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    Home > Biochemistry News > Biotechnology News > Scientists want to create a super-accurate 3D map of human cells: how it's going.

    Scientists want to create a super-accurate 3D map of human cells: how it's going.

    • Last Update: 2020-08-10
    • Source: Internet
    • Author: User
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    According to the Smithsonian Institution's website, most people have heard of the Human Genome Project, a cross-border, interdisciplinary scientific exploration project that year, and in 2001 published a detailed map of the human genome and preliminary analysis.
    and the Human Cell Atlas is also an ambitious international collaboration.
    how's it going? The Human Cell Mapping Program covers 185 projects, involving more than 480 scientists, with the ultimate goal of classifying some 37.2 trillion cells that make up the human body by sequencing at least 10 billion cells from all tissues, organs and systems.
    by studying the genetic characteristics of each cell, the researchers hope to better understand how cells work.
    the plan is now going well. the latest data set, released
    research team, covers the details of 530,000 immune system cells.
    researchers at MIT's Broad Institute are studying cells from human cord blood and adult bone marrow.
    However, sequencing thousands of individual cells is not easy.
    the team used new computational methods to process sequencing data and quickly identify genetic fingerprints of cell types and different cells.
    their subjects also included cell development.
    scientists used the new calculation to process 224,000 bone marrow cells in four adult patients.
    this number is about 100 times the amount of cells processed in most cell sequencing experiments to date.
    the team sequenced a similar number of cells taken from umbilical cord blood. Danielle Dionne, a member of the
    Research team, said that "collecting and processing 500,000 immune cells is a daunting task that requires close coordination and collaboration among teams across multiple areas of expertise."
    two sets of cell map data previously released by the research team were for samples containing 2,000 human spleen cells and 6,639 mouse lymphocytes.
    newly released data set of 530,000 immune cells is even larger, and the team will soon release a new data set that doubles in size -- 1.08 million cells from cord blood and bone marrow, as well as white blood cells.
    a co-author of the study also sequenced another 250,000 human developing cells, but has not released data.
    all in all, the data are a solid first step toward the ultimate goal of analyzing 10 billion cells.
    's initial goal was to develop a first draft map detailing 30 million to 100 million cells.
    human cell mapping program will accomplish three goals.
    first, create a super-accurate 3D map showing the location of different cell types in the body.
    second, revealing which genes are active in each cell, helping researchers understand the genetic development and functioning of human tissue.
    third, the project is expected to reveal new tissues in the human body.
    so far, researchers have identified about 300 different types of human cells, including fat cells and neurons.
    But in recent years, molecular analysis has helped researchers identify previously neglected tissue types, including two retinal cells and one immune cell.
    this immune cell produces an immunosuppressive steroid.
    cell mapping program is likely to reveal more new tissue types. Mike Stubbington, of the Sanger Institute in the UK, said
    : "We'll find something we're looking forward to, what we know it will be, but I'm sure we'll find something new."
    I think there will be surprises.
    " he was the program's main collaborator.
    the ultimate goal of the program is to accelerate the research process of medical researchers and biologists around the world who will use this information to study cell development and develop highly targeted drugs and treatment sourcing, leading to a new era of precision medicine.
    Source: NetEase Technology.
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