News, Analysis, Trends, Management Innovations for
Clinical Laboratories and Pathology Groups

Hosted by Robert Michel

News, Analysis, Trends, Management Innovations for
Clinical Laboratories and Pathology Groups

Hosted by Robert Michel
Sign In

Human Cell Atlas Project to Identify and Catalog All Human Cell Types; Could Lead to New Diagnostic Tests for Precision Medicine and Anatomic Pathologists

Even in its early stages the Human Cell Atlas project is impacting the direction of research and development of RNA sequencing and other genetic tests

No one knows exactly how many cell types exist in the human body. Though traditional texts place numbers in the hundreds, recent studies have found ranges from thousands to tens of thousands. Anatomic pathologists and clinical laboratory scientists know that the discovery of new types of human cells could lead to the creation of new medical laboratory tests.

So, it’s an important development that leaders of the Human Cell Atlas Consortium, a project comparable to the Human Genome Project, have set out to determine the exact numbers of cell types. And their findings could open up an entirely new field of diagnostic testing for clinical laboratories and anatomic pathology and lead to advances in precision medicine.

With the ability to identify cell types and sub-types associated with human disease and health conditions, medical labs could have a useful new way to help physicians make diagnoses and select appropriate therapies.

Begun in 2016, the group’s mission according to the Human Cell Atlas website is “To create comprehensive reference maps of all human cells—the fundamental units of life—as a basis for both understanding human health and diagnosing, monitoring, and treating disease.”

The ambitious project aims to catalog every cell type in the human body and “account for and better understand every cell type and sub-type, and how they interact.”

Striving for Deeper Understanding of the Basics

Cells are the basic building blocks of life, but scientists don’t know exactly how many different types of cells there are.

In an NPR interview, Aviv Regev, PhD, Professor of Biology and a core member at the Broad Institute of MIT and Harvard, investigator at the Howard Hughes Medical Institute, and co-leader of the Human Cell Atlas Consortium, said, “No one really knows how many [cells types] there will be,” adding, “People guess anything from the thousands to the tens of thousands. I’m not guessing. I would rather actually get the measurements done and have a precise answer.”

In an innovative move, Regev and her team improved the method they were already using to sort cells—single-cell RNA sequencing. “All of sudden we moved from something that was very laborious—and we could do maybe a few dozen or a few hundred—to something where we could do many, many thousands in a 15- to 20-minute experiment,” she told NPR.

Dark Daily covered a similar advance in single-cell RNA sequencing in “‘Barcoding’ Cells in Nematodes Could Bring Advances and New Medical Laboratory Tools for Treatment of Cancer and Other Chronic Diseases.”

But the project is massive. A typical human body contains about 37.2 trillion cells. So, the Human Cell Atlas scientists decided to complete preliminary pilot projects to identify the most efficient and effective strategies for sampling and analyzing the various cells to create the full atlas.

“It’s kind of like we’re trying to find out what are all the different colors of Lego building blocks that we have in our bodies,” Sarah Teichmann, PhD, Head of Cellular Genetics and Senior Group Leader at Wellcome Sanger Institute in the UK, and co-leader of the Human Cell Atlas Consortium, told NPR. “We’re trying to find out how those building blocks—how those Lego parts—fit together in three dimensions within each tissue.”

Sarah Teichmann, PhD (left), and Aviv Regev, PhD (right), are co-leaders of the Human Cell Atlas Consortium, an ambitious project of MIT/Harvard Broad Institute that seeks to “create comprehensive reference maps of all human cells—the fundamental units of life—as a basis for both understanding human health and diagnosing, monitoring, and treating disease.” Such an advance could lead to significant advances in clinical laboratory and pathology testing and move healthcare closer to true precision medicine. (Photo copyrights: University of Cambridge and MIT/Broad Institute.

Some of the early pilot projects include a partnership with the Immunological Genome Project (ImmGen) to study and map the cells in the immune system. According to the Human Cell Atlas website, the partnership “will combine:

  • “deep knowledge of immunological lineages;
  • “clinical expertise and infrastructure needed to procure and process diverse samples;
  • “genomic and computational expertise to resolve the hundreds of finely differentiated cell types that compose all facets of the immune system; and,
  • the genomic signatures that define them.”

Other areas the pilot projects will address include:

Progress So Far

In the two short years since the Human Cell Atlas project began much work has already been accomplished, according to a news release. In addition to organizing the consortium and obtaining funding, the collaborators have published a white paper describing their goals and a framework for reaching them, as well as launching the pilot projects.

Such an ambitious project, however, is not without barriers and challenges. Regev and Teichmann, along with other collaborators, outlined some of those challenges in an article published in Nature.

The complexity of the human body combined with rapidly changing technology make simply agreeing on the scope of the project challenging. In order to meet that particular challenge, the collaborators plan to work in phases and drafts, which will allow for some flexibility and increasing focus on specifics as they go.

Other challenges include:

  • keeping the entire project open and fair;
  • procuring samples with consent and in an appropriate manner; and,
  • organizing in an efficient and effective manner.

The collaborators have developed and detailed strategies for meeting each of these challenges.

The Human Cell Atlas could impact treatments for every disease that affects humans and bring healthcare closer to accomplishing precision medicine goals. By knowing what cells exist in what parts of the human body—and how they typically behave at their most basic levels—the MIT/Harvard/Broad Institute scientists hope to understand what’s happening when those cells “misbehave” in expected ways. The knowledge garnered from the Human Cell Atlas is likely to be invaluable to anatomic pathologists and clinical laboratories.

—Dava Stewart

Related Information:

Ambitious ‘Human Cell Atlas’ Aims To Catalog Every Type of Cell in the Body

‘Barcoding’ Cells in Nematodes Could Bring Advances and New Medical Laboratory Tools for Treatment of Cancer and Other Chronic Diseases

International Human Cell Atlas Initiative

The Human Cell Atlas White Paper

A Revised Airway Epithelial Hierarchy Includes CFTR-Expressing Ionocytes

Single-Cell Transcriptomes from Human Kidneys Reveal the Cellular Identity of Renal Tumors

The Human Cell Atlas: from Vision to Reality

‘Barcoding’ Cells in Nematodes Could Bring Advances and New Medical Laboratory Tools for Treatment of Cancer and Other Chronic Diseases

‘Barcoding’ Cells in Nematodes Could Bring Advances and New Medical Laboratory Tools for Treatment of Cancer and Other Chronic Diseases

Ongoing research at the University of Washington promises new methods for identifying and cataloging large numbers of cells quickly, which could lead to more individualized treatments in support of precision medicine initiatives

Researchers have found a new method for identifying specific cell types by groups, a breakthrough that some experts say could lead to new and more accurate methods for diagnosing and treating disease in individual patients, and new tools for fighting cancer and other chronic diseases. If this happens, both clinical laboratories and anatomic pathology labs would benefit from this technology.

A study published in the journal Science titled, “Comprehensive Single-Cell Transcriptional Profiling of a Multicellular Organism,” describes advances in cataloging cells that are much faster than the traditional method of using a microscope. The research is still in the experimental stage, but it is being hailed as both exciting and promising by experts in the field.

Barcoding Large Numbers of Cells for Viewing Simultaneously

To test their method, researchers from the University of Washington (UW) sequenced each cell of an individual Caenorhabditis elegans (nematode). Nematodes are transparent roundworms that have been extensively studied making them ideal for the UW study, since much information exists about their cellular structure.

The researchers developed a strategy they dubbed “single-cell combinatorial indexing RNA sequencing,” or “sci-RNA-seq” for short, to profile the transcriptomes of nuclei. A New York Times article on the study describes sci-RNA-seq as a kind of barcoding that shows which genes are active in each cell.

“We came up with this scheme that allows us to look at very large numbers of cells at the same time, without ever isolating a single cell,” noted Jay Shendure, PhD, MD, Professor of Genome Sciences at the University of Washington.

The UW researchers used sci-RNA-seq to measure the activity in 42,035 cells at the same time. Once all of the cells were tagged, or barcoded, the researchers broke them open so the sequences of tags could be read simultaneously.

“We defined consensus expression profiles for 27 cell types and recovered rare neuronal cell types corresponding to as few as one or two cells,” wrote the researchers in their published study.

Because such a rich body of research on nematodes exists, the researchers could easily compare the results that got to those procured in previous studies.

Jay Shendure, MD, PhD (above), Professor of Genomic Sciences at the University of Washington, and an Investigator at the Howard Hughes Medical Institute, was just a graduate student when his work with genetics led to the development of today’s next-generation gene sequencing technologies. His new cell-type identification technology could eventually be used by clinical laboratories and anatomic pathology groups to diagnose disease. (Photo copyright: Howard Hughes Medical Institute.)

One Giant Leap for Medical Diagnostics

Identifying cell types has been a challenge to the medical community for at least 150 years. It is important for scientists to understand the most basic unity of life, but it has only been in the last few years that researchers have been able to measure transcriptomes in single cells. Even though the research so far is preliminary, the scientific community is excited about the results because—should the methods be refined—it could mean a great leap forward in the field of cell-typing.

However, the study did not identify all of the cell types known to exist in a nematode. “We don’t consider this a finished project,” stated Shendure in a New York Times article.

Nevertheless, researchers not associated with the study feel confident about the promise of the work. Cori Bargmann, PhD, a neurobiologist and Torsten N. Wiesel Professor at The Rockefeller University, and an Investigator for the Howard Hughes Medical Institute from 1995 to 2016, states that the results “will be valuable for me and for the whole field,” adding, “Of course, there’s more to do, but I am pretty optimistic that this can be solved.”

“The ability to measure the transcriptomes of single cells has only been feasible for a few years, and is becoming an extremely popular assay,” wrote Valentine Svensson, predoctoral fellow et al, of EMBL-EBI in the UK, in a paper titled, “Exponential Scaling of Single-Cell RNA-Seq in the Last Decade.” He added, “Technological developments and protocol improvements have fueled a consistent exponential increase in the numbers of cells studied in single cell RNA-seq analyses.” The UW research represents another such improvement.

Human Cell Atlas—Understanding the Basis of Life Itself

There are approximately 37-trillion cells in the human body and scientists have long believed there are 200 different cell types. Thus, there is an enormous difference between a nematode and a human body. For medical science to benefit from these studies, massive numbers of human cells must be identified and understood. Efforts are now underway to catalog and map them all.

The Human Cell Atlas (HCA) is an effort to catalog all of those disparate cell types. The mission of HCA is “To create comprehensive reference maps of all human cells—the fundamental units of life—as a basis for both understanding human health and diagnosing, monitoring, and treating disease.”

According to HCA’s website, having the atlas completed will impact our understanding of every aspect of human biology, from immunologic diseases to cancer. Aviv Regev, PhD, of the Broad Institute at MIT, who also is an Investigator with the HHMI and is co-chair of the organizing committee at the Human Cell Atlas notes, “The human cell atlas initiative will work through organs, tissues, and systems.”

One of the many complications of creating the atlas is that the locations of cells vary in humans. “The trick,” Regev noted in the New York Times article, “is to relate cells to the place they came from.” This would seem to be at the heart of the UW researchers’ new method for “barcoding” groups of cells.

Just as sequencing the entire human genome has brought about previously unimagined advances in science, so too will the research being conducted at the University of Washington, as well as the completion of the Human Cell Atlas Project. It is possible that pursuing the goal of quickly identifying and cataloging cells will lead to advances in anatomic pathology, and allow medical laboratory scientists to better interpret genetic variants, ultimately bringing healthcare closer to the delivery of true precision medicine.

—Dava Stewart

Related Information:

Comprehensive Single-Cell Transcriptional Profiling of a Multicellular Organism

A Speedier Way to Catalog Human Cells (All 37 Trillion of Them)

Exponential Scaling of Single-Cell RNA-Seq In the Last Decade

Human Cell Atlas

Genetic Fingerprint Helps Researchers Identify Aggressive Prostate Cancer from Non-Aggressive Types and Determine if Treatment Will Be Effective

Big Data Projects at Geisinger Health Are Beginning to Help Physicians Speed Up Diagnosis and Improve Patient Care

Biomarker Trends Are Auspicious for Pathologists and Clinical Laboratories

Pathologists and Clinical Laboratories May Soon Have a Test for Identifying Cardiac Patients at Risk from Specific Heart Drugs by Studying the Patients’ Own Heart Cells

;