6084/m9.figshare.16663339), and the template images are available from neuroImaging tools & resources collaboratory (NITRC) (https://www.nitrc.org/projects/haiko89/).


2020 ◽  
Vol 49 (6) ◽  
pp. 337-340
Author(s):  
Elizabeth A. Clemmons ◽  
Olga Gonzalez ◽  
Jason Thornton ◽  
Shyamesh Kumar ◽  
Edward J. Dick

1994 ◽  
Vol 9 (8) ◽  
pp. 1469-1470 ◽  
Author(s):  
D.J. Cahill ◽  
R. Fox ◽  
P.G. Wardle ◽  
C.R. Harlow

GigaScience ◽  
2020 ◽  
Vol 9 (12) ◽  
Author(s):  
Sanjit Singh Batra ◽  
Michal Levy-Sakin ◽  
Jacqueline Robinson ◽  
Joseph Guillory ◽  
Steffen Durinck ◽  
...  

Abstract Background Baboons are a widely used nonhuman primate model for biomedical, evolutionary, and basic genetics research. Despite this importance, the genomic resources for baboons are limited. In particular, the current baboon reference genome Panu_3.0 is a highly fragmented, reference-guided (i.e., not fully de novo) assembly, and its poor quality inhibits our ability to conduct downstream genomic analyses. Findings Here we present a de novo genome assembly of the olive baboon (Papio anubis) that uses data from several recently developed single-molecule technologies. Our assembly, Panubis1.0, has an N50 contig size of ∼1.46 Mb (as opposed to 139 kb for Panu_3.0) and has single scaffolds that span each of the 20 autosomes and the X chromosome. Conclusions We highlight multiple lines of evidence (including Bionano Genomics data, pedigree linkage information, and linkage disequilibrium data) suggesting that there are several large assembly errors in Panu_3.0, which have been corrected in Panubis1.0.


Author(s):  
E. Chanove ◽  
A.M. Ionică ◽  
D. Hochman ◽  
F. Berchtold ◽  
C.M. Gherman ◽  
...  
Keyword(s):  

Author(s):  
R.A. Wilson ◽  
Patricia S. Coulson ◽  
R.F. Sturrock ◽  
G.D.F. Reid
Keyword(s):  

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