HAVCR1 Antibodies

Hepatitis A virus cellular receptor 1 (HAVCR1)

May play a role in T-helper cell growth and the regulation of asthma and allergic diseases. Receptor for TIMD4 (By similarity).

May play a role in kidney injury and repair. .

Gene Information

Human
Gene Name:	HAVCR1
Uniprot:	Q96D42
Entrez:	26762

Family

Belongs to:
immunoglobulin superfamily

Alternative Names

CD365; HAVCR1; HAVCR-1; HAVCRT cell immunoglobin domain and mucin domain protein 1; hepatitis A virus cellular receptor 1; Kidney injury molecule 1; KIM1; KIM-1; T-cell immunoglobulin and mucin domain-containing protein 1; TIM1; TIM-1; TIM-1TIM; TIM1TIMD-1; TIMD1T-cell membrane protein 1

Molecular Weight

Mass (kDA):
39.25 kDA

Genomic Context

Human
Location:	5q33.3
Sequence:	5; NC_000005.10 (157028383..157069633, complement)

Tissue Specificity

Widely expressed, with highest levels in kidney and testis. Expressed by activated CD4+ T-cells during the development of helper T-cells responses.

Subcellular Localizations

Membrane; Single-pass type I membrane protein.

Diseases

• Injury To Kidney
• Acute Kidney Injury
• Kidney Diseases
• Hepatitis
• Hepatitis A
• Asthma
• Inflammation
• Kidney Failure, Chronic
• Kidney Failure
• Chronic Kidney Disease
• Proteinuria Of Undiagnosed Cause
• Autoimmune Reaction

• Diabetic Nephropathy
• Allergy
• Ischemia
• Diabetes Mellitus
• Autoimmune Diseases
• Fibrosis
• Malignant Neoplasms

Pathways

• Glomerular Filtration
• Excretion
• Pathogenesis
• Cell Activation
• Immune Response
• Cytokine Production
• T Cell Activation
• Cell Proliferation
• Cell Differentiation
• T Cell Proliferation
• Phagocytosis
• Cell Death
• Secretion

• T Cell Differentiation
• Cell Adhesion
• Lymphocyte Proliferation
• Regeneration
• Dedifferentiation
• Lymphocyte Activation
• Programmed Cell Death

PTMs

• Phosphorylation
• Glycosylation
• Cleavage

• Deacetylation
• Acetylation
• Methylation

For details, visit:
bosterbio.com/bosterbio-gene-info-cards/HAVCR1

Best Uses Of The HAVCR1 Marker From Boster Bio

Validation results are the best method to evaluate the performance of an anti-body. Boster validates antibodies using known positive and negative samples to ensure that they are highly specific and have high affinity. Boster also rewards early reviewers by offering product credits, and rewards scientists and clinicians from all over the world. Boster also conducts extensive research to ensure that antibodies are suitable for the specific applications.

qPCR is used to quantify gene expression in renal cells with ischemia.

The intriguing method of using qPCR in order to measure the expression of genes in ischemia/reperfusion damage is promising for examining the ways in which IRI can trigger severe ESKD or AKI. Ischemic kidney injury (IRI) is a complex pathophysiologic condition, and the fundamental biological mechanisms behind it are not fully understood. In addition previous studies have looked at the molecular causes of IRI in isolation and didn't consider the consequences of reperfusion and ischemia.

This study used qPCR in order to analyze the lncRNA profiles in renal tissue. The total transcript was extracted using mirVana(tm), miRNA isolation kit, and reverse transcribed with the ReverTra Ace (qPCR) kit. The reaction was performed at 37degC for 15 min and 98degC for 5 min and then at 4degC for qPCR. The melting curve analysis was conducted to confirm the specificity of the reaction. The LncRNAs which changed were AK082072 and H29.

Numerous studies have revealed that qPCR is a method to detect gene expression in ischemic tissue. The levels of mRNA can be determined by analysing the expression of genes in the kidneys of patients with ischemic disease. The levels of expression of various genes are measured by using an qPCR in real-time using the use of different fluorescent reporter technologies. The choice of an endogenous control is also addressed. A conceptual framework for data analysis is presented to help decode the methods. As qPCR technology continues to advance, the future of gene expression in ischemic kidney disease is bright.

We conducted a study on lncRNA expression patterns in CI-AKI rat kidneys and normal controls. Through high-throughput sequences, we generated the transcriptome of kidney tissue of CI-AKI animals. The study identified 910 DElncRNAs in the CIAKI group, with 74 novel transcripts. The potential functions of lncRNAs were then analyzed with bioinformatics algorithms.

We utilized a cRNA rival called renin to determine gene expression during ischemia/reperfusion in kidneys. Each tissue also had a corresponding measurement of renin mRNA. The preliminary tests were conducted to optimize qPCR parameters for kidneys. The kidney was treated with 0.2 mg of total RNA and 300fg competitor DNA from the hypothalamus, the brain, and adrenal. Then, we utilized slot the results of blots to make comparisons.

We discovered that ischemic kidneys have a variety of genes that have differential expression. We found that upregulation of SNHG6 gene could increase the development of fibrosis in long run. We recommend qPCR to determine the expression of the gene in ischemic kidney disease. You may want to consider these genes as possible targets. They may not be a good candidate to participate in clinical trials, however it is an interesting method of measuring the expression of genes in ischemic renal disease.

RNAseq was also used to determine expression levels of various kidney-related genes. Ninety lncRNAs were identified using an untargeting method to measure gene expression. We also identified a few genes whose expression decreased in the kidney following IRI. These genes include the linc1242 gene, linc1610-(med), and the linc1633.

qPCR to quantify gene expression in

A popular method of biological research is to utilize real-time polymerase chains reaction (qPCR), which can be used to determine gene expression in yeast and in bacteria. It is time-consuming to create and test the primer/probe combination. Fortunately, modern qPCR tools allow for the monitoring of multiple DNA amplification reactions simultaneously. This allows scientists to run multiple assays on one sample, which can save time and money.

The use of qPCR for quantifying gene expression is a powerful method for identifying and comparing transcript levels in samples. Boster Bio qPCR systems can be used with all mastermixes available in the market. They include 12 tested qPCR tests. The Human Endogenous Control Panel is an extensive database that includes the expression of reference genes. This allows researchers to validate a wide range of biological samples.

The use of housekeeping genes as controls using qPCR is another efficient method. While housekeeping genes are the same in many biological samples, they are often different in clinical samples. Therefore, it is important to select the most appropriate housekeeping genes to use in gene expression analysis. Housekeeping genes can be employed to ensure that only the most relevant RNAs in the sample DNA are amplified. The qPCR technique can be applied to any biological specimen regardless of whether it's human cells or a Fungus.

Real-time PCR is a preferred method for the analysis of gene expression of a small number genes. When using this technique, the measured variation in gene expression is comprised of true biological variation aswell in confounding factors. To remove these confounding factors the need for normalization. Although the majority of qPCR systems use references genes, they do not always display constant expression under all conditions. It is therefore important to determine the most appropriate reference genes for the qPCR procedure.

To ensure accuracy, the data gathered using quantitative RT-PCR must be normalized. Real-time PCR tests must be normalized to a reference in order to achieve this. Random housekeeping genes can introduce significant and irregular errors to the results. GeNorm chooses a suitable reference gene on the basis of the conditions for qPCR. However, it is important to select the right reference gene for your research.

When using qPCR to quantify gene expression, it is crucial to plan and execute the experiments accordingly. The results may be affected by a variety of factors, such as amplification efficiency or the concentration of the template. Valid methods rely on a specific concentration or diluting of the RNA. In some cases there may be no template copy. Once this is completed the data can be validated and interpreted. It is important to know that the data generated by qPCR can be used to determine the effect of a particular treatment.

The best way to evaluate the impact of RNA Polymerase Inhibitors on the immune system is by using the qPCR method to measure gene expression. Boster Bio's qPCR technology is quick and precise, making it possible to accurately measure the expression of genes in many different samples. This technology also permits multiplex qPCR measurements. The results may not be the same when you try to determine the level of expression of a gene among several samples.

Sensitivity to Picograms ELISA kits

There are a range of commercial ELISA kits for the detection of HAVCR1 in a range of biological samples. However, the level of method development and critical testing of reagents can differ between kits. Some kits may not be sensitive enough for development of drugs or clinical study analysis. Fortunately, there are several Picogram sensitivity ELISA kits available for this type of marker.

Picogram ELISA readers and SpectraMax are both sensitive to detect TNF-1a, IL-1sss and HAVCR1. Both kits are designed to allow measurements at low levels. In this study, the ELISA kits were tested using Molecular Devices SpectraMax(r) readers and the i3x. To prepare the Sword ELISA Boosters, we prepared 3.2 mL of 5X Sword Development solution into 12.8 mL deionized water.