AIMC Topic: Gene Knock-In Techniques

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Combining feature selection and shape analysis uncovers precise rules for miRNA regulation in Huntington's disease mice.

BMC bioinformatics Feb 24, 2020
BACKGROUND: MicroRNA (miRNA) regulation is associated with several diseases, including neurodegenerative diseases. Several approaches can be used for modeling miRNA regulation. However, their precision may be limited for analyzing multidimensional da...
Humans Machine Learning Brain Animals RNA-Seq Mice RNA, Messenger Proteomics Disease Models, Animal MicroRNAs Neurons Gene Expression Regulation Trinucleotide Repeats Huntington Disease Huntingtin Protein Gene Knock-In Techniques
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Deep learning image recognition enables efficient genome editing in zebrafish by automated injections.

PloS one Jan 7, 2019
One of the most popular techniques in zebrafish research is microinjection. This is a rapid and efficient way to genetically manipulate early developing embryos, and to introduce microbes, chemical compounds, nanoparticles or tracers at larval stages...
Animals Deep Learning Zebrafish Embryonic Development Gene Editing Embryo, Nonmammalian Microinjections Gene Knock-In Techniques
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Prospective identification of hematopoietic lineage choice by deep learning.

Nature methods Feb 20, 2017
Differentiation alters molecular properties of stem and progenitor cells, leading to changes in their shape and movement characteristics. We present a deep neural network that prospectively predicts lineage choice in differentiating primary hematopoi...
Neural Networks, Computer Machine Learning Biomarkers Animals Male Image Processing, Computer-Assisted Area Under Curve Cell Differentiation Trans-Activators Cell Lineage Proto-Oncogene Proteins Hematopoietic Stem Cells Gene Knock-In Techniques Mice, Mutant Strains Time-Lapse Imaging
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