Human X3p Genechip
Human X3p Genechip - Related Videos
12:31
In Vivo Modeling of the Morbid Human Genome using Danio rerio
0 Views •
Cited by 65 •
2013
Here, we present a systematic approach for developing physiologically relevant, sensitive and specific in vivo assays for interpreting variation in human pathology. Transient genetic manipulation via microinjection of WT and mutant human mRNA and morpholino (MO) antisense oligonucleotides harness the tractability of the developing zebrafish embryo to rapidly assay pathogenic mutations, especially, but not exclusively, in the context of human developmental disorders.
10:22
Enrichment of Bruch's Membrane from Human Donor Eyes
0 Views •
Cited by 14 •
2015
Identifying proteins specifically associated with Bruch’s membrane in human eyes is an important step in understanding the biochemical mechanisms behind eye diseases such as age-related macular degeneration. This protocol describes how to enrich this sheet of extracellular matrix for down-stream biochemical analysis.
11:14
Ex Vivo Infection of Human Lymphoid Tissue and Female Genital Mucosa with Human Immunodeficiency Virus 1 and Histoculture
0 Views •
Cited by 29 •
2018
Infection of human tissues with human immunodeficiency virus (HIV) ex vivo provides a valuable 3D model of virus pathogenesis. Here, we describe a protocol to process and infect tissue specimens from human tonsils and female genital mucosae with HIV-1 and maintain them in culture at the liquid-air interface.
07:38
Techniques for Imaging Ca2+ Signaling in Human Sperm
0 Views •
Cited by 17 •
2010
Stimulus-evoked [Ca2+]i signals of individual human sperm are assessed. Motile cells are loaded with Ca2+-sensitive fluorescent dye (AM-ester method) and immobilised in a perfusable chamber. Cells are imaged by time-lapse fluorescence microscopy and stimulated via the perfusing medium. Responses of single cells (or regions) are analysed offline using Excel.
14:03
Transduction of Human Cells with Polymer-complexed Ecotropic Lentivirus for Enhanced Biosafety
0 Views •
Cited by 8 •
2011
Lentiviruses are a valuable research tool for exploring gene function; however, researchers may wish to avoid production of pantropic lentivirus encoding known or suspected oncogenes. As an alternative, we present a safer protocol for use of ecotropic lentivirus on human cells modified to express the ecotropic receptor mSlc7a1.
FAQs
Complementary base pairing gives each probe-target interaction its transcript-level specificity. RNA is used to generate fluorescently labeled targets, which bind matching oligonucleotide probes on the array. Fluorescent signal intensity then provides a relative measure of the corresponding transcript abundance. Because the readout depends on hybridization and signal strength, comparisons across biological samples are central to interpreting the platform.
The fluorescence readout reflects relative, rather than directly stated absolute, transcript abundance. Its main value therefore comes from examining differences between biological samples, such as cells exposed to different experimental conditions or samples associated with different disease states. These comparisons help distinguish genes whose expression changes and connect molecular differences with broader biological phenotypes.
Arranging oligonucleotide probes across a solid surface allows many transcript targets to be assessed within one experiment rather than measuring genes one at a time. Each probe interacts with a complementary RNA-derived target, while the collective fluorescence pattern summarizes expression across thousands of human genes. This broad view supports studies of coordinated cellular function and regulation.
A typical study begins with biological samples, derives RNA-based targets, labels them fluorescently, and exposes them to the array’s complementary oligonucleotide probes. The resulting hybridization signals are then used to compare transcript abundance across samples. This workflow produces an expression profile that can be examined for genes changing with disease-associated states or experimental conditions.
The platform is suited to comparisons among biological samples when the goal is to detect differential gene expression. Researchers can examine molecular changes associated with disease, assess responses to experimental conditions, or compare cellular states. The resulting differences help identify genes and expression patterns that may relate transcript-level activity to observable biological phenotypes.
Its large-scale output connects many transcript measurements with questions about cellular function and regulation. Instead of restricting an investigation to a single gene, researchers can examine coordinated expression changes across thousands of human genes and relate those changes to disease-associated molecular states or experimental responses. This makes the platform useful for linking molecular activity with broader biological phenotypes.