Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:2.7.7.48 (transcriptase)
9,479 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Operator-induced biological contamination in cell cultures is a multifaceted problem involving the unexpected introduction of other animal cells, microbial and viral contaminants. Detailed studies on animal cell cross contaminations have been performed and published. The frequency of detection of problem cultures has been as high as 36% for one service performed in the USA, with interspecific cross contamination accounting for 25% and human intraspecific contamination representing 11%. Awareness of the potential of this problem plus the application of several characterizations are key factors for its control. For example, fluorescent antibody staining, isoenzyme analyses, cytogenetic evaluations and DNA fingerprinting using molecular probes are needed for quality assurance on master seed stocks. Detection of microbial contamination is relatively straightforward, but the prevalence of mycoplasmal infections in cell cultures used in general research is still a significant problem. Detection services report frequencies of infection varying from 10% upwards, depending upon the country and laboratory of origin. The utilization of prescreened reagents and antibiotic-free cultivation, plus the application of improved procedures, such as fluorescent dyes and molecular probes for detection, provide effective means of avoiding mycoplasma infection and facilitating control. For many viruses, the presence of mycoplasma reduces immunoreactivity, suppresses transcriptase and other enzyme activities, reverses viral neutralization etc. The introduction of viral contaminants into cell cultures is perhaps the most problematic, especially where no cytopathic effect is produced. Few cases are documented where technicians infected with specific viruses have introduced these unwittingly into cultures in their care. The potential exists, however, as reports have appeared documenting the considerable stability of rhinoviruses, respiratory syncytial virus, rotaviruses and others, in aerosols on workers' hands and safety hood surfaces. The infection of cell cultures via other contaminated cells or reagents such as sera is a related problem. In this regard, the infection of transplantable tumor cell lines with lymphocytic choriomeningitis virus from host animals led to an outbreak of the disease in medical center personnel. Similar infection of rat cell lines exposed to animals harboring hantaviruses has been reported. Technical staff in US government laboratories have been infected with human immunodeficiency virus produced in cultured cells. Such serious public health hazards warrant repeated emphasis. The use of multiple cell lines in a given laboratory, including cultures known to be virally infected, compounds the problems and necessitates application of preventive methods both to avoid cross-infections and to document freedom from contamination.(ABSTRACT TRUNCATED AT 250 WORDS)
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PMID:Operator-induced contamination in cell culture systems. 179 20

Gene P1 of Mycoplasma pneumoniae, which codes for a major adhesin, is flanked by two sequences with open reading frames designated ORF4 and ORF6 (Inamine et al., 1988b). In order to identify proteins translated from those ORFs, gene fusions between the N-terminus of the RNA replicase of the Escherichia coli bacteriophage MS2 and selected regions of ORF4 and ORF6 were constructed. The corresponding fusion proteins synthesized in Escherichia coli were used to immunize mice. Antisera directed against ORF4-related sequences did not recognize M. pneumoniae antigens in Western blot analysis, but antisera directed against ORF-6-derived fusion proteins reacted with two M. pneumoniae proteins of 40 kDa and 90 kDa. In addition, some of the antisera also recognized proteins that formed in a sodium dodecyl sulphate/polyacrylamide gel a protein ladder between 115 and 145 kDa.
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PMID:Identification of gene products of the P1 operon of Mycoplasma pneumoniae. 190 24

Mycoplasma hominis, an opportunistic pathogenic bacterium of humans, has a small genome of 700 kb. Despite this, multiple copies of gene sequences with similarities to the structural gene (lmp1) of a 135-kDa surface-located membrane protein (Lmp1) have been identified on the genome of M. hominis PG21 (lmp2, lmp3, and lmp4). The distance between the lmp1-lmp2 region and the lmp3-lmp4 region was more than 110 kb. lmp3-lmp4 of M. hominis PG21 was sequenced and found to contain two putative genes. The gene region of 6.5 kb contained a 5' unique region and a 3' unique region separated by 9 0.5-kb repeats with 51 to 90% similarity to 10 similar repeats found in the lmp1-lmp2 region. The 0.5-kb DNA repeats thus comprised about 1% of the entire genome. In both regions, a base change in one of the repeats gave rise to a stop codon, and thereby lmp2 and lmp4 occurred. By PCR amplification of reverse-transcriptase-generated cDNA it was shown that all four genes were transcribed. By use of Lmp-specific antibodies we showed that both lmp1 and lmp3 were translated into proteins (Lmp1 and Lmp3). Each of the four lmp genes represented by their unique cloned segments was used as a probe to analyze the presence, distribution, and organization of the genes within the genome in 13 M. hominis isolates. The repetitive element was detected at one or two locations on the chromosome for all isolates. The lmp3-specific element was present in all isolates, and lmp1- and lmp2-specific elements were present in all but one isolate. The lmp4-specific element was present in about half the isolates tested. For five M. hominis isolates the chromosomal location of the lmp genes was mapped.
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PMID:Analysis of 0.5-kilobase-pair repeats in the Mycoplasma hominis lmp gene system and identification of gene products. 863 64

The aim of this study was to generate urgently needed data on respiratory pathogens in German children using an economical and efficient tool. Nasopharyngeal aspirates of hospitalized children 0-16 years of age with an acute respiratory tract infection were tested by a nine-valent multiplex reverse-transcriptase polymerase chain reaction. Of 1281 children, 449 (35%) had an acute respiratory tract infection caused by at least one of the organisms studied; there were 29 cases of dual infection. At least 34-42% of severe acute respiratory tract infections in children under 5 years of age were caused by viruses. In children over 5 years of age, this proportion was 23% (P<0.001). Infection during the first 2 years of life was most frequently due to respiratory syncytial virus (n = 162 cases). Parainfluenza virus type 3 (n = 22) and type 1 (n = 14) were detected almost exclusively in children under 5 years of age. Influenza A (n = 90) and adenoviruses (n = 98) were prevalent in all age groups. The frequency of influenza B virus isolation (n = 17) rose significantly after the age of 5 years. Mycoplasma pneumoniae infection (n = 24 cases, 5.2%) was most frequent in 5- to 16-year-old patients. Only one case of Chlamydia pneumoniae infection was found. Since the distribution of pathogens within the different types of lower respiratory tract infections is very similar, it seems that host factors determine which form of lower respiratory tract infection develops in an individual patient. The multiplex reverse-transcriptase polymerase chain reaction may, in the future, become an important tool for epidemiological studies as well as for individual diagnosis.
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PMID:Epidemiological investigation of nine respiratory pathogens in hospitalized children in Germany using multiplex reverse-transcriptase polymerase chain reaction. 1089 33

Two conservative gene clusters, the S10 ribosomal protein region and one (of the two) set of rRNA genes, were split in a genome crossover rearrangement event in Mycoplasma gallisepticum. As a result of the rearrangement the major part of the S10 ribosomal protein cluster is located upstream of genes for 23S-5S rRNA (rrn23-5), but the genes infA-rpl36-rps13-rpoA-rpl17 are located immediately downstream of the isolated gene for 16S rRNA (rrn16). A new ribosomal protein cluster infA-rpl36-rps13-rpoA-rpl17-rps16-trmD-rpl19 was formed. Reverse transcriptase-polymerase chain reaction (RT-PCR) analysis revealed that this ribosomal protein cluster is an operon.
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PMID:Mycoplasma gallisepticum rpoA gene cluster. 1195 50

In a case-control study of the infectious agents associated with natural outbreaks of respiratory disease in pheasants, 28 batches of birds from sites affected by disease and eight batches of birds from unaffected sites were examined by six veterinary laboratories in England, Wales and Scotland, and tested for mycoplasmas, other bacteria and viruses. Sinusitis was the commonest sign of disease and was associated with Mycoplasma gallisepticum as detected by PCR in the trachea (P < 0.05) and conjunctiva (P < 0.01). Sinusitis was also associated with pasteurella cultured from the sinus (P < 0.05), antibody to avian pneumovirus (APV) (P < 0.01) and avian coronaviruses as detected by reverse-transcriptase PCR (P < 0.05); there was no association between disease and APV as detected by PCR. Avian coronaviruses were the most common infectious agents detected. They were genetically close to infectious bronchitis virus (IBV) but differed in their gene sequence from all the serotypes of IBV previously identified in domestic fowl, and serological tests with six known IBV types showed little cross reactivity. Mycoplasma species other than M gallisepticum were cultured in 18 batches of pheasants but, with the exception of Mycoplasma gallinaceum, were not associated with disease.
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PMID:Infectious agents associated with respiratory disease in pheasants. 1205 35

De novo assembly of metagenomic sequencing reads from feces from a clinically normal pig identified two approximately 9 kb contigs which each consisted of a single large open reading frame. While one contig encoded a predicted 2990 amino acid protein with 83 % identity to the recently described posavirus 1, the other contig encoded a predicted 2942 amino acid protein with only 25 % identity limited to the genomic region encoding the RNA-dependent RNA polymerase (RdRp) of posavirus 2. Besides RdRp, search of the conserved domain database identified domains associated with picornavirus capsid proteins but failed to identify picornaviral helicase and proteinase domains. In addition, a domain representing a family of Mycoplasma and Ureaplasma immunoglobulin-blocking virulence proteins was identified near the 5'-terminus. Phylogenetic analysis found a distant relationship between this novel virus, provisionally named posavirus 3, to the unclassified posaviruses and fisavirus which are proposed to represent different genera in a novel family of the Picornavirales.
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PMID:Identification of a novel Picornavirales virus distantly related to posavirus in swine feces. 2603 64

Oral fluid analysis for herd monitoring is of interest to the commercial pig production in Korea. The aim of this study was to investigate pathogen-positive rates and correlations among eight pathogens associated with porcine respiratory disease complex by analyzing oral fluid samples from 214 pig groups from 56 commercial farms. Samples collected by a rope-chewing method underwent reverse-transcriptase polymerase chain reaction (RT-PCR) or standard polymerase chain reaction (PCR) analysis, depending on the microorganism. Pathogens were divided into virus and bacteria groups. The former consisted of porcine reproductive and respiratory syndrome virus and porcine circovirus type 2 (PCV2), and the latter Pasteurella multocida, Haemophilus parasuis, Actinobacillus pleuropneumoniae, Mycoplasma hyopneumoniae (MHP), Mycoplasma hyorhinis, and Streptococcus suis (SS). All pathogens were detected more than once by PCR. Age-based analysis showed the PCR-positive rate increased with increasing age for PCV2 and MHP, whereas SS showed the opposite. Correlations between pathogens were assessed among 36 different pair combinations; only seven pairs showed statistically significant correlations. In conclusion, the oral fluid method could be a feasible way to detect various swine respiratory disease pathogens and, therefore, could complement current monitoring systems for respiratory diseases in the swine industry.
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PMID:Survey of porcine respiratory disease complex-associated pathogens among commercial pig farms in Korea via oral fluid method. 2758 68

Co-infection has been reported in patients with severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome, but there is limited knowledge on co-infection among patients with coronavirus disease 2019 (COVID-19). The prevalence of co-infection was variable among COVID-19 patients in different studies, however, it could be up to 50% among non-survivors. Co-pathogens included bacteria, such as Streptococcus pneumoniae, Staphylococcus aureus, Klebsiella pneumoniae, Mycoplasma pneumoniae, Chlamydia pneumonia, Legionella pneumophila and Acinetobacter baumannii; Candida species and Aspergillus flavus; and viruses such as influenza, coronavirus, rhinovirus/enterovirus, parainfluenza, metapneumovirus, influenza B virus, and human immunodeficiency virus. Influenza A was one of the most common co-infective viruses, which may have caused initial false-negative results of real-time reverse-transcriptase polymerase chain reaction for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Laboratory and imaging findings alone cannot help distinguish co-infection from SARS-CoV-2 infection. Newly developed syndromic multiplex panels that incorporate SARS-CoV-2 may facilitate the early detection of co-infection among COVID-19 patients. By contrast, clinicians cannot rule out SARS-CoV-2 infection by ruling in other respiratory pathogens through old syndromic multiplex panels at this stage of the COVID-19 pandemic. Therefore, clinicians must have a high index of suspicion for coinfection among COVID-19 patients. Clinicians can neither rule out other co-infections caused by respiratory pathogens by diagnosing SARS-CoV-2 infection nor rule out COVID-19 by detection of non-SARS-CoV-2 respiratory pathogens. After recognizing the possible pathogens causing co-infection among COVID-19 patients, appropriate antimicrobial agents can be recommended.
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PMID:Co-infections among patients with COVID-19: The need for combination therapy with non-anti-SARS-CoV-2 agents? 3248 66