Transcriptomics

Expression of genes related to tolerance to low temperature for maize seed germination

I. C. Silva-Neta, Pinho, E. V., Veiga, A. D., Pìnho, R. G., Guimarães, R. M., Caixeta, F., Santos, H. O., and Marques, T. L., “Expression of genes related to tolerance to low temperature for maize seed germination”, vol. 14, pp. 2674-2690, 2015.

The aim of this study was to characterize maize lines tolerant to cold temperatures during the germination process. Seeds from lines with different levels of tolerance to low temperatures were used; 3 lines were classified as tolerant and 3 as susceptible to low germination temperatures. A field was set up to multiply seeds from selected lines. After the seeds were harvested and classified, we conducted physiological tests and analyzed fatty acid content of palmitic, stearic, oleic, linoleic, linolenic, and eicosenoic acids.

Transcriptomic profiles of Japanese medaka (Oryzias latipes) in response to alkalinity stress

Z. L. Yao, Wang, H., Chen, L., Zhou, K., Ying, C. Q., and Lai, Q. F., “Transcriptomic profiles of Japanese medaka (Oryzias latipes) in response to alkalinity stress”, vol. 11, pp. 2200-2246, 2012.

Oryzias latipes (Adrianichthyidae), known as Japanese medaka or Japanese killifish, is a small 2-4 cm long fish common in rice paddies in coastal Southeast Asia and is also a popular aquarium fish. It has been widely used as a research model because of its small size and because it is very easy to rear. Alkalinity stress is considered to be one of the major stressors on fish in saline-alkaline water.

BNDb - Biomolecules Nucleus Database: an integrated proteomics and transcriptomics database

A. C. Faria-Campos, Gomes, R. R., Moratelli, F. S., Rausch-Fernandes, H., Franco, G. R., and Campos, S. V. A., “BNDb - Biomolecules Nucleus Database: an integrated proteomics and transcriptomics database”, vol. 6. pp. 937-945, 2007.

Proteomics correspond to the identification and quantitative analysis of proteins expressed in different conditions or life stages of a cell or organism. Methods used in proteomics analysis include mainly chromatography, two-dimensional electrophoresis and mass spectrometry. Data generated in proteomics analysis vary significantly, and to identify a protein it is often necessary to perform a series of experiments, comparing its results to those found in proteomics databases.

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