1) Microbial identification determines the broad or narrow group to which a microorganism belongs. It is important for characterizing microorganisms detected in pharmaceutical products and facilities.
2) The U.S. Pharmacopeia outlines requirements for microbial identification in various chapters related to nonsterile products, sterility testing, and environmental monitoring. Identification to the species or strain level can provide insights for assessing and mitigating risks.
3) Identification methods include phenotypic methods based on biochemical reactions and genotypic methods based on nucleic acid sequences. Phenotypic methods are commonly used while genotypic methods are more reliable but require more specialized equipment and are typically used for critical investigations. The "polyphasic taxonomy" approach uses multiple
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24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
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24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
US Perspective on use of bioinformatics in microbial pesticide regulation - O...OECD Environment
24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
High-throughput sequencing data of microorganisms opens new perspectives for ...OECD Environment
24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
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24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
ACRI is a leading clinical research training institute in Bangalore.
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MuScan for instant single cell detection and the colony tracker for ultra fast antibiotic suseptibility testing.
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24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
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24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
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24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
ACRI is a leading clinical research training institute in Bangalore.
ACRI creates a value add for every degree. Our PGDCRCDM course is approved by the Mysore University. Graduates and Post Graduates and even PhDs have trained with us and got enviable positions in the Clinical Research Industry. ACRI supplements University training with Industry based training, coupled with hands-on internships and projects based on real case studies. The ACRI brand gives the individual the confidence and expertise to join the ever-growing workforce both in the country and abroad.
Potential value of bioinformatic analysis in regulatory process - OECD Bioinf...OECD Environment
24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
A presentation about the recent developments in Rapid microbiological detection methods from LumiByte.
MuScan for instant single cell detection and the colony tracker for ultra fast antibiotic suseptibility testing.
Presented at the Health and Technology event in Papendal the netherlands september 2013
How can Whole Genome Sequencing information be used to address data requireme...OECD Environment
24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
Bioinformatics: Building the cornerstones of Sequence Homology and its use fo...OECD Environment
24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
Overview of the commonly used sequencing platforms, bioinformatic search tool...OECD Environment
24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
Introduction - OECD Seminar on Bioinformatics and Regulation of Microbial Pes...OECD Environment
24 June 2019: This OECD seminar presented and discussed the potential use of genome sequence, bioinformatic tools and databases in a regulatory decision process for microbial pesticides.
Les 15 ans de l'encyclopédie Wikipedia coïncident avec les 11 ans de Wikimedia en Côte d'Ivoire. C'est en mai 2005 que le projet Côte d'Ivoire était lancé sur l'encyclopédie. Retour sur une histoire en constante évolution.
Merupakan penggalan USP 36 chapter 1116 mengenai Microbiological Control And Monitoring Of Aseptic Processing Environments
Untuk mendapat softcopy atau informasi lebih lanjut silahkan hubungi delli.intralab@gmail.com
Biological contamination is the dread of every person working with cell culture. When cultures become infected with microorganisms, or cross-contaminated by foreign cells, these cultures usually must be destroyed. Since the sources of culture contamination are ubiquitous as well as difficult to identify and eliminate, no cell culture laboratory remains unaffected by this concern. With the continuing increase in the use of cell culture for biological research, vaccine production, and production of therapeutic proteins for personalized medicine and emerging regenerative medicine applications, culture contamination remains a highly important issue. Cell line cross-contamination can be a problem for scientists working with cultured cells. Studies suggest anywhere from 15–20% of the time, cells used in experiments have been misidentified or contaminated with another cell line. Problems with cell line cross-contamination have even been detected in lines from the NCI-60 panel, which are used routinely for drug-screening studies. Major cell line repositories, including the American Type Culture Collection (ATCC), the European Collection of Cell Cultures (ECACC) and the German Collection of Microorganisms and Cell Cultures (DSMZ), have received cell line submissions from researchers that were misidentified by them. Such contamination poses a problem for the quality of research produced using cell culture lines, and the major repositories are now authenticating all cell line submissions. ATCC uses short tandem repeat (STR) DNA fingerprinting to authenticate its cell lines.
Identification and Detection of Microorganism esraa alaa
Molecular detection of pathogens (molecular microbiology)
is a new, dynamic and progressive spinoff of classic microbiology. It plays an important role in those clinical situations when standard microbiology (relying on the successful cultivation of potential pathogens) produces suboptimal results or completely fails.
OR
Modern approach for identification and quantification of microorganisms (pathogens) in the diagnostics of infections or foodborne illness using molecular microbiology. Broadest range of available tests and tailor-made packages.
Genomics is the study of an organism's entire genome, which is the complete set of genetic material present in its DNA. This includes all the genes, non-coding regions, and regulatory sequences. Genomics involves sequencing and analyzing the DNA to identify genes, variations (such as single nucleotide polymorphisms or SNPs), and other structural features of the genome.
1. Janvier 2016 I La Vague N° 48 I 47
4
Maîtrise de la contamination
Current U.S.P. Perspectives
on
Microbial Identification
Par Radhakrishna S. Tirumalai, Ph.D. - United States Pharmacopeial Convention
RST@usp.org
M
icrobial Identifica-
tion is the determi-
nation of the broad
group (e.g., bacteria, yeast,
or mold) or narrow group
(e.g., genus and/or species)
to which a microorganism
belongs to.
Microbial characterization
is the use of colony growth,
cellular morphology, diffe-
rential staining, and key dia-
gnostic features to charac-
terize a laboratory isolate for
trending and investigative
purposes without identifica-
tion, example, nonpathoge-
nic Staphylococci.
Microorganisms, if detected
in drug substances, exci-
pients, water for pharma-
ceutical use, the manufacturing environment, intermediates, and finished drug products, typically undergo cha-
racterization. This may include identification and strain typing, as appropriate.
TheneedformicrobialidentificationisspecificallycitedinseveralU.S.P.generaltestchapterssuchasMicrobiological
Examination of Nonsterile Products: Tests for Specified Microorganisms (62). This chapter indicates a requirement
for confirmatory identification tests for organisms that grow on selective or diagnostic media and demonstrate
defined morphological characteristics.
U.S.P. general test chapter Sterility Tests (71) allows for invalidation of the test, if after
identification of the microorganisms isolated from the test, the growth of this (or these) species
may be unequivocally ascribed to faults with respect to the material and/or the technique used
in conducting the sterility test procedure. U.S.P. general information chapter.
The manufacturing area is also a concern for microbial identification. Environmental monitoring
of cleanrooms provides an indication of the state of control of a facility. Control is assessed in
terms of trends analysis.There are two important types of trend analysis: microbial count and the
types of microorganisms isolated. Microbiological Control and Monitoring of Aseptic Processing
Environments (1116) recommends that microbial isolates be identified at a rate sufficient to
support the environmental monitoring program.
Furthermore, there is also considerable cGMP emphasis upon screening for objectionable
microorganisms. The impact of microorganisms upon product quality attributes will depend on
the product, its intended or potential application, the method of manufacture, and subsequent
treatment.
2. 48 I La Vague N° 48 I Janvier 2016
Identification Methods
Microorganisms are present in a variety of milieu in the pharmaceutical
manufacturing environment. The first step in identification is to isolate
a pure colony for analysis.This purification is normally accomplished by
subculturing one or more times on solid media to ensure purity, each
time streaking for single colonies. For many types of investigations
and routine surveying of manufacturing environmental bioburden,
few tests such as Gram-staining, Spore staining and biochemical
screening tests such as oxidase, coagulase and catalase tests, can
provide sufficient information for ongoing evaluation. However, when
circumstances dictate greater in-depth assessment, identification to
the genus, species, or strain level can yield valuable insights about
the nature and source of the bioburden. Also, microbial identification
to the species and even strain level can be critical in assessing and
mitigating risk from microbial contamination.
Identification methods can be divided into two groups: phenotypic
and genotypic. Phenotypic methods use expressed gene
products to distinguish among different microorganisms. Examples
includemethodsbasedoncarbonutilizationandbiochemicalreaction,
as well as fatty acid profiles by gas–liquid chromatography and whole-
cell composition by MALDI–TOF mass spectrometry. Generally, these
methods require a relatively large number of cells in pure, monoclonal
culture. Recovery and growth methods for microbial enumeration
and identification are limited by the length of incubation and the fact
that many organisms present in the environment are not recovered
by general microbiological growth media. Phenotypic microbial
identification methods are successfully used in food, water, clinical,
and pharmaceutical microbiological testing laboratories. Phenotypic
microbial identification methods provide information that enables
microbiologists to make informed decisions regarding product risk
and to recognize changes in environmental microflora. In many quality
control investigations, phenotypic identification alone is sufficient
and will enable scientists to conduct a thorough investigation and to
recommend appropriate corrective actions as needed.
Genotypic microbial identification methods are theoretically more
reliable because nucleic acid sequences are highly conserved in most
microbial species. Applicable genotypic methods include DNA–DNA
hybridization, PCR, 16S and 23S rRNA sequencing, multilocus sequence
typing(MLST),pyrosequencing,DNAprobes,andanalyticalribotyping.
They generally require more expensive analytical equipment and
supplies. Often these analyses are conducted by contract laboratories,
governmentlaboratories,universities,researchinstitutes,orspecialized
laboratories within industrial firms. Therefore, the use of genotypic
identification methods is typically limited to critical microbiological
investigations such as product failure investigations.
Genotypic or Nucleic acid-based methods can also be used to screen
for specific microorganisms. The steps associated with this activity
are sample collection, nucleic acid extraction, target amplification,
hybridization, and detection. The problem of amplifying DNA
from nonviable bacterial cells can be overcome by using reverse
transcription to convert rRNA that is transitional, hence related to
viability, to DNA for PCR amplification. Issues include the detection of
microbial variants, limits of detection, matrix effects, positive cutoff
verification, instrument and system carry-over, diagnostic accuracy,
and reproducibility.
StrainTypingis an integral part of epidemiological investigations
in clinical and public health microbiology. Methods including pulsed-
field gel electrophoresis, riboprinting, arbitrarily primed polymerized
chain reaction, and whole genome ordered restriction or optical
mapping can be used to demonstrate that microbial species are the
same strain and most likely are from a common source.
With identification systems, verification of the identity of the species
should be evaluated and the level of agreement should be considered.
Typically greater than 90% agreement can be achieved with samples
of microorganisms that are appropriate for the identification system.
The hierarchy of microbial identification errors in descending order of
impact is (1)
misidentification to genera,(2)
misidentification to species,
and (3)
no identification. Misidentification could lead to inappropriate
corrective and preventive actions and product disposition.
A microbial identification system may not be able to identify an
isolate because the organism is not included in the database, the
system parameters are not sufficiently comprehensive to identify the
organism, the isolate may be nonreactive in the system, or the species
may not have been taxonomically described. Such isolates can be sent
to the supplier of the microbial identification system for additional
study and, if appropriate, added to the database. Alternatively,
genotypic identification tests can be conducted, and the species can
be added to an in-house database. Misidentification is more difficult
to determine, but any microbial identification should be reviewed
for reasonableness in terms of the microorganism’s morphology,
physiological requirements, and source of isolation. The most
important verification tests are accuracy and reproducibility. Other
measurements are sensitivity, specificity, and positive and negative
predictive value.
The concept of Polyphasic Taxonomy that refers to assembly
and use of many levels of information, e.g., microbial characterization,
phenotypic and genotypic data, and origin of the microorganisms,
can be successfully applied to microbial identification. This avoids
decisions made solely using genotypic data that make no sense when
the microbial characteristics, testing history, and source of isolation are
considered.
Maîtrise de la contamination
Bibliographie:
1) U.S.P. <1113> Microbial Characterization, Identification and
StrainTyping.U.S.P.38-NF33(2015),page1180
2) Bergey’s Manual of Systematic Bacteriology, 2nd
Edition,2003.
3) O’Hara, C.M., M.P. Weinstein, and J.M. Miller. Manual
and automated systems for detection and identification of
microorganisms. ASM Manual of Clinical Microbiology, 8th Edition,
2003.
4) Cumitech 31. Verification and Validation of Procedures in the
Clinical Microbiology Laboratory. Elder, B.L., S.A. Hansen, J.A.
Kellogg,F.J.Marsik,andR.J.Zabransky,ASM,February1997.
5)J.E.ClarridgeIII.TheImpactof16SrRNAGeneSequencingAnalysis
for Identification of Bacteria on Clinical Microbiology and Infectious
Diseases,Clin.Microbiol.Rev.17(2)840–862,2004.
6) Gillis, M., P. Vandamme, P. De Vos, J. Swings and K. Kersters.
Polyphasic Taxonomy. Bergey’s Manual of Systematic Bacteriology,
2ndEdition,2003.