An improved method of direct chromosome preparation from chorionic villus and high resolution banding technique

1989 ◽  
Vol 9 (8) ◽  
pp. 589-593 ◽  
Author(s):  
Sheng Xiao ◽  
Quan-Zhang Liu ◽  
Ru-Bin Wang ◽  
Mao-Ying Zhang ◽  
Pu Li
Keyword(s):  
High Resolution ◽  
Chorionic Villus ◽  
Chromosome Preparation ◽  
Banding Technique ◽  
Improved Method ◽  
Resolution Banding

A girl with an interstitial deletion of the short arm of chromosome 3 studied with a high-resolution banding technique

1981 ◽  
Vol 59 (2) ◽  
pp. 178-181 ◽  
Author(s):  
Zhang Sichong ◽  
The-Hung Bui ◽  
Isabel Castro ◽  
Lennart Iselius ◽  
Stellan H�kansson ◽  
...  
Keyword(s):  
High Resolution ◽  
Interstitial Deletion ◽  
Banding Technique ◽  
Chromosome 3 ◽  
Resolution Banding

scholarly journals Predicting placenta transcriptional regulatory interactions based on immunohistochemistry images data and convolutional neural network

2020 ◽  
Author(s):  
Yajun Liu ◽  
Yilin Guo ◽  
Ya Gao ◽  
Guiming Hu ◽  
Ju Ma ◽  
...  
Keyword(s):  
Neural Network ◽  
High Resolution ◽  
Convolutional Neural Network ◽  
Human Placenta ◽  
Chorionic Villus ◽  
Gene Interaction ◽  
Gene Interaction Networks ◽  
Transcriptional Regulatory ◽  
High Resolution Images

Aims: The dysfunction of placenta development is correlated to the defects of pregnancy and fetal growth. The detailed molecular mechanism of placenta development is not identified in human due to the lack of material in vivo. Image-based reconstructions of GRN are still very underdeveloped. Methods and Results: In this study, immunohistochemistry images of different TFs in chorionic villus were obtained by a high-resolution scanner. Next, we used a convolutional neural network and machine learning method to infer gene interaction networks of human placenta from these images based on the transfer learning technique. The experimental results show that deep learning models reveals regulatory roles that have not yet been fully recognized. The spatial expression data reveal new regulatory relationships that traditional experiments have failed to recognize, and has allowed the development of gene regulation networks based on the spatial distribution of gene expression. Conclusions: We demonstrate the effectiveness of this approach in building networks using high-resolution images of the human placenta. Our analysis is of certain significance for further exploration of the development of the placenta and the occurrence of pregnancy-related diseases in the future. The datasets and analysis provide a useful source for the researchers in the field of the maternal-fetal interface and the establishment of pregnancy.

scholarly journals Modification and evaluation of direct and high-resolution bonemarrow chromosome preparation techniques

Hereditas ◽  
2008 ◽  
Vol 104 (2) ◽  
pp. 245-252 ◽  
Author(s):  
I. KÖPF ◽  
K.-G. STRID ◽  
W. K. HENEEN ◽  
B. MAGNUSSON ◽  
I. BRANEHÖG
Keyword(s):  
High Resolution ◽  
Chromosome Preparation ◽  
Preparation Techniques
Sign in / Sign up

Export Citation Format

Share Document