Science Forum: The Human Cell Atlas

  1. Aviv Regev  Is a corresponding author
  2. Sarah A Teichmann  Is a corresponding author
  3. Eric S Lander  Is a corresponding author
  4. Ido Amit
  5. Christophe Benoist
  6. Ewan Birney
  7. Bernd Bodenmiller
  8. Peter Campbell
  9. Piero Carninci
  10. Menna Clatworthy
  11. Hans Clevers
  12. Bart Deplancke
  13. Ian Dunham
  14. James Eberwine
  15. Roland Eils
  16. Wolfgang Enard
  17. Andrew Farmer
  18. Lars Fugger
  19. Berthold Göttgens
  20. Nir Hacohen
  21. Muzlifah Haniffa
  22. Martin Hemberg
  23. Seung Kim
  24. Paul Klenerman
  25. Arnold Kriegstein
  26. Ed Lein
  27. Sten Linnarsson
  28. Emma Lundberg
  29. Joakim Lundeberg
  30. Partha Majumder
  31. John C Marioni
  32. Miriam Merad
  33. Musa Mhlanga
  34. Martijn Nawijn
  35. Mihai Netea
  36. Garry Nolan
  37. Dana Pe'er
  38. Anthony Phillipakis
  39. Chris P Ponting
  40. Stephen Quake
  41. Wolf Reik
  42. Orit Rozenblatt-Rosen
  43. Joshua Sanes
  44. Rahul Satija
  45. Ton N Schumacher
  46. Alex Shalek
  47. Ehud Shapiro
  48. Padmanee Sharma
  49. Jay W Shin
  50. Oliver Stegle
  51. Michael Stratton
  52. Michael J T Stubbington
  53. Fabian J Theis
  54. Matthias Uhlen
  55. Alexander van Oudenaarden
  56. Allon Wagner
  57. Fiona Watt
  58. Jonathan Weissman
  59. Barbara Wold
  60. Ramnik Xavier
  61. Nir Yosef
  62. Human Cell Atlas Meeting Participants
  1. Broad Institute of MIT and Harvard, United States
  2. Massachusetts Institute of Technology, United States
  3. Howard Hughes Medical Institute, United States
  4. Wellcome Trust Sanger Institute, Wellcome Genome Campus, United Kingdom
  5. Wellcome Genome Campus, United Kingdom
  6. University of Cambridge, United Kingdom
  7. Harvard Medical School, United States
  8. Weizmann Institute of Science, Israel
  9. University of Zürich, Switzerland
  10. RIKEN Center for Life Science Technologies, Japan
  11. Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center Utrecht, The Netherlands
  12. Swiss Federal Institute of Technology (EPFL), Switzerland
  13. Perelman School of Medicine, University of Pennsylvania, United States
  14. German Cancer Research Center (DKFZ), Germany
  15. Heidelberg University, Germany
  16. Ludwig Maximilian University Munich, Germany
  17. Takara Bio United States, Inc., United States
  18. John Radcliffe Hospital, University of Oxford, United Kingdom
  19. Massachusetts General Hospital Cancer Center, United States
  20. Newcastle University, United Kingdom
  21. Stanford University School of Medicine, United States
  22. University of Oxford, United Kingdom
  23. John Radcliffe Hospital, United Kingdom
  24. University of California, San Francisco, United States
  25. Allen Institute for Brain Science, United States
  26. Karolinska Institutet, Sweden
  27. KTH Royal Institute of Technology, Sweden
  28. Stanford University, United States
  29. National Institute of Biomedical Genomics, India
  30. Icahn School of Medicine at Mount Sinai, United States
  31. University of Cape Town, South Africa
  32. University of Groningen, University Medical Center Groningen, The Netherlands
  33. Radboud University Medical Center, The Netherlands
  34. Sloan Kettering Institute, United States
  35. University of Edinburgh, United Kingdom
  36. Chan Zuckerberg Biohub, United States
  37. The Babraham Institute, United Kingdom
  38. Harvard University, United States
  39. New York University, United States
  40. The Netherlands Cancer Institute, The Netherlands
  41. Ragon Institute of MGH, MIT and Harvard, United States
  42. University of Texas, United States
  43. German Research Center for Environmental Health, Helmholtz Center Munich, Germany
  44. Technical University of Munich, Germany
  45. Danish Technical University, Denmark
  46. Hubrecht Institute and University Medical Center Utrecht, The Netherlands
  47. University of California, Berkeley, United States
  48. King's College London, United Kingdom
  49. California Institute of Technology, United States
  50. Massachusetts General Hospital, United States

Peer review process

This article was accepted for publication as part of eLife's original publishing model.

History

  1. Version of Record published
  2. Accepted Manuscript published
  3. Accepted
  4. Received

Decision letter

  1. Thomas R Gingeras
    Reviewing Editor; Cold Spring Harbor Laboratory, United States

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.

Thank you for submitting your article "The human cell atlas" to eLife for consideration as a Feature Article. Your article has been favorably evaluated by a Senior Editor and three reviewers, one of whom is a member of our Board of Reviewing Editors. The reviewers have opted to remain anonymous.

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

Summary:

The reviewers were in agreement on the importance, timeliness, purpose and the potential value of the manuscript. For the most part the article is clearly written but there are several important issues that need clarification and several topics that needed to be included. In brief these are:

1) Definition: The manuscript does not do a convincing job of defining "cell type". This definition is essential for the reader to understand what the focus of the Atlas will be. The authors themselves point out that we lack an operational definition of "cell type". Single-cell genomics folks and others have grappled with defining cell type recently (see e.g. http://dx.doi.org/10.1016/j.cels.2017.03.006). However, an operational definition would be helpful for the wider community.

2) Single Cell Focus: It is made clear in the manuscript that use of single cell (SC) analysis is considered a cornerstone of the project but the text reads very much like an advertisement for SC technology. Although this approach will be needed and helpful for multiple reasons, there is a lack of balance in describing and justifying the project goal for finding, defining, characterizing and cataloguing as many cell types as possible vs. highlighting the single cell technology itself. Also of concern, is that while issues associated with SC studies are mentioned, based on the current status of the technology, it is not clear that the technology is currently ready to address issues of single cell epigenome sequencing (ChIP-seq, Hi-C, ATAC-seq). The manuscript would benefit by re-enforcing the main goal of the project of defining and cataloguing a human cell atlas rather than focusing on the single cell techniques and issues. Finally, by shifting the emphasis in this direction, this would offer the opportunity to broaden the audience for the manuscript to areas of cell sciences outside of genomics and make these audiences feel that there are areas for them to contribute to.

3) Samples: The origin of human material for cell type characterization and issues related to heterogeneity due to variable processing and inter-patient heterogeneity is not sufficiently discussed. The availability and uniform processing of human materials are critical for comprehensive and reproducible characterization of human cell types. Will cell type characterization be done mainly on post-mortem samples and if so, it would be important to mention that there will be different pipelines for their isolation and preparation (e.g. brain vs. other organs/tissues). Will other sources of samples be used such as: biopsies, material from surgical organ resections, human cell culture, or xenograft models? While samples of all these kinds will likely be utilized, the availability and pros and cons of the various means of sample selection and generation should be discussed. Which strategies for standardizing pipelines of sample collection and processing across different laboratories are envisioned?

4) Scope: The authors describe parallels between the Human Genome Project and the HCA, and highlight a few differences. But the biggest difference between the two is that the HGP had a fairly clear scope, or at least a clear first stopping point: a complete description of the human genome. Fully interpreting that sequence is a vast undertaking that was seen as beyond the scope of the HGP. The authors should clearly define the minimal deliverables of HCA version 1.0, or at least list a menu of deliverables to drive the discussion about what HCA version 1.0 should include. This could be presented as the first figure or table.

5) Cost-Benefit Issue: There is no discussion of the opportunity cost of the HCA. There will be two audiences reading this paper. The first will be our scientific colleagues that will ask the traditional question of "What does this have to do and how will it affect my work?". With this comes the danger that a diverse scientific audience will not be persuaded that there is a place for them with this project and that funds ear-marked for the HCA project will reduce support for smaller efforts. Readers might wonder whether it might not be better to just keep funding individual investigators and projects within that community, rather than (presumably) a massive, hierarchical, consortia-driven project. The manuscript should dedicate some space to discussing why the HCA is more deserving than the numerous other smaller projects that won't be funded. A second audience will be non-scientific. This audience will bring many social, economic, ethical perspectives. To address this audience might well require a different venue (i.e. a news and views-like article). However, since many publication outlets (journals, newspapers, etc.) will have writers reporting on this initial publication, it would be worth summarizing the benefits, the likely financial costs and timelines in a manner that is clear and does not need distillation of the paper's contents. This may be of importance given today's political environment since it may lower (not eliminates) possible mis-interpretation (intentional and unintentional) of these topics by non-scientific readers.

6) Model Organisms: The topic of the role of model organisms in the project is mentioned. The manuscript notes that Atlases for model organisms will be essential because we can probe the link between molecular signature and function. The authors should discuss more fully the possibility of creating an atlas for one model organism before attempting the human atlas. This strategy would provide a way to discover if meaningful molecular signatures are being collected, evaluate different sample collection and preparation strategies and provide benchmarks for different technologies that will be used. Alternatively, is it the intention of the consortium to use one or more model organism only as a system for specific functional follow-up experiments concerning individual cell types? If this is the case how many model organisms are envisioned to be used and what organ systems in each model organism will be studied?

https://doi.org/10.7554/eLife.27041.010

Author response

Summary:

The reviewers were in agreement on the importance, timeliness, purpose and the potential value of the manuscript. For the most part the article is clearly written but there are several important issues that need clarification and several topics that needed to be included. In brief these are:

1) Definition: The manuscript does not do a convincing job of defining "cell type". This definition is essential for the reader to understand what the focus of the Atlas will be. The authors themselves point out that we lack an operational definition of "cell type". Single-cell genomics folks and others have grappled with defining cell type recently (see e.g. http://dx.doi.org/10.1016/j.cels.2017.03.006). However, an operational definition would be helpful for the wider community.

In fact, this choice is deliberate. We strongly believe that it is premature, at this time, to settle on a fixed definition of “cell type.” Rather, the right definition of “cell type” will need to emerge from data (just as the definition of “gene” became clear only after looking at a large number of genes). Indeed, a recent article in Cell Systems (2017) makes clear that experts in the field currently have quite different notions of “cell type” (and many experts who were invited to contribute to the article, including several of the authors of this manuscript, declined to do so because the notion is still in flux).

To address the reviewer’s concerns, we have modified the text to clarify this issue (subsection “Taxonomy: Cell types”, second and third paragraphs).

2) Single Cell Focus: It is made clear in the manuscript that use of single cell (SC) analysis is considered a cornerstone of the project but the text reads very much like an advertisement for SC technology. Although this approach will be needed and helpful for multiple reasons, there is a lack of balance in describing and justifying the project goal for finding, defining, characterizing and cataloguing as many cell types as possible vs. highlighting the single cell technology itself. Also of concern, is that while issues associated with SC studies are mentioned, based on the current status of the technology, it is not clear that the technology is currently ready to address issues of single cell epigenome sequencing (ChIP-seq, Hi-C, ATAC-seq). The manuscript would benefit by re-enforcing the main goal of the project of defining and cataloguing a human cell atlas rather than focusing on the single cell techniques and issues. Finally, by shifting the emphasis in this direction, this would offer the opportunity to broaden the audience for the manuscript to areas of cell sciences outside of genomics and make these audiences feel that there are areas for them to contribute to.

We believe that the description of the technology is not excessive – it consumes only 7 paragraphs (out of 93) – and is essential to making the case that it is feasible now to start a Human Cell Atlas Project. These paragraphs cover a range of approaches, including single cell RNA-Seq, genomics and epigenomics, and spatial methods.

To address the reviewer’s concerns, we have modified the text to (i) clarify that the HCA is an intellectual endeavor, for which the technologies will evolve over time and (ii) note that some technologies (e.g., for epigenomic characterization) are not as mature as others.

To address the reviewer’s concerns, we have modified the text to clarify this issue (Introduction, last paragraph).

3) Samples: The origin of human material for cell type characterization and issues related to heterogeneity due to variable processing and inter-patient heterogeneity is not sufficiently discussed. The availability and uniform processing of human materials are critical for comprehensive and reproducible characterization of human cell types. Will cell type characterization be done mainly on post-mortem samples and if so, it would be important to mention that there will be different pipelines for their isolation and preparation (e.g. brain vs. other organs/tissues). Will other sources of samples be used such as: biopsies, material from surgical organ resections, human cell culture, or xenograft models? While samples of all these kinds will likely be utilized, the availability and pros and cons of the various means of sample selection and generation should be discussed. Which strategies for standardizing pipelines of sample collection and processing across different laboratories are envisioned?

As noted above, the purpose of this paper is to describe the overall concept of the Human Cell Atlas. Technical aspects about the origins, sources, handling, and processing of human samples are discussed at length in Section 2 of the HCA White paper.

To address the reviewer’s concerns, we have modified the text to make this clear by pointing to the White Paper and summarizing key salient points (subsection “Toward a Human Cell Atlas”).

4) Scope: The authors describe parallels between the Human Genome Project and the HCA, and highlight a few differences. But the biggest difference between the two is that the HGP had a fairly clear scope, or at least a clear first stopping point: a complete description of the human genome. Fully interpreting that sequence is a vast undertaking that was seen as beyond the scope of the HGP. The authors should clearly define the minimal deliverables of HCA version 1.0, or at least list a menu of deliverables to drive the discussion about what HCA version 1.0 should include. This could be presented as the first figure or table.

While the HCA White Paper contains a lengthy definition of the intended scope, we agree that this paper would benefit by expanding the description of the scope.

We have therefore expanded the description and also pointed to Sections 1 and 2 of the HCA White Paper for the detailed description of the scope of the project, including its first draft, full version, and bounds (subsection “Toward a Human Cell Atlas”).

5) Cost-Benefit Issue: There is no discussion of the opportunity cost of the HCA. There will be two audiences reading this paper. The first will be our scientific colleagues that will ask the traditional question of "What does this have to do and how will it affect my work?". With this comes the danger that a diverse scientific audience will not be persuaded that there is a place for them with this project and that funds ear-marked for the HCA project will reduce support for smaller efforts. Readers might wonder whether it might not be better to just keep funding individual investigators and projects within that community, rather than (presumably) a massive, hierarchical, consortia-driven project. The manuscript should dedicate some space to discussing why the HCA is more deserving than the numerous other smaller projects that won't be funded. A second audience will be non-scientific. This audience will bring many social, economic, ethical perspectives. To address this audience might well require a different venue (i.e. a news and views-like article). However, since many publication outlets (journals, newspapers, etc.) will have writers reporting on this initial publication, it would be worth summarizing the benefits, the likely financial costs and timelines in a manner that is clear and does not need distillation of the paper's contents. This may be of importance given today's political environment since it may lower (not eliminates) possible mis-interpretation (intentional and unintentional) of these topics by non-scientific readers.

We agree with the reviewers on both points.

For the scientific community, we have added a subsection (“(9) Impact on the scientific community”) addressing the benefits and potential costs to the broad scientific community.

For the non-scientific community, we agree with the reviewers that the main format for this interaction is through other means than this manuscript. The Organizing Committee of the HCA (sharing many co-authors of this manuscript) has published a Commentary recently (Nature, October 2017) as a concise summary of the HCA white paper. As described in the white paper (Section 7) we are committed to diverse forms of outreach to the broad non-scientific community. We briefly discuss this in the revised manuscript (subsection “(10) Engagement with the non-scientific community”).

6) Model Organisms: The topic of the role of model organisms in the project is mentioned. The manuscript notes that Atlases for model organisms will be essential because we can probe the link between molecular signature and function. The authors should discuss more fully the possibility of creating an atlas for one model organism before attempting the human atlas. This strategy would provide a way to discover if meaningful molecular signatures are being collected, evaluate different sample collection and preparation strategies and provide benchmarks for different technologies that will be used. Alternatively, is it the intention of the consortium to use one or more model organism only as a system for specific functional follow-up experiments concerning individual cell types? If this is the case how many model organisms are envisioned to be used and what organ systems in each model organism will be studied?

We agree that additional information about the considerations around model organism atlases is important. This subject is very much within the scope of the initiative, and we have added a paragraph (subsection “(5) Model organisms”) to discuss it.

We note that model organisms will only be covered in detail in the White Paper following a workshop (to be held during November 2017 in Berlin) devoted to this subject.

https://doi.org/10.7554/eLife.27041.011

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  1. Aviv Regev
  2. Sarah A Teichmann
  3. Eric S Lander
  4. Ido Amit
  5. Christophe Benoist
  6. Ewan Birney
  7. Bernd Bodenmiller
  8. Peter Campbell
  9. Piero Carninci
  10. Menna Clatworthy
  11. Hans Clevers
  12. Bart Deplancke
  13. Ian Dunham
  14. James Eberwine
  15. Roland Eils
  16. Wolfgang Enard
  17. Andrew Farmer
  18. Lars Fugger
  19. Berthold Göttgens
  20. Nir Hacohen
  21. Muzlifah Haniffa
  22. Martin Hemberg
  23. Seung Kim
  24. Paul Klenerman
  25. Arnold Kriegstein
  26. Ed Lein
  27. Sten Linnarsson
  28. Emma Lundberg
  29. Joakim Lundeberg
  30. Partha Majumder
  31. John C Marioni
  32. Miriam Merad
  33. Musa Mhlanga
  34. Martijn Nawijn
  35. Mihai Netea
  36. Garry Nolan
  37. Dana Pe'er
  38. Anthony Phillipakis
  39. Chris P Ponting
  40. Stephen Quake
  41. Wolf Reik
  42. Orit Rozenblatt-Rosen
  43. Joshua Sanes
  44. Rahul Satija
  45. Ton N Schumacher
  46. Alex Shalek
  47. Ehud Shapiro
  48. Padmanee Sharma
  49. Jay W Shin
  50. Oliver Stegle
  51. Michael Stratton
  52. Michael J T Stubbington
  53. Fabian J Theis
  54. Matthias Uhlen
  55. Alexander van Oudenaarden
  56. Allon Wagner
  57. Fiona Watt
  58. Jonathan Weissman
  59. Barbara Wold
  60. Ramnik Xavier
  61. Nir Yosef
  62. Human Cell Atlas Meeting Participants
(2017)
Science Forum: The Human Cell Atlas
eLife 6:e27041.
https://doi.org/10.7554/eLife.27041