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Related Concept Videos

Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Sequences01:29

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Sequences are fundamental mathematical objects consisting of ordered lists of numbers that follow a specific rule or pattern. Sequences are critical in various mathematical concepts, including calculus, series, and number theory. They can model real-world phenomena such as population growth, financial investments, and physical processes like the diminishing height of a bouncing ball.Each number in a sequence is referred to as a term. Typically, the terms are denoted as a1, a2, a3,…, where...
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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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Arithmetic Sequences01:30

Arithmetic Sequences

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An arithmetic sequence is a structured arrangement of numbers where each term is derived by adding a constant value, known as the common difference, to the previous term. This consistent pattern allows for the efficient computation of any term within the sequence as well as the cumulative sum of multiple terms. The formula for finding the nth term of an arithmetic sequence is:Here, aₙ represents the nth term of the sequence, a is the first term, d is the common difference, and n is the...
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Next-generation Sequencing03:00

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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Updated: Jan 29, 2026

3' End Sequencing Library Preparation with A-seq2
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SCITO-seq2: ultra-high-throughput single-cell transcriptome and epitope sequencing.

Su-Hyeon Lee1, Bo-Yeong Jin2,3, Cho-Rong Lee4

  • 1Department of Biomedical Sciences, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.

Genome Biology
|January 28, 2026
PubMed
Summary
This summary is machine-generated.

SCITO-seq2 advances single-cell multi-omics by combining RNA and protein profiling in over 100,000 cells. This cost-effective platform enhances autoimmune disease research by identifying immune cell signatures.

Keywords:
CTLA4 haploinsufficiency with autoimmune infiltrationChildhood systemic lupus erythematosusSingle-cell multi-omicsUltra-high-throughput sequencing

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Area of Science:

  • Immunology
  • Genomics
  • Proteomics

Background:

  • Single-cell multi-omics technologies are crucial for understanding complex biological systems.
  • Existing methods face challenges in scalability, cost-effectiveness, and precise molecular profile matching.

Purpose of the Study:

  • To introduce SCITO-seq2, an improved platform for ultra-high-throughput single-cell RNA and protein analysis.
  • To demonstrate the utility of SCITO-seq2 in dissecting immune cell heterogeneity in autoimmune diseases.

Main Methods:

  • SCITO-seq2 integrates probe-based RNA detection with protein profiling using shared pool barcoding.
  • The platform supports cell hashing for efficient sample multiplexing.
  • Analysis was performed on over 100,000 cells from autoimmune disease cohorts.

Main Results:

  • SCITO-seq2 achieved robust quantification of transcripts and surface proteins across a large cell population.
  • Precise matching of molecular profiles within multiplexed droplets was ensured by the barcoding strategy.
  • The platform successfully identified minor immune clusters and disease-specific protein signatures in autoimmune diseases.

Conclusions:

  • SCITO-seq2 offers a scalable, streamlined, and cost-effective next-generation single-cell multi-omics workflow.
  • This technology enables deeper insights into the cellular mechanisms underlying autoimmune diseases.
  • SCITO-seq2 facilitates the discovery of novel biomarkers and therapeutic targets.