// app/rna-sequencing/single-cell-rna-sequencing/components/SingleCellIntroduction.jsx
import IntroductionLayout from '../../../components/shared/IntroductionLayout';

const SingleCellIntroduction = () => {
  const contentItems = [
    "Single Cell RNA Sequencing (scRNA-seq) analyzes gene expression at the resolution of individual cells, allowing for the exploration of cellular transcriptomic heterogeneity and the discovery of rare cell types within complex tissues.",
    "The workflow involves isolating individual cells from a sample, often using techniques like fluorescence-activated cell sorting (FACS), followed by RNA extraction, library preparation and (or) all the mRNA molecules in each cell are specifically barcoded either by capturing individual cells in a gel-emulsions (Gem; 10X) or Split-pool approach.",
    "The bioinformatics pipeline includes data preprocessing, which involves quality control and normalization of the sequencing reads. The reads are then aligned to a reference genome or transcriptome to identify gene expression levels in each cell. Subsequent analysis involves clustering of cells based on expression profiles, differential gene expression analysis, and the identification of cell types and states.",
    "Single-cell high-resolution transcriptome profiling offers valuable insights into gene regulatory networks and unveils diverse gene expression patterns within individual cells across cell cultures, tissues, and organs."
  ];
  const advantageItems = [
    "Unlike traditional bulk RNA sequencing, which averages gene expression across many cells and can hide unique cellular differences, single-cell RNA sequencing examines each cell individually. This reveals variations in gene expression and provides detailed insights into cellular functions, development, and disease mechanisms that are often lost in population-level data.",
    "Enables the discovery and characterization of rare or previously unrecognized cell populations, essential for understanding complex biological systems and disease mechanisms.",
    "Delivers high-resolution data on gene expression patterns, allowing for precise mapping of gene regulatory networks and cellular states, and uncovering intricate details of cellular interactions.",
    "Supports the identification of biomarkers and therapeutic targets by offering a detailed snapshot of gene activity specific to individual cell types or states, facilitating more targeted and effective research and treatments."
  ];

  return (
    <IntroductionLayout
      introTitle="Introduction and Workflow"
      advantageTitle="Advantage"
      introItems={contentItems}
      advantageItems={advantageItems}
      imageUrl="/images/rna/Single_cell_RNA_sequencing.png"
      imageAlt="Single Cell RNA Sequencing Workflow"
      useParagraphs={true}
    />
  );
};

export default SingleCellIntroduction;
