PMID- 26520383
OWN - NLM
STAT- MEDLINE
DCOM- 20160209
LR  - 20151102
IS  - 1879-3592 (Electronic)
IS  - 1383-5718 (Linking)
VI  - 793
DP  - 2015 Nov
TI  - High-throughput sample processing and sample management; the functional evolution 
      of classical cytogenetic assay towards automation.
PG  - 132-41
LID - S1383-5718(15)00201-6 [pii]
LID - 10.1016/j.mrgentox.2015.07.011 [doi]
AB  - High-throughput individual diagnostic dose assessment is essential for medical 
      management of radiation-exposed subjects after a mass casualty. Cytogenetic 
      assays such as the Dicentric Chromosome Assay (DCA) are recognized as the gold 
      standard by international regulatory authorities. DCA is a multi-step and 
      multi-day bioassay. DCA, as described in the IAEA manual, can be used to assess 
      dose up to 4-6 weeks post-exposure quite accurately but throughput is still a 
      major issue and automation is very essential. The throughput is limited, both in 
      terms of sample preparation as well as analysis of chromosome aberrations. Thus, 
      there is a need to design and develop novel solutions that could utilize 
      extensive laboratory automation for sample preparation, and bioinformatics 
      approaches for chromosome-aberration analysis to overcome throughput issues. We 
      have transitioned the bench-based cytogenetic DCA to a coherent process 
      performing high-throughput automated biodosimetry for individual dose assessment 
      ensuring quality control (QC) and quality assurance (QA) aspects in accordance 
      with international harmonized protocols. A Laboratory Information Management 
      System (LIMS) is designed, implemented and adapted to manage increased sample 
      processing capacity, develop and maintain standard operating procedures (SOP) for 
      robotic instruments, avoid data transcription errors during processing, and 
      automate analysis of chromosome-aberrations using an image analysis platform. Our 
      efforts described in this paper intend to bridge the current technological gaps 
      and enhance the potential application of DCA for a dose-based stratification of 
      subjects following a mass casualty. This paper describes one such potential 
      integrated automated laboratory system and functional evolution of the classical 
      DCA towards increasing critically needed throughput.
CI  - Published by Elsevier B.V.
FAU - Ramakumar, Adarsh
AU  - Ramakumar A
AD  - Scientific Research Department, Armed Forces Radiobiology Research Institute, 
      8901 Wisconsin Avenue, Bldg. 42, Bethesda, MD 20889, USA. Electronic address: 
      adarsh.ramakumar@usuhs.edu.
FAU - Subramanian, Uma
AU  - Subramanian U
AD  - Scientific Research Department, Armed Forces Radiobiology Research Institute, 
      8901 Wisconsin Avenue, Bldg. 42, Bethesda, MD 20889, USA.
FAU - Prasanna, Pataje G S
AU  - Prasanna PG
AD  - Scientific Research Department, Armed Forces Radiobiology Research Institute, 
      8901 Wisconsin Avenue, Bldg. 42, Bethesda, MD 20889, USA.
LA  - eng
GR  - Y1-AI-5045-04/AI/NIAID NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
DEP - 20150728
PL  - Netherlands
TA  - Mutat Res Genet Toxicol Environ Mutagen
JT  - Mutation research. Genetic toxicology and environmental mutagenesis
JID - 101632149
SB  - IM
MH  - Automation, Laboratory/*standards
MH  - Chromosome Aberrations
MH  - Chromosomes, Human/genetics/radiation effects
MH  - Cytogenetic Analysis/instrumentation/*methods
MH  - High-Throughput Screening Assays/*instrumentation/methods
MH  - Humans
MH  - Radiometry/instrumentation/*methods
OTO - NOTNLM
OT  - Automation
OT  - Biodosimetry
OT  - Cytogenetic laboratory
OT  - Dicentric assay
OT  - Laboratory information system
OT  - Radiation exposure assessment
OT  - Radiation mass casualty triage
EDAT- 2015/11/02 06:00
MHDA- 2016/02/10 06:00
CRDT- 2015/11/02 06:00
PHST- 2015/07/20 00:00 [received]
PHST- 2015/07/23 00:00 [accepted]
PHST- 2015/11/02 06:00 [entrez]
PHST- 2015/11/02 06:00 [pubmed]
PHST- 2016/02/10 06:00 [medline]
AID - S1383-5718(15)00201-6 [pii]
AID - 10.1016/j.mrgentox.2015.07.011 [doi]
PST - ppublish
SO  - Mutat Res Genet Toxicol Environ Mutagen. 2015 Nov;793:132-41. doi: 
      10.1016/j.mrgentox.2015.07.011. Epub 2015 Jul 28.