For MEA, we use a compendium of motifs consisting of all vertebrate motifs in the JASPAR CORE database (17 (link)) plus all motifs derived for mouse TFs in the UniPROBE database (18 (link)). This compendium contains 532 motifs. We have made no effort to reduce the redundancy of the motif database because we believe doing so is generally unwarranted in central motif enrichment analysis. The statistical power of CMEA is extremely high, so the redundancy has little effect on its ability to detect enriched motifs, and duplicate motifs are often of varying (unknown) quality or were derived using different methods (e.g. in vivo versus in vitro methods), so including them in the analysis can be informative.
In Vitro Techniques
These techniques are used in basic research and clinical studies to better understand biological processes and diseases as well as to test and develop new medications and diagnostic procedures.
By leveraging innovative AI-powered tools, researchers can optimize their in vitro workflows and ensrue the reproducibility and efficiency of their studies.
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For MEA, we use a compendium of motifs consisting of all vertebrate motifs in the JASPAR CORE database (17 (link)) plus all motifs derived for mouse TFs in the UniPROBE database (18 (link)). This compendium contains 532 motifs. We have made no effort to reduce the redundancy of the motif database because we believe doing so is generally unwarranted in central motif enrichment analysis. The statistical power of CMEA is extremely high, so the redundancy has little effect on its ability to detect enriched motifs, and duplicate motifs are often of varying (unknown) quality or were derived using different methods (e.g. in vivo versus in vitro methods), so including them in the analysis can be informative.
For most of the mutagenized genes, the R1 and F3 primers were designed to delete the coding region from 6 bp after the start codon to 30 bp before the stop codon. Stop codons were inserted in all three frames to prevent fusion of the N-terminus of the targeted open reading frame with the Kmr protein. The last 30 bp were retained to preserve potential ribosomal binding sites used by adjacent downstream genes. The upstream retained region was extended from 6 bp to 100 bp when two neighboring genes were located head-to-head in opposite orientation to prevent deletion of potential promoters for flanking genes. Primers R1 and F3 contained 25-nt sequences that are complementary with the antibiotic selection cassette at their 5' ends. The P1, P2, and various T1 primers were designed for sequencing to confirm mutants. The sequence of every primer is documented in Table S1.
Three PCR amplicons were created using F1/R1, F2/R2 and F3/R3. All PCR reactions were performed at 94°C for 1 min, and 30 cycles of 94°C for 30 sec, 54°C for 30 sec and 68°C for 1.5 min. After DNA purification by PureLink 96 PCR purification kits (Invitrogen), the three PCR amplicons were combined in equal amounts in one tube and amplified again using the F1 and R3 primers to obtain the final linear recombinant PCR amplicon. Conditions were 94°C for 2 min, 30 cycles of 94°C for 30 sec, 55°C for 30 sec and 68°C for 3.5 min, and finally 68°C for 4 min. High-fidelity Platinum® Taq DNA polymerase (Invitrogen) was used in all reactions.
Appearance
The formulated gels were examined visually for their color, appearance, and consistency.
Determination of pH
The pH of the formulation was determined by using a digital pH meter (HANNA 211).
Determination of viscosity
The viscosity of the formulation was studied by a digital viscometer (Rotary viscometer STS-2011) using spindle R7 at 25 ± 10 °C.
Determination of drug content
One gram of formulation was diluted with 100 mL of ethanol 95% with proper mixing. The solution was filtered and was analysed for drug content by HPLC method with proper dilution of the sample.
In vitro drug release studies
In vitro release studies were performed using cellulose nitrate membrane. For this experiment, a vertical Franz diffusion cell with a surface area of 2.54 cm2 and a reservoir capacity of 9.5 mL was used. The membrane was placed between the two halves of the diffusion cell. The receptor compartment contained a mixture of water and ethanol (50:50, v/v), and its temperature was maintained at 32 ± 0.1 °C and stirred continuously using a magnetic stirrer. Each formulation weighing 0.5 g of microsponge based gel was placed on the donor side. A total of 2 mL of the sample was withdrawn from the receptor compartment at definite time intervals and replaced with an equal volume of fresh receptor fluid. The aliquots were suitably diluted with the receptor medium and analysed by HPLC method14 (link)–16 (link).
In vitro drug release kinetics
To investigate the release mechanism of CLN-free base from the microsponge loaded gels, the release data was analysed using zero order, first order, Higuchi, Hixson-Crowell, and Korsmeyer-Peppas.
Stability study
Optimized batches of CLN microsponge gels were monitored for up to 6 months at 40 ± 2°/75 ± 5% RH as per ICH guidelines17 . At the interval of 1, 2, 3, 4, 5, and 6 months, samples were withdrawn and analysed to determine changes in appearance, pH, viscosity and drug content, and drug release14 (link).
Most recents protocols related to «In Vitro Techniques»
Statistical analysis was performed using Prism v 6.0 (GraphPad software Inc., San Diego, CA) or R statistical v 3.3.1 software. For analysis of different measurements, a normality test was conducted, when the number of samples was sufficient. Variance was assessed to test for possible statistical analysis. For samples following a normal Gaussian distribution, a Student t-test was applied, either paired or unpaired, depending on the experimental data. When samples did not pass the normality test, a non-parametric test was applied (Mann–Whitney for unpaired samples and Wilcox on signed-rank test for paired samples). The correlation between the expression and methylation of Notch3 was done using a Cox test. The statistics on IHC of normal tissues compared to tumor tissues of patients with respect to cell localizations was done using a Chi-squared test of conformity. Differences between groups of the survival analysis were tested by log-rank tests. *p < 0.05; **p < 0.01; ***p < 0.001.
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More about "In Vitro Techniques"
These methods are crucial in basic research and clinical studies, enabling researchers to better understand biological processes, diseases, and test new medications and diagnostic tools.
Some common in vitro techniques include cell culture, organ perfusion, and a variety of other lab-based experiments.
Leveraging innovative AI-powered tools, such as PubCompare.ai, can help optimize in vitro workflows and ensure the reproducibility and efficiency of these studies.
PubCompare.ai allows researchers to locate protocols from literature, pre-prints, and patents, and compare techniques and products to identify the most effective approaches.
In the realm of in vitro research, various materials and reagents play a crucial role.
Fetal bovine serum (FBS) is a commonly used supplement in cell culture media, providing essential growth factors and nutrients.
Antibiotics like penicillin and streptomycin are often added to cell culture systems to prevent bacterial contamination.
The Adeno-X Rapid Titer Kit, for example, is a tool used to quantify adenovirus titers in vitro.
Analytical techniques, such as UV spectroscopy, are employed to characterize and quantify biomolecules in in vitro experiments.
Specialized cell culture flasks, coated with extracellular matrix (ECM) proteins like ECM625, can provide a more physiologically relevant microenvironment for cell growth and differentiation.
Incorporating epidermal growth factor (EGF) into in vitro models can stimulate cell proliferation and migration, while the use of Dulbecco's Modified Eagle Medium (DMEM) provides a nutrient-rich environment for cell culture.
By leveraging these tools and techniques, researchers can optimize their in vitro workflows, ensure reproducibility, and advance our understanding of biological systems and disease mechanisms.
The future of in vitro research is being shaped by the integration of innovative AI-powered tools, such as PubCompare.ai, which empower scientists to explore new frontiers in a more efficient and effective manner.