AIMC Topic: Cell Lineage
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Prognostic Significance of Immune Cell Populations Identified by Machine Learning in Colorectal Cancer Using Routine Hematoxylin and Eosin-Stained Sections.
Clinical cancer research : an official journal of the American Association for Cancer Research
May 21, 2020
PURPOSE: Although high T-cell density is a well-established favorable prognostic factor in colorectal cancer, the prognostic significance of tumor-associated plasma cells, neutrophils, and eosinophils is less well-defined.
Deciphering epigenomic code for cell differentiation using deep learning.
BMC genomics
Sep 12, 2019
BACKGROUND: Although DNA sequence plays a crucial role in establishing the unique epigenome of a cell type, little is known about the sequence determinants that lead to the unique epigenomes of different cell types produced during cell differentiatio...
Robotic platform for microinjection into single cells in brain tissue.
EMBO reports
Aug 30, 2019
Microinjection into single cells in brain tissue is a powerful technique to study and manipulate neural stem cells. However, such microinjection requires expertise and is a low-throughput process. We developed the "Autoinjector", a robot that utilize...
Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis.
Journal of clinical pathology
Jun 29, 2019
AIMS: Morphological differentiation among different blast cell lineages is a difficult task and there is a lack of automated analysers able to recognise these abnormal cells. This study aims to develop a machine learning approach to predict the diagn...
Tracing cell lineages in videos of lens-free microscopy.
Medical image analysis
Jun 5, 2018
In vitro experiments with cultured cells are essential for studying their growth and migration pattern and thus, for gaining a better understanding of cancer progression and its treatment. Recent progress in lens-free microscopy (LFM) has rendered it...
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...
Basic fibroblast growth factor is critical to reprogramming buffalo (Bubalus bubalis) primordial germ cells into embryonic germ stem cell-like cells.
Theriogenology
Dec 29, 2016
Primordial germ cells (PGCs) are destined to form gametes in vivo, and they can be reprogrammed into pluripotent embryonic germ (EG) cells in vitro. Buffalo PGC have been reported to be reprogrammed into EG-like cells, but the identities of the major...
Predicting transcription factor site occupancy using DNA sequence intrinsic and cell-type specific chromatin features.
BMC bioinformatics
Jan 11, 2016
BACKGROUND: Understanding the mechanisms by which transcription factors (TF) are recruited to their physiological target sites is crucial for understanding gene regulation. DNA sequence intrinsic features such as predicted binding affinity are often ...
Transcriptomes of lineage-specific Drosophila neuroblasts profiled by genetic targeting and robotic sorting.
Development (Cambridge, England)
Dec 23, 2015
A brain consists of numerous distinct neurons arising from a limited number of progenitors, called neuroblasts in Drosophila. Each neuroblast produces a specific neuronal lineage. To unravel the transcriptional networks that underlie the development ...
Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ.
The Journal of comparative neurology
Jul 7, 2015
Generation of the primate cortex is characterized by the diversity of cortical precursors and the complexity of their lineage relationships. Recent studies have reported miscellaneous precursor types based on observer classification of cell biology f...
Video Recording
Brain
Hydrozoa
Cluster Analysis
Pattern Recognition, Automated
Animals
Unsupervised Machine Learning
Stem Cell Niche
Immunohistochemistry
Image Processing, Computer-Assisted
Cell Lineage
Stem Cells
Green Fluorescent Proteins
Microscopy, Confocal
Genetic Vectors
Markov Chains
Tissue Culture Techniques
Macaca fascicularis
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