Dynamically changing the background color requires custom code that can compare the current value of a field with its value in the previous record and cell expressions that toggle the cell background color if the two values are not the same.
SSRS : Dynamically Changing Cell Colour
Recently, I was assigning a background colour (defined as Hex triplets) to values in a column within a matrix. I also wanted to overlay some text which showed the value for that particular cell. By default, you can only select one font colour for the values for a particular field in your tables/matrices. However, conditional formatting allows you to specify the font colour based on certain criteria.
We can immediately notice some issues. We can't see the value for Category 2 at all, because the background and font colour are effectively the same. Similarly, the dark blue and purple background colours make it so one has to strain to make out the values in those cells. Ideally, we need some cells to show white text, and some to show black, based on their corresponding background colour. Here comes the DAX magic to achieve this.
We could achieve this using expressions (utilising nested IIF statements) but if we wanted to change one of the thresholds we would have to change it on every cell that was shaded. A much nicer solution would be to create a function that accepts an average sale amount and returns the appropriate colour.
Chromatophores are responsible for skin coloration in fish, and their specification and differentiation into diverse pigment cell types is strictly regulated by cell type-specific gene expression profiles14. Besides melanophores, xanthophores with pteridine and carotenoid as coloring substances are also a common cell type in fish skin, and research revealed that differences in carotenoid and pteridine synthesis gene expression are correlated with differences in the visual appearance of yellow/red coloration17,18. In the present study, five pteridine synthesis-related genes (GCH1, PTS, QDPR, CSFIR1, and SLC2A11) were upregulated in YR45d and YR90d compared with YR1d. GCH1, the essential rate-limiting enzyme in pteridine synthesis, catalyzes the de novo synthesis of H4biopterin, a source of material for pteridine pigments in xanthophore precursors18. Although it is also reported to be involved in the process of melanogenesis by acting as an essential electron donor in phenylalanine hydroxylase-catalyzed conversion of l-phenylalanine into l-tyrosine, and for tyrosine hydroxylase isoform I-catalyzed generation of l-dihydroxyphenylalanine from l-tyrosine, the role of H4biopterin in pteridine pigment synthesis in fish has been more extentively studied to date18,19,20. In zebrafish, expression of GCH1 increases as xanthophores develop during the embryonic stage18. Zhang et al.11 revealed that the expression level of GCH1 in red skin of crucian carp was markedly higher than in black skin. PTS is a key cofactor for various enzymes in the pteridine synthesis pathway, including aromatic amino acid hydroxylases, and H4biopterin produced by GCH1 is converted into 6-pyruvoyltetrahydropterin by PTS21,22. In the case of inherited PTS deficiency, H4biopterin stores are depleted21. QDPR serves as another cofactor that is responsible for the regeneration of H4biopterin from quinoid dihydrobiopterin (qBH2)23. Another important gene is CSFIR1, which plays a critical role in development, proliferation, and dispersal of xanthophores24,25. CSFIR1 can act cell-autonomously within xanthophores, and its mutation can almost eliminate xanthophores, leading to the absence of any orange colour in guppy (Poecilia reticulate)25. SLC2A11 is known to be important in the development of xanthophores in teleosts by promoting their differentiation and yellow pigmentation19,26. The zebrafish mutation project found that an SLC2All mutant displayed a differentiation defect in its xanthophores26. As explained above, it is probable that these genes associated with the pteridine synthesis pathway might play important roles in the skin coloration of YR.
Safflower (Carthamus tinctorius) is a diploid crop plant belonging to the family Asteraceae and is well known as one of important oilseed crops due to edible oil containing unsaturated fatty acids. In recent years it is gaining increased attention for food, pharmaceutical and industrial uses, and hence the updating its breeding methods is necessary. Genic simple sequence repeats (SSRs) in addition of being desire molecular markers, are supposed to influence gene function and the respective phenotype. This study aimed to identify SSRs in cDNA sequences and further analysis of the functional features of the SSR-containing genes to elucidate their role in biological and cellular processes. We identified 1,841 SSR regions in 1,667 cDNA sequences. Among all types of repeats, trinucleotide repeats were the most abundant (35.7%), followed by hexanucleotide (29.6%) and dinucleotide repeats (22.0%). Thirty five SSR primer pairs were validated by PCR reaction, detected a high rate of polymorphism (>57%) among safflower accessions, physically mapped on safflower genome and could clearly discriminate the cultivated accessions from wild relatives. The cDNA-derived SSR markers are suitable for evaluation of genetic diversity, linkage and association mapping studies and genome-based breeding programmes. Occurrence of SSR repeats in biologically-important classes of proteins such as kinases, transferases and transcription factors was inferred from functional analyses, which along with variability of their repeat copies, can endow the cell and whole organism the flexibility of facing with continuously changing environment, and indicate a structure-based evolution mechanism of the genome which acts as an up-to-dating tool for the cell and whole origanism, which is realized in GO terms such as involvement of most SSR-containing genes in biological, cellular and metabolic processes, especially in response to stimulus, response to stress, interaction to other organisms and defense responses.
Not all properties in SSRS are true/false or a set list of options. Many can be configured dynamically, using expressions. Expressions are based on Visual Basic, and can help you do things like set dynamic background colors on cells, change grouping on the fly, or perform mathematical calculations. 2ff7e9595c
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