Loo LH

Emerging technologies for food and drug safety

Published date : 23 Jul 2018

Emerging technologies are playing a major role in the generation of new approaches to assess the safety of both foods and drugs. However, the integration of emerging technologies in the regulatory decision-making process requires rigorous assessment and consensus amongst international partners and research communities.

type
Journal Paper
journal
Regulatory Toxicology and Pharmacology, Vol. 98, Oct 2018, Pg 115-128, doi: 10.1016/j.yrtph.2018.07.013
Impact Factor
2.815

Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence

Published date : 28 Apr 2018

Human lungs are susceptible to the toxicity induced by soluble xenobiotics. However, the direct cellular effects of many pulmonotoxic chemicals are not always clear, and thus, a general in vitro assay for testing pulmonotoxicity applicable to a wide variety of chemicals is not currently available. Here, we report a study that uses high-throughput imaging and artificial intelligence to build an in vitro pulmonotoxicity assay by automatically comparing and selecting human lung-cell lines and their associated quantitative phenotypic features most predictive of in vivo pulmonotoxicity.

type
Journal Paper
journal
Archives of Toxicology, April 2018, doi: 10.1007/s00204-018-2213-0
Impact Factor
5.901

High-throughput Prediction of Nephrotoxicity in Humans

Published date : 05 Nov 2017

The Lush Science Prize 2016 was awarded to Daniele Zink and Lit-Hsin Loo for the interdisciplinary
and collaborative work between their research groups in developing alternative methods for the
prediction of nephrotoxicity in humans. The collaboration has led to the establishment of a series of pioneering alternative methods for nephrotoxicity prediction, which includes: predictive gene expression
markers based on pro-inflammatory responses; predictive in vitro cellular models based on pluripotent

type
Journal Paper
journal
ATLA 45, Pg 241-252, 5 Nov 2017
Impact Factor
1.021

Early spatiotemporal-specific changes in intermediate signals are predictive of cytotoxic sensitivity to TNFα and co-treatments

Published date : 08 Mar 2017

Signaling pathways can generate different cellular responses to the same cytotoxic agents. Current quantitative models for predicting these differential responses are usually based on large numbers of intracellular gene products or signals at different levels of signaling cascades. Here, we report a study to predict cellular sensitivity to tumor necrosis factor alpha (TNFα) using high-throughput cellular imaging and machine-learning methods.

type
Journal Paper
journal
Scientific Reports 7, Article 43541 (2017), doi:10.1038/srep43541
Impact Factor
5.228

Large-scale image-based screening and profiling of cellular phenotypes

Published date : 19 Jul 2016

Cellular phenotypes are observable characteristics of cells resulting from the interactions of intrinsic and extrinsic chemical or biochemical factors. Image-based phenotypic screens under large numbers of basal or perturbed conditions can be used to study the influences of these factors on cellular phenotypes. Hundreds to thousands of phenotypic descriptors can also be quantified from the images of cells under each of these experimental conditions. Therefore, huge amounts of data can be generated, and the analysis of these data has become a major bottleneck in large-scale phenotypic screens.

type
Journal Paper
journal
Cytometry Part A, 2016, doi: 10.1002/cyto.a.22909
Impact Factor
3.18

High-throughput imaging-based nephrotoxicity prediction for xenobiotics with diverse chemical structures

Published date : 27 Nov 2015

The kidney is a major target for xenobiotics, which include drugs, industrial chemicals, environmental

type
Journal Paper
journal
Archives of Toxilogy, 2015, doi: 10.1007/s00204-015-1638-y
Impact Factor
5.98

Prediction of drug-induced nephrotoxicity and injury mechanisms with human induced pluripotent stem cell-derived cells and machine learning methods

Published date : 27 Jul 2015

The renal proximal tubule is a main target for drug-induced toxicity. The prediction of proximal tubular toxicity during drug development remains difficult. Any in vitro methods based on induced pluripotent stem cell-derived renal cells had not been developed, so far. Here, we developed a rapid 1-step protocol for the differentiation of human induced pluripotent stem cells (hiPSC) into proximal tubular-like cells. These proximal tubular-like cells had a purity of >90% after 8 days of

type
Journal Paper
journal
Scientific Reports 2015, 5:12337, doi: 10.1038/srep12337

Quantitative Protein Localization Signatures Reveal an Association between Spatial and Functional Divergences of Proteins

Published date : 06 Mar 2014

Protein subcellular localization is a major determinant of protein function. However, this important protein feature is often described in terms of discrete and qualitative categories of subcellular compartments, and therefore it has limited applications in quantitative protein function analyses. Here, we present Protein Localization Analysis and Search Tools (PLAST), an automated analysis framework for constructing and comparing quantitative signatures of protein subcellular localization patterns based on microscopy images.

type
Journal Paper
journal
PLOS Computational Biology, March 2014, Vol. 10, Issue 3, doi : 10.1371/journal.pcbi.1003504
Impact Factor
4.867

cellXpress: a fast and user-friendly software platform for profiling cellular phenotypes

Published date : 22 Oct 2013

Background

High-throughput, image-based screens of cellular responses to genetic or chemical perturbations generate huge numbers of cell images. Automated analysis is required to quantify and compare the effects of these perturbations. However, few of the current freely-available bioimage analysis software tools are optimized for efficient handling of these images. Even fewer of them are designed to transform the phenotypic features measured from these images into discriminative profiles that can reveal biologically meaningful associations among the tested perturbations.

Results

type
Journal Paper
journal
BMC Bioinformatics 2013, 14(Suppl 16):S4, doi:10.1186/1471-2105-14-S16-S4
Impact Factor
3.02