TEP1 Antibodies

Telomerase protein component 1 (TEP1)

Component of the telomerase ribonucleoprotein complex that is essential for the replication of chromosome termini (PubMed:19179534). Additionally component of the ribonucleoprotein vaults particle, a multi-subunit structure involved in nucleo-cytoplasmic transport (By similarity).

Responsible for the localizing and stabilizing vault RNA (vRNA) association in the vault ribonucleoprotein particle. Binds to TERC (By similarity).

Gene Information

Human
Gene Name:	TEP1
Uniprot:	Q99973
Entrez:	7011

Family

Belongs to:
No superfamily

Alternative Names

p240telomerase protein component 1; telomerase-associated protein 1VAULT2; TLP1p80 telomerase homolog; TP1Telomerase protein 1; TROVE domain family, member 1; TROVE1

Molecular Weight

Mass (kDA):
290.49 kDA

Genomic Context

Human
Location:	14q11.2
Sequence:	14; NC_000014.9 (20365667..20413540, complement)

Subcellular Localizations

Nucleus. Chromosome, telomere.

Diseases

• Malignant Neoplasms
• Neoplasms
• Carcinoma
• Malignant Paraganglionic Neoplasm
• Cell Transformation, Neoplastic
• Malaria
• Carcinogenesis
• Hamartoma Syndrome, Multiple
• Malignant Neoplasm Of Breast
• Neoplasm Metastasis
• Glioblastoma
• Hamartoma
• Glioma

• Thyroid Neoplasm
• Mammary Neoplasms
• Growth Retardation
• Adenocarcinoma
• Cell Invasion
• Malignant Neoplasm Of Prostate
• Malignant Squamous Cell Neoplasm

Pathways

• Cell Growth
• Cell Cycle
• Cell Proliferation
• Pathogenesis
• Transport
• Localization
• Cell Cycle Arrest
• Senescence
• Cell Death
• Immune Response
• Oncogenesis
• Reverse Transcription
• Telomere Maintenance

• Regulation Of Telomerase Activity
• Drug Resistance
• Aging
• Innate Immune Response
• G1 Phase
• Rna Interference
• Secretion

PTMs

• Phosphorylation
• Dephosphorylation
• Cleavage

• Methylation
• Nitration
• Glycosylation

For details, visit:
bosterbio.com/bosterbio-gene-info-cards/TEP1

Best Uses of the TEP1 Marker

TEP1, a newly discovered gene, has been associated both with vector transmission and drug-resistance. It is extremely useful in deciphering interactions between vectors and parasites. Boster Bio: Best Uses Of The TEP1Marker

Generic loci associated with drug resistance

Many resistance genes are flanked with repetitive mobile elements, making it difficult to determine their location. Current plasmid typing schemes may not be complete. The difficulty of locating resistance genes to specific DNA plasmids is a constant problem. Fortunately, there are many in-silico tools to resolve loci. These tools include Bandage, which visualizes the assembly graph and uses BLAST searches to assign ambiguous regions to contigs. In the case of the mcr-1 colistin resistance gene, Bandage revealed that the drug resistance gene was distributed across numerous plasmid contexts. These approaches are not practical for large datasets.

Genetic analysis of non-redundant K. pneumoides genomes has shown that the number of rmpADC genes has increased with age and is associated to an increasing virulence score. These scores are related to the presence of individual components as well as the host's overall pharmacogenomics. A correlation has also been observed between the number AMR genes in the host and the associated drug class.

Vector transmission is linked to genetic loci

The Boster biovar discovered genetic loci that could be associated with vector transmission. This was a breakthrough in the field of vector biology. This study identified markers on Chromosome 12, referred to as Q12, that accounted approximately 19% of the phenotypic variation. The markers, which had an LOD score of 4.74 were analyzed separately using different scoring dates. The results provide important insight into the mechanisms that underlie vector transmission and the evolution of resistance.

The study found that 33% were affected by sepsis susceptibility via the genes and pathways within the loci. While the majority of genes were found to be differentially expressed between patients with severe sepsis and milder cases, further functional studies will be required to determine their role. These genes and pathways can be used to better understand the molecular mechanisms that underlie sepsis heterogeneity.

Fine-mapping, also known as gene association analysis, is a method that helps prioritize causal variants derived from GWAS loci. This involves in silico methods that prioritize variants with strong associations across multiple regions. Fine-mapping is further enhanced by including expression quantitative trait loci and integrating these into Bayesian model fine-mapping. Trans-ethnic GWAS can be used to narrow the geographic windows that are associated for disease in order to improve the accuracy and precision of genetic association mapping.

Boster biovar research has shown that a large, genome-wide SNP at the FER gene alters transcription factor binding in human monocytes. These studies have limited results due to the high level of heterogeneity and large numbers of participants. Future studies will generate large data sets from endothelial cells in order to establish the connection between SNPs, cis-genes.

Fine-mapping involves the identification of correlated genetic variants which contribute to the target phenotype. Large reference panels make fine-mapping more effective. In silico analysis, however, a large number of samples is required to confirm a genetic variant's association with the target phenotype. To determine the role of each gene within vector transmission, further analyses will be required.

Researchers will be better able to develop effective insecticides and other vector control methods if they can understand the distribution of new genetic constructs. The project will provide baseline data on genetic diversity and help to inform the design of experiments at INFRAVEC. High-throughput next-generation sequencing has allowed researchers to analyze the structure of mosquito populations. Multiple samples can be used on one Illumina Lane, which allows for high coverage of each sequencing. Multiplexed specimens allow for genotyping or SNP discovery in one experiment.

It will be possible to decipher vector transmission using vector-parasite interactions

Basic research on the host-pathogen tick system is necessary to decipher vector-parasite interactions. We must understand how pathogens reach hosts and how they spread to better understand the vector parasite system. B. burgdorferi is transmitted through TBEV via a tick species called Ixodes tick. This tick acts as a nexus. Ticks are important hosts for the pathogen's sequential life cycle, making them an important target for control and risk spillover to humans.

We will be able to better understand the interactions between pathogens and hosts with new experimental tools. The Department of Immunology is part of this new research. Scientists will use its high-throughput sequencer facilities to study vector/parasite interactions. The Center for Innovation and Technological Research is home to data-intensive experiments and can analyze large amounts of data. The goal of the research is to help us understand the mechanisms behind these systems and which organisms have the best transmission rates.

We are now able to better understand vector-parasite interactions thanks to advances in biology and epidemiology. This quick review will include recent discoveries in parasite/vector interactions. It will also give information that can be used for sustainable disease management. The review will help to understand the evolutionary strategies and evolution of different pathogens. This Special Issue will prove to be an invaluable resource.

Research on the life cycle of parasites, and their vectors, will be extremely helpful in understanding the biology behind disease transmission. This will also help us understand how the emergence of resistance to antimalarial drugs will affect the life cycles of mosquitoes. For example, resistance to drugs is strongly linked to the ability of mosquitoes in transmitting drug-resistant parasite strains.

We need to understand many aspects about vector-borne diseases. Over 700 000 people die each year from mosquito-borne diseases. Their spread can be especially deadly in areas where there is high poverty. These diseases can also lead to chronic suffering. Dengue virus and chikungunya virus are examples of new and emerging pathogens that are transmitted by mosquitoes.

While it is possible to predict a pathogen's life cycle, the dynamics of transmission are not always the same. The dynamics and transmission of pathogens differ between aerosols as well as droplets. However, the rate of sexual transmission does not depend on density. This means that sexual transmission is more frequency dependent. A basic understanding of these diseases' biology will help us understand the mechanisms of vector-transmission.

Climate change is an important factor that influences the spread and development vector-borne illnesses. It can influence the development of vectorborne diseases and impact human behavior. Precipitation and temperature are key indicators of the seasonality or disease outbreaks. These factors can greatly affect the survival rates of both vectors and hosts. Human behavior can also play an important role in vector-borne diseases. Climate changes can also affect the frequency and severity of disease outbreaks.