Chip Sequencing
Chip Sequencing - Related Videos
09:52
Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing (ChIP-seq)
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Cited by 15 •
2013
The combination of chromatin immunoprecipitation and ultra-high-throughput sequencing (ChIP-seq) can identify and map protein-DNA interactions in a given tissue or cell line. Outlined is how to generate a high quality ChIP template for subsequent sequencing, using experience with the transcription factor TCF7L2 as an example.
07:50
Chip-Based Digital PCR to Detect Rare Transcript Variants Using a Nanofluidic Chip
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2025
This video demonstrates chip-based digital PCR — a variation of the digital PCR technique that is useful in detecting rare transcript variants. The PCR reaction is partitioned into the chambers of a nanofluidic chip, each of which acts as an independent reaction. The detection of fluorescence signals from the chambers with amplified targets confirms the presence of rare transcript variants in the sample.
13:47
Chromatin Immunoprecipitation (ChIP) using Drosophila tissue
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Cited by 10 •
2012
Recently high-throughput sequencing technology has greatly increased sensitivity of Chromatin Immunoprecipitation (ChIP) experiment and prompted its application using purified cells or dissected tissue. Here we delineate a method to use ChIP technique with Drosophila tissue, which can address the endogenous chromatin state in a well-characterized biological system.
01:35
Organ-on-Chip Models
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2026
Introduction to Organ-on-Chip Models Organ-on-chip models are advanced microphysiological systems that recreate key structural and functional features of human organs in a controlled laboratory setting. These devices integrate living human cells within microfluidic channels, allowing researchers to simulate tissue–tissue interfaces, fluid flow, and mechanical forces that are essential for normal organ function. Unlike traditional cell cultures, which often lack these dynamic physiological cues,...
11:23
Lensless Fluorescent Microscopy on a Chip
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Cited by 8 •
2011
A lensless on-chip fluorescent microscopy platform is demonstrated that can image fluorescent objects over an ultra-wide field-of-view of e.g., >0.6-8 cm2 with <4μm resolution using a compressive sampling based decoding algorithm. Such a compact and wide-field fluorescent on-chip imaging modality could be valuable for high-throughput cytometry, rare-cell research and microarray-analysis.
FAQs
When a complementary nucleotide is incorporated during DNA copying, hydrogen ions are released into the reaction well. This changes the local pH, and the semiconductor sensor detects that chemical shift rather than a fluorescent signal. The measured response therefore links a biochemical incorporation event to sequence information, allowing the base order of the copied DNA fragment to be determined.
Chip sequencing relies on chemical detection instead of fluorescence-based imaging. Semiconductor sensors register pH changes produced by nucleotide incorporation directly within the reaction wells, removing the need for fluorescent labels and optical observation. This detection strategy can support rapid sequence analysis while using a signal that arises from the copying reaction itself.
Individual wells keep DNA fragments in separate reaction environments while copying occurs. This physical organization allows chemical changes associated with incorporation to be measured locally, helping connect each detected signal with the fragment being analyzed. Because many wells can operate as part of the same chip, the design also supports scalable characterization of genetic material.
A chip sequencing workflow centers on placing DNA fragments in individual reaction wells, copying those fragments through nucleotide incorporation, and monitoring the resulting hydrogen-ion release. Local pH changes are converted by chip sensors into sequence data. The resulting information can then be used to characterize either targeted DNA or broader genomic material, depending on the biological study.
The method is useful when researchers need efficient characterization of genomic or targeted DNA. Supported applications include detecting mutations, identifying microbes, and studying gene expression. Its rapid and scalable signal-detection format can be relevant when biological investigations require sequence information across many fragments or when the analysis focuses on a defined genetic target.
For mutation detection, sequence data can reveal differences in the analyzed genetic material that distinguish altered DNA from the sequence being examined. In microbial identification, the same capability supports characterization of microbial genetic material. These applications illustrate how the platform can serve both targeted investigations and broader biological analyses without relying on fluorescent labeling or optical imaging.