Research of Harmful Substances in Water on Human Reproductive and Neuronal Cells Toxicity Translation Assessment (I)

Project: A - Government Institutionb - National Science and Technology Council

Project Details

Description

The research project will focus on the translation assessment study, which is the concentration of harmful substances in water such as TMAH, H2O2, indium, gallium, molybdenum, copper and carbon black compound on human reproductive and neurological and immune cells. According to the recommendations of the US Tox21 cooperation platform, our research will chose the following cells line, reproductive and nerve cells HeLa(humancervicalcarcinoma), U87‐MG(humanglioblastoma), SH‐SY5Y(humanneuroblastoma) and SK‐N‐SH(humanneuroblastoma), macrophages cell THP1(humanmonocyticleukemia). Our research methods based on cell toxicology studies, will conduct a series of human reproduction and nerve cells’ in vitro survival rate and toxicological analysis (including cell culture, MTT, LDH, FlowandConfocalanalysis), to establish a standard analytical methods. Besides, Time off light‐secondary ion Mass Spectrometer(TOF–SIMS) will be applied on mass imaging research. TOF–SIMS not only provides the mass spectrum but also have the localization concentration imaging information of the harmful substances in cells. According the research results, we could setup the domestic local human reproductive, nervous and immune cell toxicity identification and evaluation methods. The results also help to understand the toxicity of specific toxic substances in the metabolic pathway, and to identify the indicators of metabolic molecules can be used for rapid screening of water body’s toxic substances.
StatusFinished
Effective start/end date8/1/137/31/14

Keywords

  • TMAH
  • H2O2
  • indium
  • gallium
  • molybdenum
  • copper
  • carbonblack
  • humanreproductiveand neurological and immune cells
  • Time of flight ‐secondary ion Mass Spectrometer(TOF–SIMS)

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.