Stat Maker Program
Stat Maker Program - Related Videos
01:20
The JAK-STAT Signaling Pathway
0 Views •
2023
Several cytokine receptors have tightly bound Janus kinase or JAK proteins attached at their cytosolic tail. Small signaling molecules such as cytokines, growth hormones, or prolactins bind to the cytokine receptors and initiate their dimerization. The dimerization brings the cytosolic JAKs together that trans-phosphorylate and activates each other. The activated JAKs now phosphorylate cytosolic tails of the cytokine receptors, which serve as binding sites for adaptor proteins such as SH2...
07:29
Programmed Electrical Stimulation in Mice
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Cited by 50 •
2010
Programmed electrical stimulation provides the ability to determine conduction properties of the heart, and the possibility to induce and terminate cardiac arrhythmias using various pacing protocols. Using a transvenous catheter, intracardiac electrogram recordings can be obtained in mice following programmed electrical stimulation protocols to identify arrhythmogenic substrates.
07:12
Time-resolved Förster Resonance Energy Transfer Assays for Measurement of Endogenous Phosphorylated STAT Proteins in Human Cells
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Cited by 4 •
2021
Time-resolved Förster resonance energy transfer cell-based assay protocols are described for the simple, specific, sensitive, and robust quantification of endogenous phosphorylated signal transducer and activator of transcription (STAT) 1/3/4/5/6 proteins in cell lysates in a 384-well format.
01:29
Global Marketing Programs
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2025
Global marketing strategies play a vital role in how businesses operate in international markets, determining the balance between maintaining brand consistency and adapting to local preferences. Two primary approaches are Standardized Global Marketing and Adapted Global Marketing, each with distinct advantages depending on the business goals and market environment. Standardized global marketing involves using a uniform marketing strategy across all international markets. This includes...
11:00
Reprogramming Mouse Embryonic Fibroblasts with Transcription Factors to Induce a Hemogenic Program
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Cited by 1 •
2016
The protocol described here details the induction of a hemogenic program in mouse embryonic fibroblasts via overexpression of a minimal set of transcription factors. This technology may be translated to the human system to provide platforms for future study of hematopoiesis, hematologic disease, and hematopoietic stem cell transplant.
FAQs
The program places observed counts alongside predicted values for each genetic category, making the size and direction of discrepancies visible. It then evaluates those discrepancies statistically rather than treating any numerical difference as meaningful. This comparison helps determine whether an inheritance or segregation pattern remains consistent with the proposed expectation when chance variation is considered.
Chi-square analysis converts differences between observed and expected counts into a statistical measure that can be interpreted in relation to chance. Stat Maker performs the routine calculations, allowing users to focus on whether the experimental pattern provides reasonable support for a genetic hypothesis. The result is more informative than inspecting raw counts alone.
Interpretation depends on the observed counts, the expected genetic pattern, and the magnitude of their differences. A result cannot be understood from a single count in isolation because the program evaluates the full set of categories together. Clear predictions and accurately organized observations therefore help produce a meaningful assessment of inheritance or segregation data.
A visual match between experimental counts and a predicted ratio is only an initial observation. Statistical analysis asks whether the departures from that prediction are plausibly explained by chance. Stat Maker supports this second step by applying chi-square calculations, helping users distinguish an approximately fitting result from evidence that may not agree with the proposed genetic expectation.
Users should first arrange the experimental observations as counts for the relevant genetic categories and identify the corresponding predicted values. Keeping observed and expected data clearly associated prevents category mismatches during analysis. Once the entries are organized, Stat Maker can carry out the statistical calculation and return evidence that supports interpretation of the experimental result.
In genetics, the program can be applied to inheritance, segregation ratios, and trait transmission studies. It helps convert collected counts into statistical evidence that can be used when evaluating a hypothesis. By reducing routine arithmetic work, the tool also makes it easier for students and researchers to communicate whether their results agree with an expected genetic pattern.