Previous Chapter: Appendix B: Automation in Threat Reduction and Infectious Disease Research: Needs and New Directions (agenda of the April 1999 Colloquium)
Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

INDEX

A

Active-X controls, 249

Acute respiratory distress syndrome, 57

Adaptive response, 115-116, 117

Adenoviral vector boost, 96

Advanced diagnostics

influenza, 21

microtechnologies, 20-21, 152, 153-154

point-of-use devices, 20-21

public health system, 196

sensitivity, 20

Affymetrix, Inc., 155

Africa

ebola outbreaks, 94, 95

influenza surveillance, 52

tuberculosis, 103, 104

Age

and mass immunizations, 40-41

and influenza, 48, 124, 128, 129

and spread of epidemics, 39

Agri-Screen, 152

AIDS. See HIV/AIDS

Alaskan wilderness, 124

Alert (ELISA system), 151

American Academy of Pediatrics, 58

American Society for Microbiology, 262

American Society for Testing and Materials (ASTM), 16, 17, 69, 244-245

Anthrax, 178, 179, 181, 183, 203-204, 222

Antibiotics.

See also Antimicrobial drug resistance

CDC guidelines for use, 58

discovery applications of high-throughput automated laboratories, 119-120

effect on normal flora, 119

microarray-based gene response profiling for, 113-120

misuse of, 35, 58, 101, 109

mode of action, 117-118

pathway-specific inhibitors, 118

tissue-specific growth inhibitors, 115, 118-119

Antibodies

anti-hemagglutinin, 124

cross-sectional serological surveys, 37-38, 39

saliva-based tests, 41

Antigenic shift and drift, influenza viruses, 123, 124, 126, 127, 129

Antimicrobial drug resistance, 55

acquired, 101, 102, 103, 106

adherence to treatment and, 101

beta-lactamase-producing bacteria, 34, 35

in bioweapons agents, 179, 180, 183

and costs of treatment, 110

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

disease control programs and, 101, 102, 104, 107-108, 109

DOTS and, 102, 104, 107, 108

global situation, 103-104

HIV/AIDS, 10, 45, 72, 73

isoniazid, 101-102, 104, 105, 106, 109, 114

laboratory issues, 102, 105-107, 109-110

malaria, 264

microarray gene response profiling, 114

pathway-specific inhibitors, 118

penicillin, 57

prevalence, 103-104

primary, 101, 102, 103, 106

research recommendations, 108

response strategies, 58

rifampin, 101-102, 105, 106, 110, 155

Staphylococcus aureus,

surveillance, 21, 102, 105-107, 101-110

susceptibility testing of drugs, 8, 21, 102, 105-107, 109, 110, 155, 156-157

tuberculosis, 5, 8, 9, 18, 101-110, 114, 155

vancomycin, 56, 57

volume of drug use and, 35, 58, 101, 109

Antiviral strategies.

See also Vaccines

HIV/AIDS, 10, 61, 62, 72, 73, 80

recombinant DNA techniques and, 98-99

AOAC International, 173

Applied biology, 239-240

Applied Biosystems, 264

Arabidopsis genome, 263

Argentina, 104

Asia

influenza surveillance, 52

spread of infectious agents in, 32-34

tuberculosis, 103-104

Association for Laboratory Automation, 16-17

Association of Public Health Laboratories, 150

ASTM E1989-98. See Laboratory Equipment Control Interface Specification

Aum Shinrikyo cult, 59, 181, 221-222

Auto3-P Communications with Automated Clinical Laboratory Systems, Instruments, Devices, and Information Systems standard, 249

Avian influenza, 5, 9, 52, 124, 127, 268

B

Bacillus globigii (BG), 218, 223

Bacteriological Analytical Manual,

Barcode applications, 22

Batch science.

See also High-throughput automated laboratories assay scripts, 65, 66, 70, 74, 75

HIV/AIDS research, 65-69, 70, 72-75, 77-82

hierarchy of machines, 22-23, 71

implementation, 77-82

Influenza A prediction/aversion, 129-130

process control tools, 21-22, 66, 67, 69, 70, 74, 77

security, 67, 69, 76

Bead-based assays, 19, 157-158, 195, 198-199, 200

Bennington, Vermont, 146

Bernoulli, Daniel, 32

BIACORE system, 153-154

Biocomputing.

See also Mathematical modeling

cell-sims, 232-233

and genome sequencing, 261, 264-266

Biocontainment facilities, 77, 150, 207, 209

Biodefense.

See also Bioforensics

flow cytometry applications, 19, 193-200

medical, 184-185

security strategy, 187-188, 205

Biodirected crystallization, 234

Bioforensics

collaboration at federal level, 208-209

critical components, 209-211

defined, 205-206

DNA technology, 198, 208, 210-211

FBI role, 203-204, 206

national network, 204-206

needs, 206-208

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

Biological and Toxin Weapons Convention, 178, 179, 190-191

Biological sciences

data avalanche in, 236-237

discovery and technological change in, 228-234

and microtechnologies, 20, 64

Biology

applied, 239-240

as information science, 234-236

Biomedical databases, 85-86

Biopreparat, 13-14, 180, 183

Biosensor assays, 143, 153-154

Bioterrorism/biowarfare.

See also Biodefense;

Bioweapons;

Weapons of mass destruction

catastrophic, 187-191

challenges in mitigating, 13-15, 25-26, 140, 267

European concerns, 31

food contamination, 135, 139-140, 147-148, 149, 150, 153, 154, 160, 177, 181

forensic perspective on, 203-212

institutional coordination of response, 13, 141, 150, 160, 190, 206

interdisciplinary perspective, 13, 140, 190

international infrastructure for, 188-189

laboratory issues, 14-15

mathematical modeling applications, 31-32

New York City subway system scenario, 223

offensive components, 215-216

plants as targets, 263

preparedness and response strategies, 5-6, 13, 14-15, 21, 58-59, 148, 150, 153, 154, 184-185, 187-188, 189-191, 204, 262

preventive measures, 188, 189

religious cults and, 147, 181, 204, 221-222

San Francisco scenario, 218-220

simulations, 215-223

small attacks, 5

surveillance, 189, 190

U.S. vulnerability to attacks, 58, 139-140, 180-181, 188-189, 203-204, 218-220

Biotinylated oligonucleotide probes, 157-158

Bioweapons

agents, 59, 178-179, 180, 181, 183, 203-204

convention/ban, 178, 179, 180, 190-191

costs and ease of production, 14, 177, 181

deployment/dissemination modes, 177-178, 215-218

dual-use production equipment/research, 182-183, 185

enforcement of bans on, 13, 180, 183, 190-191, 205

history of use, 178-179, 181

human-animal studies, 220-221

ID50, 20-21, 221

medical defense against, 184-185

nonproliferation assays, 198

operational, 179

proliferation risks, 14, 181-183, 203-212, 220-221

Soviet program, 13-14, 178-180, 181-183, 203

strategic, 179

terrorist threat, 180-181

U.S. program, 14, 178, 179, 222

Black Death. See Plague

BLAST (Basic Local Alignment Search Tool), 88

Bomb Data Center, 206

Botulinum toxin, 147, 148

Botulism, 158

Bovine spongiform encephalopathy (BSE), 42-45

Bristol-Myers Squibb (BMS), 249, 258

Brown, Patrick, 114

Brucellosis, 179

Burke, Edmund, 136

Burke, John, 58

C

Campylobacter jejuni,

Canada, 55

Cancer, 18, 90-91

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

Cancer Genome Anatomy Project, 90-91

cDNA

labeling and hybridization, 18, 113, 114-115, 155

libraries, 90-91, 261

Celera, 265

Cell-sims, 232-233

Center for Food Safety and Applied Nutrition, 140

Centers for Disease Control and Prevention (CDC)

bioterrorism response, 150, 208

emerging-infections initiative, 56, 57-58, 59

guidelines for antibiotic use, 58

influenza projections, 8

pathogen databases, 12, 51

and WHO influenza surveillance, 10, 47, 49

Central Intelligence Agency, 190

Chain terminating amplification and gel electrophoresis, 18

Chargaff, Erwin, 228

Chemokine receptors, 61

Chicken pox, 39-40

China, 32, 48, 49, 52

tuberculosis, 103-104, 106, 107

Cholera toxin detection, 199-200

CJISWAN, 211

Claremont College, 239-240

Clostridium difficile Toxin A test, 152-153

Cocolithophoids, 234

CODIS (Combined DNA Indexing System), 210-211

Collaboratories, 61-62

Collaborating centers for influenza, 49, 50, 53

Color multiplexing, 19

Common Command Set, 244-245

Computational power, 6, 64, 233, 265

Computer science, and microtechnologies, 20, 64

Congenital rubella syndrome, 41

Consortia

bioforensic, 208-209

data ownership, 24-25, 76-77

genome mapping centers, 89

industry-academic partnerships, 77-78

Consortium on Automated Analytical Laboratory Systems (CAALS), 244, 245, 249-250

Coordination of threat response

bioterrorism, 13, 141, 150, 160, 190, 206, 208-209

in bioforensics, 208-209

food safety, 12-13, 133-141, 144, 147, 150, 160

CORBA (Common Request Broker Architecture), 249, 252, 257

Cost-benefit models, 41-43

Coxiella burnetti,

Creutzfeldt-Jakob disease, 31, 43-44

Cross-sectional serological surveys for antibodies, 37-38, 39

CRS Robotics, Inc., 249, 258

Cryptosporidosis, 57, 146

Cuba, 182, 183

Cyclospora gastroenteritis, 55, 57

Cytotoxic cellular epitopes, 61

Cytotoxic T lymphocyte assays, 68, 72, 74-75

Czech Republic, 103

D

Databases

benchmark storage facilities, 64

biomedical, 85-86

cancer genomes, 90

challenges in developing, 87

DNA, 77, 86-88, 210-211

costs, 86

genome sequence, 51, 77, 88-89, 90, 236-237, 265

for high-throughput automated laboratories, 23-25

indexing for, 86, 87

intellectual property issues, 24-25

interconnectivity and interoperability, 210, 211, 231

location, 23

object-oriented systems, 23, 24, 231, 232

pathogen molecular fingerprints, 12, 19, 14, 21, 57-58

public, 77, 237

relational systems, 23-24, 231

re-releases, 88

search engines, 86, 88, 89, 211

security issues, 24

self-proofing software, 231

size, 6

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

syntax and semantics issues, 87-88

transcript map, 88

types and forms of data, 23

validation of information for, 86

XML standard, 24

DCOM (Distributed Component Object Model), 249, 257

Device Capability Dataset (DCD)

access and location, 252

function, 18, 244, 249, 258

origins, 249-250

representation and access, 251-252

static vs. nonstatic data, 251

status and directions, 252, 258

structure, 18, 250-251

Diagnostics. See Advanced diagnostics

Diarrhea and dysentery, 55, 146

Directly observed therapies (DOT), 8, 9, 102, 104, 107, 108

Discovery, and technological change, 228-234

DNA

cloning technology, 228

computer, 234

databases, 77, 86-88, 210-211

fragment sizing flow cytometry, 195-198

hybridization, 228

immunization, 94, 96

labeling, 19

ligase, 228

microarrays, 155, 157

profiling, 198, 208, 210-211

restriction digest of single molecules of single chromosomes, 264

sequencing, 228;

see also Genome sequencing

shuffling, 16, 28

synthesis, 229

DNA Data Bank of Japan, 77, 88

Dominican Republic, 103, 104

Dose, defined, 168 n.2

DOTS-Plus Working Group, 108

Drosophila genome, 237

Drug resistance. See Antimicrobial drug resistance

Dual-use technologies, 182-183, 185

Dugway Proving Ground, 218

E

Ebola virus/hemorrhagic fever, 55, 94-98, 99, 179

EcoCyc project, 117

Economic costs

of databases, 86

of antimicrobial drug resistance, 110

of influenza, 8, 48

of foodborne illnesses, 144, 145

of high-throughput automated laboratories, 1, 4, 78-79

Effector cell:target cell assays, 74

Eia Foss system, 151

Emerging diseases.

See also Foodborne illnesses;

Infectious diseases;

Pathogens;

specific diseases andpathogens

antimicrobial resistance considerations, 56, 58

bioterrorism considerations, 31, 58-59

CDC response, 56, 57-58, 59

contributing factors, 56-57

defined, 56

Ebola model, 94-98

European concerns, 31

evolution of, 32-33, 123, 125, 262

IOM landmark report, 56-57

outbreaks, 55-56, 94, 95, 101, 106, 123-124

re-emergence of ancient strains, 264

surveillance systems, 10-11, 56, 57-58

technology applications, 93-100

transmission of, 144-145

Endoplasmic reticulum trafficking signals, 98

Engineering in biology, 232-233

and microtechnologies, 20, 64

Enterotoxins, 151, 220

Enzyme-linked immunosorbent assays (ELISA), 19, 151-152, 153, 157

Epidemics.

See also Pandemics

chains of transmission, 37-38

plotting curves, 35-38

rate of spread, 37, 45

saturation, 37

critical vaccine coverage, 37

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

Epidemiologic modeling, 26-27

Epidemiologic perspectives

in foodborne illness, 144-147, 159

in high-throughput automated laboratories, 15, 23, 27

ErgoTech Systems, Inc., 249, 258

Escherichia coli,

gene cluster analysis, 117

malaria clones, 264

molecular fingerprinting, 198

O157:H7, 12, 31, 55, 57, 145, 146, 147, 148, 158

Estonia, 104

Ethambutol, 9, 102

Europe, 53

outbreaks of emerging diseases, 94, 95, 101, 124, 125

European Bioinformatics Institute, 89

European Molecular Biology Laboratory, 77, 88

Evanascent wave technology, 154

Exposure, defined, 168 n.2

EXPRESS, 252, 256-257

Expressed sequence tags (ESTs), 89, 90, 91, 261

Extensible Markup Language (XML), 24, 252

F

Fachhochschule Wiesbaden (FHW) University of Applied Sciences, 250, 252, 257-258

Federal Bureau of Investigation (FBI), 190, 203-204, 206, 210-211

Fermentation, 170

Finland, antibiotic resistance in bacteria, 35

Flow cytometry

antibiotic susceptibility testing, 156-157

bacterial species and strain identification, 196-198

in biodefense research, 19, 193-200

capabilities, 193-194

DNA fragment sizing, 195-198

foodborne pathogen detection, 19-20, 156-157

future directions, 200

in high-throughput automated laboratories, 19-20, 75, 195, 198, 200

in HIV/AIDS research, 75

microsphere-based assays, 19, 195, 198-200

overview, 19-20, 193-195

principles of operation, 19, 156, 193-195

sensitivity, 19, 193, 195-196, 198

Food and Drug Administration, 12, 140, 173

Food chemistry, 170-171

Food contaminants/contamination

additives, 171, 172

agents, 147

categories of constituents, 171-172

early detection of, 148

numbers of, 173

sources of risks, 170-172

terrorist events, 135, 139-140, 147-148, 149, 150, 153, 154, 160, 177, 181

testing for, 137-139, 151-157, 172-173

tolerances, 172

Food preservation, 170

Food processing, 170

Food safety

challenges in ensuring, 11-13, 267

defined, 133-134

enforcement of rules and regulations, 12, 160

evaluation, 172-173

federal approaches, 12-13, 140-141, 144, 147, 150, 160

high-throughput automated labs, 19-20, 137-139, 173

informatics resources, 12

inspection program, 136-137, 138, 140

interdisciplinary nature of, 140

meaning of, 133-134, 166-168

organizational perspective, 133-141, 144, 160

risk assessment data, 27-28, 168-173

risk-based decision making, 166, 167, 172

sampling considerations, 137

supply of food and, 133, 134-136

Food Safety and Inspection Service, 137, 138, 140

Food supply

threats to, 12, 134-136, 139-140, 263

U.S. trends, 133, 134-136

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

Foodborne illnesses

economic costs of, 144, 145

epidemiological trends, 144-147, 159

investigation of, 12-13, 147, 148, 149-150, 151, 153, 154, 158

mortality and morbidity, 11, 144

outbreaks, 12-13, 55, 56, 57, 145, 147, 148, 149-150, 151, 153, 154, 158

public health response to, 148-149

surveillance, 12, 58, 146, 147, 148-150, 154, 159, 160

transmission of, 144-145

U.S. burden, 144, 145

Foodborne pathogens.

See also individual pathogens

biosensor assays, 143, 153-154

detection of, 157-158

“fingerprint” database, 12, 19, 57-58, 159

flow cytometry analysis, 19-20, 156-157

hydroxyapatite recovery of, 157

infectivity of contaminated foods, 44, 148

known agents, 11, 31, 144, 145

magnetic-bead capture of, 157-158

microarray technology, 19, 143, 154-156, 159

microtiter immunoassay-based methods, 20, 143, 151-152

rapid, immunoassay-based kits, 152-153

screening approaches, 143, 149-150, 158-159

toxins, 151, 152-153, 154

universal platform for scrrening, 158-159

Forensics.

See Bioforensics

France, 89

Francicsella tularensis,

Functional genomics, 113

G

Gabon, 55

Gel electrophoresis, 18, 196

GenBank, 86-88

GeneChip Instrument System, 155

Gene cluster analysis, 117

GeneMachines microarray printer, 155-156

GenePix 4000A microarray scanner, 156

General Equipment Interface Specification (GEIS), 245

Genetic diversity, 93, 94, 208, 262, 265

Genomic sequencing annotation, 113

automated sequencers, 261, 264-265

biocomputing and, 261, 264-266

chain terminating amplification and gel electrophoresis, 18

cDNA oligomer applications, 18

databases, 51, 77, 88-89, 90, 236-237, 265

DNA restriction digest of single molecules of single chromosomes, 264

expressed sequence tag method, 89, 90, 91, 261

human, 6, 15, 26, 88-89, 233, 236-237, 261, 265

influenza viruses, 18-19, 25, 50, 52, 124-128, 268

insect, 237, 265

microbial, 18, 19-20, 26, 113, 261-264

mouse, 265

plant species, 263, 265

technologies for, 18-19, 26, 261, 264-265

transposon maps, 263

Whole Genome Shotgun Strategy, 261, 264

and whole-organism transposon mutagenesis, 263

Genotyping

and high-throughput automated laboratories, 15, 18-19, 23, 27

HIV, 62, 63, 68, 72, 73-74, 75

mass tagging technology, 238

and technological change, 237-239

Gibbs entropy, 236

Glanders, 179, 183

Global Project on Anti-Tuberculosis Drug Resistance Surveillance, 102-108

Glycoproteins, 96, 98-99

Glycosylation motifs, 98

gp160, 96

Grand challenges

bioterrorism/biowarfare mitigation, 5, 13-15, 25-26, 267

common themes, 6-7

defined, 1

food safety, 11-13, 267

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

high-throughput automated labs, 1, 10-11

human genetics, 15-16

infectious diseases, 1, 8-10, 25-26, 267

molecular medicine, 15-16, 25-26, 267

pharmaceutical screening, 15-16

problems for science, 6-7

technologies and approaches, 6, 16-28

Grants, 1-5, 24, 57, 76, 267-268

Great Britain, BSE epidemic, 43-45, 89, 180

H

Hantavirus, 57, 158

Hazard Analysis and Critical Control Points (HACCP) programs, 160

Hazardous Materials Response Unit (HMRU), 206

Healthy People 2000, influenza vaccination objectives, 52

Hemagglutinin (HA) surface protein, 50, 124, 125, 126, 127-128

Hemagglutination inhibition (HI) test, 50

Hemolytic uremic syndrome, 57, 146

Hemophilus influenzae,

Hemorrhagic colitis, 57

Hepatitis B, 55

Hepatitis E, 146

“Herald” wave, 126

Herd immunity profiling, 40, 41, 42

Herpesvirus, 96

Hewlett-Packard Gene Array Scanner, 155

High-throughput automated laboratories.

See also Batch science

adapting science, 77

advantages, 7, 11, 14-15, 53, 75, 138-139, 267-268

and antimicrobial drug resistance surveillance, 102, 105-107, 109-110

bioterrorism response capabilities, 14-15

commercially available systems for, 17, 62

containment facilities, 77

costs, 1, 4, 78-79

databases for, 23-25

disadvantages, 137-138

drug discovery applications, 119-120

epidemiologic perspective, 15, 23, 27

grants for, 1-5, 267-268

feasibility, 2, 268

first application, 268

flow cytometry applications in, 19-20, 75, 195, 198, 200

food safety applications, 19-20, 137-139, 173

genotypic perspective, 15, 18-19, 23, 27

HIV/AIDS research, 10, 62-63, 69-75

influenza surveillance, 9, 10-11, 18-19, 21, 53

infomatics tools, 25-26, 28, 229-230

immunologic testing instruments, 151-152

integration of hardware, 16, 17-18, 22, 23, 69, 77, 243-258

interconnection standards for, 16, 17-18, 69, 77, 243-258

Internet-accessible mass customized testing, ;

see also Batch science

and microarray-based gene response profiling, 119-120

miniaturization and, 20, 229-230

modular systems design, 23, 69, 71, 72, 77, 151-152, 230, 253

and molecular medicine, 15-16, 267

needs, 2, 268

obstacles, 268

overview, 7

pharmaceutical screening, 15

phenotypic perspective, 15, 23, 27

public-good nature of, 2, 4

sample characterization capabilities, 19-20

resource requirements, 78-79, 80, 82

run capacity, 22

statistical issues, 137-138

tuberculosis applications, 9, 18

validation of methods, 173

HIV/AIDS

antiretroviral therapies, 10, 61, 62, 72, 73, 80

asymptomatic phase, 93

cellular immunity and, 74-75

clades, 94

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

genetic variability, 93, 94, 208

genome, 79-80

genotyping, 62, 63, 68, 72, 73-74, 75

gp160 glycoprotein, 96, 98

immune response to, 93, 96-97

intervention success, 37

mortality and morbidity, 10, 32, 36, 55, 61

multidrug resistance, 10, 45, 72, 73

Nef gene product, 93, 96

prevalence/pandemic, 8, 10, 36-37, 44, 61

projections, 93

spread of, 93-94

strains, 10, 80, 81, 94

in sub-Saharan Africa, 32

surveillance, 94

tuberculosis co-infection, 9, 101, 107

vaccine development, 10, 61, 62, 65-66, 96

HIV/AIDS research

assays, 62, 64, 68, 72-75

batch science, 65-69, 70, 72-75, 77-82

challenges, 8, 10, 61-64

cytotoxic T lymphocyte assays, 68, 72, 74-75

flow cytometry, 75

high-throughput automated laboratories, 10, 62-63, 69-72

intellectual property issues, 70, 75-77

interdisciplinary perspective, 64

intermediate-scale “collaboratories,”

Internet applications, 70, 77-82

limitations of current laboratories, 64-65

mathematical modeling, 44, 45

molecular sequencing, 62, 63, 68, 72, 73-74, 75, 77, 79-80

phenotype surveys, 62, 63, 72

reproduction measurements, 74

standardization of assays, 75

systematic inventory, 62, 63

viral infectivity assays, 68, 69, 72-73, 75

HLA-restricted T cells, 74

HIV Sequence Database, 77

Hong Kong, 106

“chicken” (H5N1) flu, 8, 51, 56, 125, 127, 129, 268

Host-species barrier, 52, 125

Human Genome Project, 82, 237, 261

Human genome sequencing

genetic diversity, 265

infomatics and, 26, 229, 236-237

map, 88-89

medical applications, 6, 15, 265-266

Hydrodynamic focusing, 19

Hydroxyapatite, pathogen adherence to, 157

I

IAsys Auto+ Advantage, 154

IEEE 1394 (Firewire) interface, 244

Image processing of microarray scans, 116

Immune response, 93, 96-97, 98

Immunization

age considerations, 40-41

DNA, 94, 96

influenza rates, 52

and transmission dynamics, 41

Immunoassay cards, 152-153

Immunologic testing instruments, 151-152

Immunomagnetic separation methods, 151

Immunosuppressive bioweapons agents, 179, 180

India, 32, 48, 55, 103-104, 107, 110, 145-146

Infectious diseases.

See also Emerging diseases;

Mathematical modeling of infectious diseases;

Pathogens;

individual diseases

chains of transmission, 37-38, 41

challenges in fighting, 8-10, 25-26, 267

control and threat reduction, 18-19, 59, 101, 102, 104, 107-108, 109

cross-sectional serological surveys for antibodies, 37-38, 39

data collection, 27

diagnostic innovations, 20-21

incidence calculations, 44

incubation period, 44

leading killers, 55

mortality, 55

pathogenicity, 96

population factors, 1, 32-33

rapid-response capabilities, 1, 21

spread of, 32-34, 37, 144-145

travel factors, 34, 144-145

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

Influenza

A-strain viruses, 8, 51, 56, 123, 124-128

age factors, 48, 124, 128, 129

antigenic relatedness of strains, 50-52, 123, 124, 126, 127, 129

avian viruses, 5, 9, 52, 124, 127, 268

batch science and, 129-130

B-strain viruses, 51

challenges in fighting, 8-9, 10-11, 26, 129

clades, 126

collaborating centers for, 49, 50, 53

database, 51

diagnostic technologies, 21

economic and societal impacts, 8, 48

evolution, 123, 124, 126, 127, 129

genome sequencing, 18-19, 25, 50, 52, 124-128, 268

HA surface protein, 50, 124, 125, 126, 127-128

hemagglutination inhibition (HI) test, 50

“herald” wave, 126

high-throughput automated labs, 9, 10-11, 18-19, 21, 53, 268

Hong Kong H5N1, 8, 51, 56, 125, 127, 129, 268

immunization rates, 52

interpandemic periods, 48, 129

interspecies movement, 52, 125

mortality and morbidity, 8, 47-48, 123-124, 126-127, 129

national centers for, 49, 50, 53

neuraminidase surface protein, 124

neutralization test, 53

pandemics, 8, 47, 48, 123-124, 125-129, 268

patterns of circulation, 49

and pneumonia, 124, 125, 126-127

predicting/averting, 26, 27, 129-130

projections, 8

reservoir (natural), 124-125, 129

special investigations, 52-53

surveillance, 8, 9, 10-11, 18-19, 21, 49, 50, 52-53, 129

swine, 125, 126, 129

threat of pandemics, 128-129

tissue tropism, 127, 128

vaccines, 49, 50-53, 96, 262

virulence, 123, 127, 128-129

in vivo titers, 21

WHO global surveillance system, 8, 10-11, 20, 21, 47, 49, 50-53

Infomatics.

See also Databases

and DNA shuffling, 28

and drug discovery process, 116-117

food safety applications, 12

long-term tasks, 25

overview, 6, 25-26

short-term tasks, 25

tools for high-throughput automated laboratories, 25-26, 28, 229-230

and vaccine development, 98

Information science, biology as, 234-236

Inhibition assays, 50, 153-154

Institute for Genomic Research, 261

Institute of Medicine, Emerging Infections report, 56-57

Integration of technologies

education and training and, 239-240

forms of, 227

genotyping example, 237-239

instruments into laboratory automation systems, 16, 17-18, 22, 23, 69, 77, 243-258

interconnection standards and, 16, 17-18, 69, 77

interdisciplinary perspective, 7, 20, 239-240

into life sciences, 227-236

miniaturization and, 20, 229-230

Intellectual property

AIDS/HIV investigators, 70, 75-77

batch science and, 70, 75-77

commercial/proprietary ownership (closed category), 24, 75-76

consortium ownership, 24-25, 76-77

databases, 24-25

principal investigator ownership, 24, 76

public (open) data, 25, 77

Interconnection standards.

See also Laboratory Equipment Control Interface Specification

Auto3-P Communications with Automated Clinical Laboratory Systems, Instruments, Devices, and Information Systems standard, 249

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

capability dataset approach, 253, 254, 255, 256, 257

Common Command Set, 244-245

control flow interactions, 246, 247-248

databases, 210, 211, 231

descriptive, 243

General Equipment Interface Specification, 245

IEEE 1394 (Firewire) interface, 244

implementation, 249

data and interface modeling languages, 249, 252, 256-257

local/remote control mode, 247

for mass customized testing via Internet, 22, 23, 77

optional interactions, 246

Open Systems Interconnection reference model, 244

overview, 16, 17-18

prescriptive, 243

required interactions, 246

USB, 244

Interdisciplinary perspective

on bioterrorism preparedness and response, 13, 140, 190, 207

on education and training, 239-240

on food safety, 140

HIV/AIDS research, 64

cooperative problem solving, 240

on microtechnologies, 20

on technological development, 7, 20, 227-228, 239-240

Interepidemic periods, 40, 48, 129

Interface Definition Language (IDL), 249, 252, 257

Intermediate-scale research, 2, 61-63

International Union Aqainst Tuberculosis and Lung Disease, 102-104, 107-108

Internet.

See also Batch science

communication rates, 6, 64

information resources, 89;

see also Databases

mass customized testing via, 7, 21-23

non-real-time operations, 65, 66

real-time operations, 65, 66

security, 67, 69

Introns, 263

Investigator-initiated research, 1-2, 24, 61

Iran, 182

Iraq, 182

ISO10313 (STEP), 256-257

Isoniazid, 9, 101-102, 104, 105, 106, 109, 114

Ivanovo Oblast, Russia, 103

Ivory Coast, 103, 104

J

Japan, 55, 56, 59, 89, 145, 178, 181

Japanese encephalitis, 179

Junin virus (Argentinian hemorrhagic fever), 179

K

Keck Graduate Institute of Applied Life Sciences, 239-240

Kenya, 56, 103

Korea, 104, 182

Korean Institute of Tuberculosis, 105-106

L

Lab Automation '99 conference, 17, 250

Laboratories, conventional.

See also High-throughput automated laboratories

overview, 7

public health, 57, 148-149

quality assurance and quality control issues, 102, 105-106

response to bioterrorist attacks, 14-15

safety issues, 105

semiautomated, 7, 18, 64

shortcomings, 7, 18

work force limitations, 11, 14-15, 64

Laboratories-on-a-chip (LOC), 20

Laboratory Response Network for Biological Terrorism, 150

Lassa fever, 179

Latvia, 103, 104

Lawrence Livermore National Laboratory, 90

LECIS (Laboratory Equipment Control Interface Specification)

control paradigm, 17-18, 244, 245-246

function, 69, 244, 258

interaction categories, 246

manufacturer support for, 17

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

origins, 244-245

primary interactions, 246-248

secondary interactions, 248

status and directions, 249

TCP/IP-based reference implementation, 249

Lentiviruses, 98

Leptospirosis, 55

Libya, 182

Lipopolysaccharide biosynthesis, 262

Listeria monocytogenes,

Listeria Rapid Test, 152

Listeriosis, 11, 56

Los Alamos National Laboratory, 51, 196, 249, 258

Los Angeles, 57

Luciferase, 118

Luminex Corporation, 200

Lyapounov functions, 236

M

Machupo virus (Bolivian hemorrhagic fever), 179, 183

Macromolecular structure, 228

Mad Cow disease, 31, 43-45

Malaria, 55, 96, 264

Malaysia, 56, 106

Marburg infection, 179, 183

Mass customized testing, Internet and, 7, 21-23.

See also Batch science

Mathematical modeling

applications, 31-32

cost-benefit constructs, 41-43

for data collection prioritizing, 27

epidemiologic, 26-27

evolution of infectious agents, 34-35, 261

experimental systems in biology, 45, 230-231, 241

first application for infectious diseases, 32

immune response predictions, 98

limits of, 38-41

Mad Cow disease, 43-45

in mass customized testing environments, 22

overview, 26-27

pandemic forecasting, 27, 25-28

phase space organization and mapping, 27

plotting epidemic curves, 35-38

spread of diseases, 32-34

vaccine valuation for childhood diseases, 39-41

Measles, 37-38, 39, 55

Medline, 85-86, 88

Mega-cities, and spread of infectious agents, 32-34

Message-passing communication protocols, 244, 245

Metadata, 251-252, 254-255

Microarrays

antibiotic discovery by gene response profiling, 113-120

analysis of data, 116-117

costs, 155-156, 159

defined, 113, 114

DNA method, 155, 157

experimental design, 115-116

fabrication and hybridization, 114-115

foodborne pathogen detection, 19, 143, 154-156, 159

formats, 114, 155

gene chip method, 155

gene cluster analysis, 117

image processing of scans, 116, 155, 156

laboratory automation, 119-120

limitations in conventional labs, 18

pathogen strain identification, 106

principles, 154-155, 156

printers, 155-156

probes, 155

size of dataset, 116-117

Microbial sequencing, 261-264

Microcapillary structures, 18

Microsphere-based assays, 19, 195, 198-200

Microtechnologies

diagnostic applications, 20-21, 153-154

interdisciplinary nature of, 20

LOC, 20

overview, 18, 20

Microtiter immunoassay-based methods, 20, 143, 151-152

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

Milwaukee, Wisconsin, 146

Molecular biology

mathematical modeling in, 230-231

technological change and, 228-229

Molecular breeding, 28

Molecular evolution in vitro, 233

Molecular fingerprinting of pathogens, 12, 14, 19, 21, 57-58, 106, 159, 196-198

Molecular medicine

grand challenges, 15-16, 25-26, 267

high-throughput automated laboratory applications, 15-16, 267

Monoclonal antibody methods, 228

Morexella catarrhalis,

Mortality and morbidity

Ebola virus infection, 94, 96

foodborne illnesses, 11, 144

HIV/AIDS, 10, 32, 36, 55, 61

infectious diseases, 55

influenza, 8, 47-48, 123-124, 126-127, 129

tuberculosis, 9, 55

Multiplexing of assays, 19, 200

Mycobarteriophage, 106

Mycobacterium tuberculosis, .

See also Tuberculosis

Mycoplasma genitalium,

Mycoplasma pneumoniae,

Mycotoxin detection, 152-153

Myristoylation sites, 98

N

Nanogen, 156

National Center for Biotechnology Information

Cancer Genome Anatomy Project, 90-91

data ownership, 77

GenBank, 86-88

human genome map, 88-89

Medline/PubMed system, 85-86

National centers for influenza surveillance, 49, 50, 53

National Committee for Clinical Laboratory Standards (NCCLS), 249

National Food Safety Initiative, 144, 147, 160

National Human Genome Research Institute, 2

National Institutes of Health, 2, 3, 94, 261, 263, 264

National Library of Medicine, 85

National Institute of Standards and Technology (NIST), 244, 250, 252, 257-258

National Reference Laboratories (NRLs), 102, 105-106

National Research Council, 4

National Science Foundation, 3, 263

Nef gene product, 93, 96

Neutron facilities, 1, 2

Nerve gas, 59

Neuraminidase, 124

New York City

HIV infection, 37

outbreaks of emerging diseases, 56, 146

public health department, 57

tuberculosis, 9, 104

New Zealand, 103

Nicaragua, 55

Nipah virus, 56

Nixon, Richard, 179

Nosocomial infections, 57

North America, influenza pandemic, 124

Nunn, Sam, 204

O

Object Database Management Group, 23

Official Methods of Analysis of AOACInternational,

Oklahoma City bombing, 58, 188

Open reading frames, identification and functional identification 113, 115, 116

Open Systems Interconnection (OSI) reference model, 244

Osama bin Laden, 181

Outbreaks of infectious diseases

emerging diseases, 55-56, 94, 95, 101, 106, 123-124, 125, 146

foodborne, 12-13, 55, 56, 57, 145, 147, 148, 149-150, 151, 153, 154, 158

investigation of, 12-13, 147, 148, 149-150, 151, 153, 154, 158, 196

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

P

Pacific islands, 124

Pandemics.

See also Epidemics

“herald” wave, 126

HIV/AIDS, 8, 10, 36-37, 44, 61

influenza, 8, 47-48, 123-124, 125-129, 268

mathematical modeling of, 27, 25-28

threat of, 128-129

Pathogens.

See also Foodborne pathogens;

Infectious diseases;

Influenza;

specific pathogens

beta-lactamase-producing, 34, 35

bioweapon agents, 59, 178-179, 180, 181, 183, 203-204

databases, 12, 51

evolution, 1, 32-33, 34-35, 42, 45, 51, 123, 124, 125, 126, 127, 129, 261-262, 263

genomic sequencing, 18-19, 25, 50, 52, 124-128, 261-266

molecular fingerprints, 12, 14, 19, 21, 57-58

strain (phenotype) structure considerations, 41-42

Perry, William, 188

Persian Gulf War, 181

Pfizer, 249, 252, 258

Pharmaceutical screening

industry-academic partnerships, 77-78

scientific needs, 15-16

Pharmacogenomics, 238-239, 265-266

Phenotypes

HIV assays, 10, 62, 63, 72

influenza, 49, 50-53

laboratory automation perspective, 15, 23, 27

structure considerations, 41-42

and vaccine development, 49, 50-53

Physics, and microtechnologies, 20, 64

Plague, 8, 35-36, 55, 178, 179, 183

Pneumonia, 48, 55, 57, 124, 125, 126-127

POLARA laboratory automation software, 249

Polio, 5

Polymerase chain reaction (PCR), 106, 114, 158, 229

Population factors, in spread of infectious diseases, 1, 32-33

Primer 3 (software), 114

Principal investigators

data ownership, 24, 76

grants, 1-2, 24, 76

Probe multiplexing, 19

Process control tools (PCTs), 21-22, 66, 67, 69, 70, 74, 77, 230

Protease inhibitors, 61, 72, 80

Protein and Nucleic Acid Core facility, 114

Public health system

diagnostic methods, 196

infrastructure, 57, 59

response to foodborne illnesses, 148-149

PubMed system, 85-86

Pulsed-field gel electrophoresis, 196

PulseNet, 58

Pyrazinamide, 9

Q

Q fever, 178-179, 220-221

Quality assurance and quality control

in bioforensic laboratories, 209

in drug susceptibility testing, 102, 105-106

in food contaminant analysis, 173

R

Radiation Hybrid Database (RHdb), 89

Radiometric BACTEC 460 method, 105, 106

Rajneeshee cult, 181

Rapid, immunoassay-based kits, 152-153

Recombinant DNA technologies and antiviral treatments, 98-99

and bioweapons production, 182, 185

Research Institute of Tuberculosis (Tokyo), 106

Reservoir of infection, 94

Resonant mirror technology, 154

Restriction enzyme technology, 228

Restriction fragment length polymorphism DNA fingerprinting, 106

REVEAL test, 152

Reverse transcriptase inhibitors, 61, 72, 80

Reverse transcription reaction, 115

Rice genome, 263

Ricin, 203-204

RIDASCREEN, 151

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

Rifampin, 9, 101-102, 105, 106, 110, 155

Rift Valley fever, 56

Risk, defined, 27

Risk assessment

analytical technologies and, 172-173

decision making based on, 166, 167, 172

content of, 168-170

defined, 165-166

dose-response evaluation, 169

food safety context, 27-28, 168-173

hazard identification, 168-169

human exposure assessment, 169

methodologies, 165

overview, 27-28

process, 167-169

research and, 166, 167

safety in context of, 166-168

social goal, 166

traditional uses, 27

uncertainties, 165

Risk characterization, 168

Risk management, 166, 167-168

Riverside, California, 146

Rubella, 40-41

Russia, 52, 103, 104, 107

Russian spring-summer encephalitis, 179

S

Safety, defined, 166-168

Saliva-based antibody tests, 41

Salmonella, 5, 11, 56, 144

detection methods, 153, 157, 158

S. enteritidis,

S. typhimurium,

terrorists attacks, 181

Sandia National Laboratory, Intelligent Systems and Robotics Center 245

Saudi Arabia, 56

Schuler, Greg, 89

Screening approaches

foodborne pathogens, 143, 149-150, 158-159

universal platform, 158-159

Security issues

in batch science, 67, 69, 76

biodefense strategies, 187-188, 205

databases, 24

Serratia marcescens,

Shannon information, 236

Shigella dysenteriae,

Shigellosis, 56, 148

Signal averaging, 19

Signal sequences, 98

Signal-to-noise ratios, 19

Singapore, 56

Single-gene mutations, 6

Single nucleotide polymorphisms (SNPs), 6, 15, 18, 199, 265

Smallpox, 5, 32, 147, 178, 179, 261, 263, 264

Somalia, 56

South America, 52

Soviet Union (former)

bioweapons program, 13-14, 178-180, 181-182, 203

tuberculosis, 8, 9

Special investigations

influenza vaccines, 52-53

limiting factors, 52-53

Stalin, Joseph, 189

Standard Laboratory Modules (SLMs), 69, 71, 72, 77, 253

Standardization of assays, 75, 150

Stanford University, 114

Staphylococcus aureus,

Streptomycin, 102

Sub-Saharan Africa, 32, 110

Subnanomolar-scale reactions, 20

Supranational Reference Laboratories (SRLs), 102, 105-106, 107

Surface plasmon resonance, 153

Surveillance

antimicrobial drug resistance, 21, 102, 105-107, 101-110

bioterrorism, 189, 190

emerging diseases, 10-11, 56, 57-58

foodborne illnesses, 12, 58, 146, 147, 148-150, 154, 159, 160

funding for, 147

importance of, 56

HIV, 94

influenza, 8, 9, 10-11, 18-19, 21, 49, 50, 52-53, 129

saliva-based antibody tests, 41

Swine flu, 125, 126, 129

Synchrotron facilities, 1, 2

Syria, 182

System Capability Dataset (SCD)

components, 254-255

configuration and status component, 254

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

creation timeline, 255-256

dependencies component, 255

events component, 255

function, 244, 250, 253, 258

functionality component, 254

geometry and location component, 254

identification and description component, 254

implementation, 257

maintenance and calibration component, 254

metadata component, 254-255

representation, 256-257

static and dynamic contents, 255

status and directions, 257-258

Symbolic Query Language, 23-24

System Support Modules (SSMs), 253

T

Task Sequence Controllers (TSCs), 69, 71, 77

T-cell immunity, 96

Technological change.

See also Integration of technologies

data acquisition and, 229-230

discovery, and

genotyping example, 237-239

and grand challenges, 6

interdisciplinary nature of, 227

TECRA MINILYSER processor, 151

TECRA SET ID VIA kit, 151

Thailand, 106

Thermodynamic analysis of biomolecular interactions, 154

Tissue databases, 90

Tissue tropism, 127, 128

Tokyo subway system attack, 59

Toxins, 147, 148, 151, 152-153, 154, 195, 199-200

Toxoplasma, 11

Transia Card, 152

Transia Elisamatic II, 151

Transposon maps, 263

Travel, and spread of infectious diseases, 34, 144-145

Tuberculosis

challenges in fighting, 9, 107-108

drug susceptibility testing, 105-107, 109-110

economic costs of, 9, 110

genome sequencing, 114, 264

global incidence, 110

high-throughput automated laboratory applications, 9, 18

HIV co-infection, 9, 101, 107

latent infections, 9

management strategies, 9, 102, 107-108, 109-110

mortality and morbidity, 9, 55

multidrug resistance, 5, 8, 9, 18, 101-110, 114, 155

Oshkosh strain, 264

outbreaks, 101, 106

recent transmission vs. reactivation, 106-107

research needs, 108

sequencing, 264

surveillance, 18, 102, 107, 109-110

transmissibility and virulence, 108

vaccine development, 96

virulence and infectivity, 264

Tularemia, 178-179, 181, 221

Typhoid fever, 145-146, 178-179

U

UniGene, 90

United Kingdom.

See Great Britain

United States

biodefense strategy, 187-188

bioweapons program, 14, 178, 179, 222

deaths from infectious diseases, 55

ebola outbreak, 94, 95

food supply trends, 133, 134-136

foodborne illnesses, 144, 145

genome mapping centers, 89

influenza surveillance network, 10, 49

influenza projections, 8

outbreaks of emerging diseases, 55, 56, 101, 124

population age distribution, 48

vulnerability to bioterrorist attacks, 58, 180-181, 188-189, 203, 218-220

Universal microtiter plate handling device, 249

Universal Serial Bus (USB), 244

Urethritis, 262-263

U.S. Army Medical Institute of Infectious Disease, 208

Suggested Citation: "Index." Scott P. Layne, et al. 2001. Firepower in the Lab: Automation in the Fight Against Infectious Diseases and Bioterrorism. Washington, DC: Joseph Henry Press. doi: 10.17226/9749.

U.S. Department of Agriculture, 58, 138, 208

U.S. Deparment of Defense (DOD), 2, 4, 150, 187, 190, 264

U.S. Department of Energy (DOE), 2, 208

U.S. Environmental Protection Agency, 140, 144, 173

V

Vaccinia, 263

Vaccines

biodefense role, 184

cost effectiveness, 41

critical coverage, 37

development, 98, 181

ebola virus infection, 94, 96

herpesvirus, 96

HIV, 10, 61, 62, 65-66, 96

influenza, 49, 50-53, 96, 262

information technologies and, 98

malaria, 96

modeling potential value of, 39-40

strain selection, 50-53

Vancomycin, 56, 57

Venezuelan equine encephalomyelitis, 179

Veratox and Veratox HS, 152

Vietnam, 52, 106

Viral encephalitis, 181

Virulence of pathogens

bioweapons alterations, 182

influenza, 123, 127, 128-129

Vitek Immuno Diagnostic Assay System (VIDAS), 152

W

Washington University, 90-91

Water supply, 135

Waterborne diseases, 57, 145-146, 147-148, 160, 177

Weapons of mass destruction, 13, 177.

See also Bioweapons;

Catastrophic terrorism

West Nile encephalitis, 56

Whitehead Institute, 114

World Health Organization, 82

anti-tuberculosis drug resistance surveillance, 102-104

Global Tuberculosis Program, 102

influenza surveillance network, 8, 10-11, 20, 21, 47, 49, 50-53

tuberculosis treatment recommendations, 107-108

Western Pacific Regional Office, 105-106

World Trade Center bombing, 58, 188

World War I, 124

World War II, 178

Wulf, William A., 61

Y

Yellow fever, 179

Yeltsin, Boris, 180

Z

Zaire, 55

Zoster, 39-40

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