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Hybridoma Technology: Lab made Antibodies!

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Introduction Hybridoma technology is a method for producing large quantities of monoclonal antibodies (MAbs) by fusing a specific type of white blood cell (B-cell) with a myeloma (cancer) cell. This technology allows for the production of antibodies that are identical (monoclonal), providing high specificity and consistency in binding to the target antigen. Historical Background The technique was first developed by Georges Köhler and César Milstein in 1975, for which they were awarded the Nobel Prize in 1984. Hybridoma technology revolutionized immunology, leading to significant advances in diagnostic and therapeutic applications. Procedure Fig 1: General Procdure   Immunization of Host Animal: Objective: The goal is to induce a robust immune response in the host animal (commonly a mouse), leading to the production of B-cells that generate antibodies specific to the antigen of...

RIMINI vs. OSAKA: Insights on Kidney Transplant Rejection Rates

In the domain of kidney transplantation, BPAR, which stands for Biopsy-Proven Acute Rejection , is an essential issue that has to be addressed and prevented. Modern pilot researches, which include the RIMINI and OSAKA trials, highlight certain distinctive characteristics of various immunosuppressive protocols. In the RIMINI study group BPAR was much higher 22% and in the historical cohort the rate was unspecified. However, information concerning the immunosuppressants utilized in the historical data remains limited, which in turn poses a challenge to making pertinent comparisons. On the other hand, the OSAKA study which used Tac , MMF and steroids presented a BPAR of between 10-16%. Such contrast of situations suggests that there may be advantages in applying the specific combination of a drugs which was used in the experiment of OSAKA. The consequences in the RIMINI study were unfavorable; there was graft loss and five more cases of BPAR associated with poor graft function. This ...

Look deeper into DNA, examine how building blocks stack together!

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DNA, the genetic blueprint for all living cells, is made up of four nucleotide bases: Adenine (A), Guanine (G), Thymine (T), and Cytosine (C). These bases form pairs, with A pairing with T and G with C, creating the double-stranded structure of DNA. The stability of this double helix is maintained through two types of interactions: base-pairing and base-stacking. According to Mahipal Ganji, an Assistant Professor at the Department of Biochemistry, IISc, base-stacking interactions, which are generally stronger than base-pairing, can be compared to the teeth of a zipper, ensuring a secure connection.   To study the 16 possible base-stacking combinations, researchers used a novel imaging technique called DNA-PAINT (Point Accumulation in Nanoscale Topography). This method involves the random binding and unbinding of two artificially designed DNA strands in a buffer solution at room temperature. Each strand ends with a different base and is tagged with a fluorophore that emits light...

Error Bars Demystified

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Introduction to Error Bars in Biotechnology Error bars are an essential graphical tool used in biotechnology to represent the variability or spread of data points around a central value, typically the mean. These bars run parallel to one of the graph axes and provide critical insights into the data's reliability and significance. Why Include Error Bars on a Graph? Error bars are included in graphs for several reasons: Data Spread Around the Mean : Small Standard Deviation (SD) Bar : Indicates low data spread, meaning the data points are closely clustered around the mean. Large Standard Deviation (SD) Bar : Indicates high data spread, meaning the data points vary widely from the mean. Reliability of the Mean : Small SD Bar : Suggests the mean is a reliable representation of the dataset. Large SD Bar : Suggests less reliability of the mean as a representative value. Note that a large SD does not invalidate the data; biological measurements often have inherent variability. Statistical...

Spoliogotyping - A key to Genetic insights

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  Spoligotyping Spoligotyping is a molecular biological method used to describe the genetic diversity of Mycobacterium tuberculosis complex (MTBC) species in humans and animals. It involves amplifying a specific DNA region called the direct repeat (DR) region using oligonucleotide primers and then hybridizing the PCR product to a set of immobilized oligonucleotides corresponding to unique spacer DNA sequences within the DR locus. The results are interpreted by converting black squares to 1 and white squares to 0, which are then transferred to databases for further analysis. Spoligotyping helps identify spoligotype patterns, lineages, and international types of MTBC isolates, providing valuable information for understanding TB epidemiology and transmission dynamic.             Fig. 1: Genetic characterization of Mycobacterium tuberculosis strains from different region...

Multidrug Resistant and Extensively Drug Resistant: A Study

Multi-drug Resistance (MDR) Multidrug resistance (MDR)  is when cells become resistant to multiple drugs, making treatments less effective. This resistance often happens because the cells produce too many proteins that help pump the drugs out of the cells. As a result, the drugs can't reach a high enough concentration inside the cells to kill them. Multidrug resistance (MDR) in cancer involves mechanisms where cancer cells develop resistance to chemotherapy drugs through the overexpression of ATP-binding cassette (ABC) transporters such as P-glycoprotein (P-GP/ABCB1), multidrug resistance-associated proteins (MRPs/ABCCs), and breast cancer resistance protein (BCRP/ABCG2). These transporters actively pump out chemotherapeutic agents from the cancer cells, reducing intracellular drug concentrations and rendering the drugs less effective in killing cancer cells. This resistance complicates cancer treatment and can lead to treatment failures and disease progression. In Antimicrobials...

Knockdown v/s Knockout

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  Mechanism of Gene Knockdown Gene knockdown is a technique used to reduce the expression of a specific gene . This is typically achieved through RNA interference (RNAi), where small interfering RNA (siRNA) or short hairpin RNA (shRNA) molecules target the messenger RNA (mRNA) of the gene, leading to its degradation and preventing it from being translated into a protein. This process effectively reduces the level of the target protein in the cell. This method allows scientists to study the function of specific genes by observing the effects of their reduced expression on cellular processes. Steps in the Knockdown Process: Applications of Gene Knockdown Functional Genomics: By knocking down genes, researchers can study their functions and understand their roles in various biological processes and pathways . Disease Modeling: Knockdown techniques are used to create cell and animal models of diseases, helping researchers understand disease mechanisms...