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The Renaissance of Developmental Biology


Since its heyday in the 1980s and 90s, the field of developmental biology has gone into decline; in part because it has been eclipsed by the rise of genomics and stem cell biology, and in part because it has seemed less pertinent in an era with so much focus on translational impact. In this essay, I argue that recent progress in genome-wide analyses and stem cell research, coupled with technological advances in imaging and genome editing, have created the conditions for the renaissance of a new wave of developmental biology with greater translational relevance.

This Essay is part of the "Where Next?" Series.

It is a commonly held view that the mid 1980s to 2000 represented the golden age of developmental biology. After all, it was during this period that genetic screens in worms and flies led to the discovery of the Notch [1,2], Decapentaplegic (Dpp), or bone morphogenetic protein (BMP) [3], Toll [4,5], Hedgehog [6,7], and Wingless (Wnt) [8,9] signalling pathways, and it was soon realized that these are conserved and play key roles in mammalian development and disease. Furthermore, the developmental genetics of this era led to the identification of the homeobox [1012], the colinearity of the Hox genes in invertebrates and vertebrates [13,14], and several “master regulators” of organ or cellular identity [15,16]. Since the publication of the human genome sequence [17,18], however, the field of genomics and associated genome-wide approaches has become the hot area of research, largely eclipsing developmental biology. This change is reflected in the gradually declining impact factors of all developmental biology journals and the corresponding rise of “omics” journals [19]. Developmental biology has been further pushed to the sidelines by the growth of the field of stem cell biology following the derivation of induced pluripotent stem cells from mouse and human adult somatic cells [20,21] and the promise of rapid advances in regenerative medicine that these breakthroughs heralded. Indeed, it has almost become unfashionable to say that one is a developmental biologist, and I have been passing myself off as an “in vivo cell biologist” for a number of years. Does this mean that developmental biology is facing a continuing and inevitable decline in impact? In this essay, I contend that the opposite is the case and that, largely because of the recent advances in genomics and stem cell biology, we should look forward to the renaissance of developmental biology.

Although “omics” papers now occupy more space in the top journals than developmental biology ones, this field has also contributed enormously to our understanding of developmental mechanisms, particularly at the transcriptional level. Firstly, complete genome sequences have made it possible to knock down every gene in the Caenorhabditis elegans or Drosophila genomes in vivo using genome-wide RNAi libraries, which is a very effective way to screen for interesting developmental phenotypes [22,23]. Secondly, advances in Chip-Seq, RNA-seq, and chromosome conformation capture techniques are providing an unprecedented view of how transcription is controlled during development [2429]. Until recently, these approaches have been largely limited to the analysis of populations of cells, but recent advances in single cell transcriptomics are beginning to extend these techniques to specific cell types and even individual cells within developing organisms [3032]. These approaches can therefore start to address major unanswered questions into development. For instance, whole genome sequencing of many individual cells can reveal the inheritance patterns of random somatic mutations, from which one can infer lineage relationships and construct fate maps, which are difficult to determine by other means in mammalian embryos [33,34]. Perhaps even more significant is the use of single cell RNA-seq to classify cell types on the basis of their transcriptional profiles [35]. Although the literature contains the assertion that there are about 210 distinct cell types in humans, this is almost certainly too low by at least an order of magnitude. Single cell transcriptional profiling has the potential to reveal the full repertoire of cell types that compose our bodies, which is an essential prerequisite for understanding how it is constructed.

Given the rapid advances in genomic technologies, it is conceivable that we will soon have a detailed picture of the genome-wide distribution of chromatin states, transcription factor binding site occupancy, and mRNA and noncoding RNA transcriptomes for most cells in an organism. This will provide a wealth of information about how the epigenetic landscape interacts with tissue-specific transcription factors to control cell fates. Important though this is, however, the net output will be an inventory of which genes are expressed where and when in the developing animal. Just as mapping every synapse in the human brain is unlikely to reveal the basis of consciousness, knowing the complement of expressed genes in every cell will not explain how a tissue, organ, or whole organism acquires its form and function. Interpreting this large amount of data will require understanding how this intrinsic information is integrated with external signals and cues to control cell behaviour, a topic that lies at the heart of developmental biology. In other words, the “omics” revolution can provide the raw material for generating interesting hypotheses about how animals develop, but a great deal of developmental biology research will be needed to work out how the linear information of the genome and transcriptome is transformed into a three-dimensional cellular structure. Amongst other things, this will necessitate understanding how cell shape and cell movement are controlled in different contexts, how the direction and range of cell signalling are regulated, how cells produce and are influenced by mechanical forces, and how the collective behaviours of groups of cells reproducibly generate complex structures.

The field of stem cell biology is probably even hotter than that of genomics, with many countries targeting significant proportions of their research budgets towards this strategic area. Indeed, a third of this year’s applications for European Research Council Starting Grants in Cell and Developmental Biology were on stem cell-related topics. Stem cells are central to developmental biology, since they are the founder cells of most, if not all, developmental lineages. At present, however, most stem cell research is more applied and uses tissue culture assays to investigate questions such as the nature of “stemness” or which factors can induce pluripotent stem cells to differentiate into specific cell types. This has caused heated discussion in the developmental biology community about what its relationship should be to the stem cell field. For example, the British Society of Developmental Biology recently held its longest general meeting for years to consider whether we should change our name to the British Society of Developmental Biology and Stem Cells, a motion that was narrowly defeated after much debate [36].

This existentialist angst is partly driven by a desire to be associated with a well-funded and exciting field but also reflects the profound links between developmental biology and stem cell research. Takahashi and Yamanaka [21] did not pick transcription factors at random when trying to induce pluripotent stem cells, as two of the four factors, Oct4 and Sox2, were chosen because previous work in the early mouse embryo had shown that they are required for the pluripotency of inner cell mass cells [37,38]. One of the most remarkable recent advances in the stem cell field has been the development of multistep protocols that use scores of factors and inhibitors to induce embryonic or induced pluripotent stem cells to differentiate into specific cell types, most notably insulin-secreting pancreatic β-cells [39,40]. Many steps in these extremely complicated protocols are based on understanding and recapitulating the normal development of the pancreas, including in vivo studies that identified the signalling factors that induce endoderm, then foregut, then pancreatic endoderm, and finally endocrine precursor cells [4146]. Finally, in vivo studies are beginning to reveal that the special properties of stem cells are not so unique, and that differentiated cells can de-differentiate and regain pluripotency. For instance, multicellular germline cysts in Drosophila and mice can fragment, de-differentiate, and become germline stem cells [4749], while ductal cells of the liver and even newt muscle syncytia can revert to a stem cell state in response to damage [50,51].

For me, one of the most exciting aspects of the recent explosion of stem cell research is the amazing amount of self-organisation that can take place in vitro under appropriate culture conditions. No one would ever have predicted that a uniform starting population of embryonic stem (ES) cells could spontaneously undergo morphogenesis in culture to give rise to an optic cup with a stratified neural retina [52], that ES or induced pluripotent stem (iPS) cells could be cultured to form cerebral organoids, or “mini brains,” with defined cortical regions [53], or that a single Lgr5+ intestinal cell could form an intestinal epithelium with crypts and villi [54,55] (Fig 1). The number of organ-like structures that can now be grown in tissue culture is increasing exponentially and now includes most regions of the gut [5558], liver [50], pancreas [59,60], salivary gland [61], skin[62], prostate gland[63], Rathke’s pouch [64], neural tube [65], lung[66], and even embryoid bodies that break symmetry and recapitulate some of the cell movements of gastrulation [67]. Although it will be important to confirm that these systems recapitulate normal development, the complexity of the structures produced and their similarities to the real in vivo organs suggest this is likely to be the case. They therefore provide fantastic models for studying mammalian and, particularly, human development.

Fig 1. An intestinal organoid grown from Lgr5+ stem cells (courtesy of Meritxell Huch).

The study of human development has been hampered by the inaccessibility of the embryo in utero inside the mother and by the obvious ethical rules against performing experiments on foetuses. Both of these problems are overcome by organoid systems, several of which can be grown from iPS cells [66, 6870]. We are therefore now in a position to study how normal and diseased human tissues develop in vitro. This means that they can be observed by time-lapse imaging and analysed with the whole array of sophisticated tools that have been so successful in model organisms. A better understanding of the mechanisms that allow organoids to self-organise and undergo morphogenesis should also inform more translational research into regenerative medicine and disease modelling. After all, one wouldn’t want to use a technology on oneself without understanding how and why the components work.

An additional reason for the relative decline in the popularity of developmental biology in recent years has been the mounting pressure in many countries to focus on translational research, as this increasingly means research on humans, whereas most research on animal development until now has been carried out using worms, flies, fish, frogs, and mice. Studying the development of human organoids therefore provides a way for the field to meet this translational agenda. This does not mean we should stop research on the classic model organisms: they still provide the most amenable systems for understanding many key developmental processes and are the only systems where one can examine the development of the whole organism or the relationship between development and physiology. Nevertheless, many insights in development have come from comparisons between organisms and using each system for the experiments to which it is most suited. The addition of organoids to the developmental biologist’s repertoire will not only provide “human relevance” but will inform and enhance our understanding of developmental processes.

Both the “omics” and stem cell revolutions have been based on technological advances: for the former, the development of high throughput sequencing [71,72], and for the latter, the discovery of the Yamanaka factors [20,21,73] that proved that cellular reprogramming is possible. Developmental biology has not undergone such a dramatic revolution in recent years, perhaps because a wider diversity of techniques and approaches are needed to investigate how cells and groups of cells change fate, shape, and position during the formation of complex structures. Nevertheless, two recent advances are likely to enormously enhance our ability to analyse the complexity of development. Firstly, new microscopy techniques, such as light sheet, imaging make it possible to perform live imaging of thick specimens, such as embryos or organoids, at video rates in three dimensions [7476], while advances in super-resolution microscopy will soon allow the observation of developmental processes with molecular precision in real time [7780]. Secondly, the recent adaptation of clustered regularly interspaced palindromic repeat (CRISPR)/CAS9 technology to eukaryotes promises to transform many aspects of the field [81,82]. CRISPR can generate gene knock-outs in almost any organism or cultured cell line and can even be used to perform genome-wide screens in tissue culture using lentiviral libraries [8385]. Furthermore, because the double-strand DNA breaks induced by the Cas9 nuclease/guide RNA complex stimulate homologous recombination, one can easily introduce specific mutations or fluorescent tags into a gene of interest by providing appropriate repair templates [86,87]. This will allow sophisticated imaging and genetic analysis in nonstandard organisms and organoid systems. We therefore have an increasingly effective collection of tools to answer the exciting questions that recent advances in stem cell and “omics” research have raised.

The field of solid state physics was revitalized a few years ago by changing its name to condensed matter physics, and it may be that the developmental biology would benefit from rebranding itself in much the same way, for example, by becoming development and regenerative medicine, or four dimensional biology, or something even more catchy. Nevertheless, whatever name the field settles on, I predict that the power of these new approaches and the significance of the problems still to be solved will make the next decade a golden age for developmental biology.


  1. 1. Artavanis-Tsakonas S, Muskavitch MA, Yedvobnick B (1983) Molecular cloning of Notch, a locus affecting neurogenesis in Drosophila melanogaster. Proc Natl Acad Sci U S A 80: 1977–1981. pmid:6403942
  2. 2. Kopczynski CC, Alton AK, Fechtel K, Kooh PJ, Muskavitch MAT (1988) Delta, a Drosophila Neurogenic Gene, Is Transcriptionally Complex and Encodes a Protein Related to Blood-Coagulation Factors and Epidermal Growth-Factor of Vertebrates. Genes & Development 2: 1723–1735.
  3. 3. Padgett RW, St Johnston RD, Gelbart WM (1987) A transcript from a Drosophila pattern gene predicts a protein homologous to the transforming growth factor-beta family. Nature 325: 81–84. pmid:3467201
  4. 4. Hashimoto C, Hudson KL, Anderson KV (1988) The Toll Gene of Drosophila, Required for Dorsal-Ventral Embryonic Polarity, Appears to Encode a Transmembrane Protein. Cell 52: 269–279. pmid:2449285
  5. 5. Anderson KV, Jurgens G, Nussleinvolhard C (1985) Establishment of Dorsal-Ventral Polarity in the Drosophila Embryo—Genetic-Studies on the Role of the Toll Gene-Product. Cell 42: 779–789. pmid:3931918
  6. 6. Lee JJ, Vonkessler DP, Parks S, Beachy PA (1992) Secretion and Localized Transcription Suggest a Role in Positional Signaling for Products of the Segmentation Gene Hedgehog. Cell 71: 33–50. pmid:1394430
  7. 7. Tabata T, Eaton S, Kornberg TB (1992) The Drosophila Hedgehog Gene Is Expressed Specifically in Posterior Compartment Cells and Is a Target of Engrailed Regulation. Genes & Development 6: 2635–2645.
  8. 8. Baker NE (1987) Molecular cloning of sequences from wingless, a segment polarity gene in Drosophila: the spatial distribution of a transcript in embryos. EMBO J 6: 1765–1773. pmid:16453776
  9. 9. Rijsewijk F, Schuermann M, Wagenaar E, Parren P, Weigel D, et al. (1987) The Drosophila homolog of the mouse mammary oncogene int-1 is identical to the segment polarity gene wingless. Cell 50: 649–657. pmid:3111720
  10. 10. Mcginnis W, Garber RL, Wirz J, Kuroiwa A, Gehring WJ (1984) A Homologous Protein-Coding Sequence in Drosophila Homeotic Genes and Its Conservation in Other Metazoans. Cell 37: 403–408. pmid:6327065
  11. 11. Mcginnis W, Levine MS, Hafen E, Kuroiwa A, Gehring WJ (1984) A Conserved DNA-Sequence in Homoeotic Genes of the Drosophila Antennapedia and Bithorax Complexes. Nature 308: 428–433. pmid:6323992
  12. 12. Scott MP, Weiner AJ (1984) Structural Relationships among Genes That Control Development—Sequence Homology between the Antennapedia, Ultrabithorax, and Fushi Tarazu Loci of Drosophila. Proceedings of the National Academy of Sciences of the United States of America-Biological Sciences 81: 4115–4119. pmid:6330741
  13. 13. Krumlauf R (1992) Evolution of the Vertebrate Hox Homeobox Genes. Bioessays 14: 245–252. pmid:1350721
  14. 14. Duboule D, Morata G (1994) Colinearity and Functional Hierarchy among Genes of the Homeotic Complexes. Trends in Genetics 10: 358–364. pmid:7985240
  15. 15. Halder G, Callaerts P, Gehring WJ (1995) Induction of ectopic eyes by targeted expression of the eyeless gene in Drosophila. Science 267: 1788–1792. pmid:7892602
  16. 16. Weintraub H, Tapscott SJ, Davis RL, Thayer MJ, Adam MA, et al. (1989) Activation of muscle-specific genes in pigment, nerve, fat, liver, and fibroblast cell lines by forced expression of MyoD. Proc Natl Acad Sci U S A 86: 5434–5438. pmid:2748593
  17. 17. Lander ES, Consortium IHGS, Linton LM, Birren B, Nusbaum C, et al. (2001) Initial sequencing and analysis of the human genome. Nature 409: 860–921. pmid:11237011
  18. 18. Venter JC (2001) The sequence of the human genome (vol 292, pg 1304, 2001). Science 292: 1838–1838.
  19. 19. Journal Citation Reports (2014), Thomson Reuters.
  20. 20. Takahashi K, Tanabe K, Ohnuki M, Narita M, Ichisaka T, et al. (2007) Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell 131: 861–872. pmid:18035408
  21. 21. Takahashi K, Yamanaka S (2006) Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell 126: 663–676. pmid:16904174
  22. 22. Dietzl G, Chen D, Schnorrer F, Su KC, Barinova Y, et al. (2007) A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila. Nature 448: 151–156. pmid:17625558
  23. 23. Kamath RS, Fraser AG, Dong Y, Poulin G, Durbin R, et al. (2003) Systematic functional analysis of the Caenorhabditis elegans genome using RNAi. Nature 421: 231–237. pmid:12529635
  24. 24. Gerstein MB, Rozowsky J, Yan KK, Wang D, Cheng C, et al. (2014) Comparative analysis of the transcriptome across distant species. Nature 512: 445–448. pmid:25164755
  25. 25. Ho JW, Jung YL, Liu T, Alver BH, Lee S, et al. (2014) Comparative analysis of metazoan chromatin organization. Nature 512: 449–452. pmid:25164756
  26. 26. Negre N, Brown CD, Ma L, Bristow CA, Miller SW, et al. (2011) A cis-regulatory map of the Drosophila genome. Nature 471: 527–531. pmid:21430782
  27. 27. Lieberman-Aiden E, van Berkum NL, Williams L, Imakaev M, Ragoczy T, et al. (2009) Comprehensive mapping of long-range interactions reveals folding principles of the human genome. Science 326: 289–293. pmid:19815776
  28. 28. van de Werken HJ, Landan G, Holwerda SJ, Hoichman M, Klous P, et al. (2012) Robust 4C-seq data analysis to screen for regulatory DNA interactions. Nat Methods 9: 969–972. pmid:22961246
  29. 29. Dixon JR, Selvaraj S, Yue F, Kim A, Li Y, et al. (2012) Topological domains in mammalian genomes identified by analysis of chromatin interactions. Nature 485: 376–380. pmid:22495300
  30. 30. Shapiro E, Biezuner T, Linnarsson S (2013) Single-cell sequencing-based technologies will revolutionize whole-organism science. Nat Rev Genet 14: 618–630. pmid:23897237
  31. 31. Southall TD, Gold KS, Egger B, Davidson CM, Caygill EE, et al. (2013) Cell-Type-Specific Profiling of Gene Expression and Chromatin Binding without Cell Isolation: Assaying RNA Pol II Occupancy in Neural Stem Cells. Developmental Cell 26: 101–112. pmid:23792147
  32. 32. van Steensel B, Henikoff S (2000) Identification of in vivo DNA targets of chromatin proteins using tethered Dam methyltransferase. Nature Biotechnology 18: 424–428. pmid:10748524
  33. 33. Carlson CA, Kas A, Kirkwood R, Hays LE, Preston BD, et al. (2012) Decoding cell lineage from acquired mutations using arbitrary deep sequencing. Nature Methods 9: 78–U193. pmid:22120468
  34. 34. Frumkin D, Wasserstrom A, Kaplan S, Feige U, Shapiro E (2005) Genomic variability within an organism exposes its cell lineage tree. Plos Computational Biology 1: 382–394.
  35. 35. Shapiro E, Biezuner T, Linnarsson S (2013) Single-cell sequencing-based technologies will revolutionize whole-organism science. Nature Reviews Genetics 14: 618–630. pmid:23897237
  36. 36. Robertson E (2013) BSDB Chair's report. BSDB Newsletter. pp. 2.
  37. 37. Avilion AA, Nicolis SK, Pevny LH, Perez L, Vivian N, et al. (2003) Multipotent cell lineages in early mouse development depend on SOX2 function. Genes Dev 17: 126–140. pmid:12514105
  38. 38. Nichols J, Zevnik B, Anastassiadis K, Niwa H, Klewe-Nebenius D, et al. (1998) Formation of pluripotent stem cells in the mammalian embryo depends on the POU transcription factor Oct4. Cell 95: 379–391. pmid:9814708
  39. 39. Pagliuca FW, Millman JR, Gurtler M, Segel M, Van Dervort A, et al. (2014) Generation of functional human pancreatic beta cells in vitro. Cell 159: 428–439. pmid:25303535
  40. 40. Rezania A, Bruin JE, Arora P, Rubin A, Batushansky I, et al. (2014) Reversal of diabetes with insulin-producing cells derived in vitro from human pluripotent stem cells. Nat Biotechnol 32: 1121–1133. pmid:25211370
  41. 41. Apelqvist A, Li H, Sommer L, Beatus P, Anderson DJ, et al. (1999) Notch signalling controls pancreatic cell differentiation. Nature 400: 877–881. pmid:10476967
  42. 42. Gamer LW, Wright CV (1995) Autonomous endodermal determination in Xenopus: regulation of expression of the pancreatic gene XlHbox 8. Dev Biol 171: 240–251. pmid:7556900
  43. 43. Hebrok M, Kim SK, St Jacques B, McMahon AP, Melton DA (2000) Regulation of pancreas development by hedgehog signaling. Development 127: 4905–4913. pmid:11044404
  44. 44. Kim SK, Hebrok M, Li E, Oh SP, Schrewe H, et al. (2000) Activin receptor patterning of foregut organogenesis. Genes Dev 14: 1866–1871. pmid:10921901
  45. 45. Murtaugh LC, Stanger BZ, Kwan KM, Melton DA (2003) Notch signaling controls multiple steps of pancreatic differentiation. Proc Natl Acad Sci U S A 100: 14920–14925. pmid:14657333
  46. 46. Ninomiya H, Takahashi S, Tanegashima K, Yokota C, Asashima M (1999) Endoderm differentiation and inductive effect of activin-treated ectoderm in Xenopus. Dev Growth Differ 41: 391–400. pmid:10466926
  47. 47. Brawley C, Matunis E (2004) Regeneration of male germline stem cells by spermatogonial dedifferentiation in vivo. Science 304: 1331–1334. pmid:15143218
  48. 48. Kai T, Spradling A (2004) Differentiating germ cells can revert into functional stem cells in Drosophila melanogaster ovaries. Nature 428: 564–569. pmid:15024390
  49. 49. Nakagawa T, Sharma M, Nabeshima Y, Braun RE, Yoshida S (2010) Functional Hierarchy and Reversibility Within the Murine Spermatogenic Stem Cell Compartment. Science 328: 62–67. pmid:20299552
  50. 50. Huch M, Dorrell C, Boj SF, van Es JH, Li VS, et al. (2013) In vitro expansion of single Lgr5+ liver stem cells induced by Wnt-driven regeneration. Nature 494: 247–250. pmid:23354049
  51. 51. Sandoval-Guzman T, Wang H, Khattak S, Schuez M, Roensch K, et al. (2014) Fundamental differences in dedifferentiation and stem cell recruitment during skeletal muscle regeneration in two salamander species. Cell Stem Cell 14: 174–187. pmid:24268695
  52. 52. Eiraku M, Takata N, Ishibashi H, Kawada M, Sakakura E, et al. (2011) Self-organizing optic-cup morphogenesis in three-dimensional culture. Nature 472: 51–56. pmid:21475194
  53. 53. Lancaster MA, Renner M, Martin CA, Wenzel D, Bicknell LS, et al. (2013) Cerebral organoids model human brain development and microcephaly. Nature 501: 373–379. pmid:23995685
  54. 54. Sato T, Clevers H (2013) Growing self-organizing mini-guts from a single intestinal stem cell: mechanism and applications. Science 340: 1190–1194. pmid:23744940
  55. 55. Sato T, Vries RG, Snippert HJ, van de Wetering M, Barker N, et al. (2009) Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche. Nature 459: 262–265. pmid:19329995
  56. 56. Barker N, Huch M, Kujala P, van de Wetering M, Snippert HJ, et al. (2010) Lgr5(+ve) stem cells drive self-renewal in the stomach and build long-lived gastric units in vitro. Cell Stem Cell 6: 25–36. pmid:20085740
  57. 57. Yui S, Nakamura T, Sato T, Nemoto Y, Mizutani T, et al. (2012) Functional engraftment of colon epithelium expanded in vitro from a single adult Lgr5(+) stem cell. Nat Med 18: 618–623. pmid:22406745
  58. 58. Jung P, Sato T, Merlos-Suarez A, Barriga FM, Iglesias M, et al. (2011) Isolation and in vitro expansion of human colonic stem cells. Nat Med 17: 1225–1227. pmid:21892181
  59. 59. Greggio C, De Franceschi F, Figueiredo-Larsen M, Gobaa S, Ranga A, et al. (2013) Artificial three-dimensional niches deconstruct pancreas development in vitro. Development 140: 4452–4462. pmid:24130330
  60. 60. Huch M, Bonfanti P, Boj SF, Sato T, Loomans CJ, et al. (2013) Unlimited in vitro expansion of adult bi-potent pancreas progenitors through the Lgr5/R-spondin axis. EMBO J 32: 2708–2721. pmid:24045232
  61. 61. Nanduri LS, Baanstra M, Faber H, Rocchi C, Zwart E, et al. (2014) Purification and ex vivo expansion of fully functional salivary gland stem cells. Stem Cell Reports 3: 957–964. pmid:25448065
  62. 62. Watt FM (2014) Mammalian skin cell biology: At the interface between laboratory and clinic. Science 346: 937–940. pmid:25414300
  63. 63. Karthaus WR, Iaquinta PJ, Drost J, Gracanin A, van Boxtel R, et al. (2014) Identification of multipotent luminal progenitor cells in human prostate organoid cultures. Cell 159: 163–175. pmid:25201529
  64. 64. Suga H, Kadoshima T, Minaguchi M, Ohgushi M, Soen M, et al. (2011) Self-formation of functional adenohypophysis in three-dimensional culture. Nature 480: 57–62. pmid:22080957
  65. 65. Meinhardt A, Eberle D, Tazaki A, Ranga A, Niesche M, et al. (2014) 3D Reconstitution of the Patterned Neural Tube from Embryonic Stem Cells. Stem Cell Reports 3: 987–999. pmid:25454634
  66. 66. Dye BR, Hill DR, Ferguson MA, Tsai YH, Nagy MS, et al. (2015) In vitro generation of human pluripotent stem cell derived lung organoids. Elife 4.
  67. 67. van den Brink SC, Baillie-Johnson P, Balayo T, Hadjantonakis AK, Nowotschin S, et al. (2014) Symmetry breaking, germ layer specification and axial organisation in aggregates of mouse embryonic stem cells. Development 141: 4231–4242. pmid:25371360
  68. 68. Forster R, Chiba K, Schaeffer L, Regalado SG, Lai CS, et al. (2014) Human intestinal tissue with adult stem cell properties derived from pluripotent stem cells. Stem Cell Reports 2: 838–852. pmid:24936470
  69. 69. Spence JR, Mayhew CN, Rankin SA, Kuhar MF, Vallance JE, et al. (2011) Directed differentiation of human pluripotent stem cells into intestinal tissue in vitro. Nature 470: 105–U120. pmid:21151107
  70. 70. Watson CL, Mahe MM, Munera J, Howell JC, Sundaram N, et al. (2014) An in vivo model of human small intestine using pluripotent stem cells. Nature Medicine 20: 1310–1314. pmid:25326803
  71. 71. Bentley DR, Balasubramanian S, Swerdlow HP, Smith GP, Milton J, et al. (2008) Accurate whole human genome sequencing using reversible terminator chemistry. Nature 456: 53–59. pmid:18987734
  72. 72. Metzker ML (2010) Sequencing technologies—the next generation. Nat Rev Genet 11: 31–46. pmid:19997069
  73. 73. Okita K, Ichisaka T, Yamanaka S (2007) Generation of germline-competent induced pluripotent stem cells. Nature 448: 313–317. pmid:17554338
  74. 74. Chen BC, Legant WR, Wang K, Shao L, Milkie DE, et al. (2014) Lattice light-sheet microscopy: Imaging molecules to embryos at high spatiotemporal resolution. Science 346: 439–439.
  75. 75. Huisken J, Stainier DYR (2009) Selective plane illumination microscopy techniques in developmental biology. Development 136: 1963–1975. pmid:19465594
  76. 76. Keller PJ, Schmidt AD, Wittbrodt J, Stelzer EHK (2008) Reconstruction of Zebrafish Early Embryonic Development by Scanned Light Sheet Microscopy. Science 322: 1065–1069. pmid:18845710
  77. 77. Gould TJ, Burke D, Bewersdorf J, Booth MJ (2012) Adaptive optics enables 3D STED microscopy in aberrating specimens. Opt Express 20: 20998–21009. pmid:23037223
  78. 78. Hell SW (2007) Far-field optical nanoscopy. Science 316: 1153–1158. pmid:17525330
  79. 79. Huang B, Bates M, Zhuang X (2009) Super-resolution fluorescence microscopy. Annu Rev Biochem 78: 993–1016. pmid:19489737
  80. 80. Toomre D, Bewersdorf J (2010) A new wave of cellular imaging. Annu Rev Cell Dev Biol 26: 285–314. pmid:20929313
  81. 81. Doudna JA, Charpentier E (2014) The new frontier of genome engineering with CRISPR-Cas9. Science 346: 1077-+.
  82. 82. Hsu PD, Lander ES, Zhang F (2014) Development and Applications of CRISPR-Cas9 for Genome Engineering. Cell 157: 1262–1278. pmid:24906146
  83. 83. Shalem O, Sanjana NE, Hartenian E, Shi X, Scott DA, et al. (2014) Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells. Science 343: 84–87. pmid:24336571
  84. 84. Wang T, Wei JJ, Sabatini DM, Lander ES (2014) Genetic Screens in Human Cells Using the CRISPR-Cas9 System. Science 343: 80–84. pmid:24336569
  85. 85. Zhou Y, Zhu S, Cai C, Yuan P, Li C, et al. (2014) High-throughput screening of a CRISPR/Cas9 library for functional genomics in human cells. Nature 509: 487–491. pmid:24717434
  86. 86. Harrison MM, Jenkins BV, O'Connor-Giles KM, Wildonger J (2014) A Crispr View of Development. Genes & Development 28: 1859–1872.
  87. 87. Peng Y, Clark KJ, Campbell JM, Panetta MR, Guo Y, et al. (2014) Making designer mutants in model organisms. Development 141: 4042–4054. pmid:25336735