Signaling waves determine embryonic fates

NEWS RELEASE

Jeff Falk
713-348-6775
jfalk@rice.edu

Mike Williams
713-348-6728
mikewilliams@rice.edu

Signaling waves determine embryonic fates

Rice University lab shows cell-signal pathway dynamics prompt first patterns in embryos

HOUSTON – (Oct. 28, 2019) – Timing is everything for young cells waiting to determine their identities.

Research by Rice University bioscientist Aryeh Warmflash and graduate student Sapna Chhabra shows homogenous colonies of human embryonic stem cells use dynamic molecular signaling waves that pass from cell to cell and trigger them to differentiate.

Once prompted, the cells begin to organize into the three germ layers — the endoderm, mesoderm and ectoderm — that ultimately become an embryo.

A ring of red cells representing the mesoderm germ layer appear in a stem-cell gastrulation model developed by a Rice University lab. Embryonic stem cells begin to self-organize when they sense interacting waves of molecular signals that help them start and stop differentiating into patterns that ultimately guide cells toward becoming skin, bone, nerve, organs and blood. (Credit: Warmflash lab/Rice University)

A ring of red cells representing the mesoderm germ layer appear in a stem-cell gastrulation model developed by a Rice University lab. Courtesy of the Warmflash lab

The Rice discovery counters explanations dating back to 1952 research by British mathematician Alan Turing, who argued signaling gradients could self-organize through a mechanism now known as a Turing instability. Such a process would theoretically allow a stable gradient of molecules to deliver signals of different strengths to each cell.

Warmflash, Chhabra and their colleagues show such gradients do not exist in stem-cell colonies and that the process is far more dynamic than previously appreciated. They observed confined stem-cell colonies and used mathematical models to determine that such a mechanism could not explain the signaling patterns and waves they saw trigger differentiation into germ layers. These layers then turn into organs, bone, skin and blood.

Their work, detailed in PLOS Biology, investigates dynamic interactions between the BMP, Wnt and NODAL signaling pathways as part of a long-term study to decode the process by which a single fertilized cell becomes a human being. To do so, they use special patterned plates that force stem cells to grow in tiny circular colonies.

The researchers can then see, measure and perturb the colonies as they progress through the very earliest stages, forming patterns of differentiated cells but never progressing to the point of becoming an embryo.

A stem-cell gastrulation model by Rice University bioscientists shows bright cells affected by a wave of Wnt signals. The black stripe-like regions in between cells are membranes that have been computationally removed from the images. Courtesy of the Warmflash lab)

In the current study, the researchers applied BMP (bone morphogenetic protein) to the colonies. Signals transmitted through this pathway caused the cells to start and maintain a wave of cell-to-cell Wnt signals, which traveled from the perimeter toward the center of the colony.

Wnt, in turn, initiated a wave of NODAL signals that moved independently toward the center. By measuring the cascade, the researchers showed the duration of BMP signaling determined the position of the mesoderm — the middle layer in early embryo development — while Wnt and NODAL signals upregulated mesoderm differentiation.

Interactions between the signaling pathways determined where the mesoderm ring started and stopped, they reported.

Rice University graduate student Sapna Chhabra led a study that challenged the application of a theory by British mathematician Alan Turing to cell signaling in embryos. A new paper by Chhabra and her colleagues shows that embryonic stem cells begin to self-organize when they sense interacting waves of molecular signals that help them differentiate into patterns. (Credit: Jeff Fitlow/Rice University)

Rice University graduate student Sapna Chhabra led a study that challenged the application of a theory by British mathematician Alan Turing to cell signaling in embryos. Photo by Jeff Fitlow

“We knew the important chemical signals but, until now, nobody has observed the activity of these signals in space and time,” said Chhabra, the paper’s lead author. “By focusing on the mesoderm, we showed that differentiation isn’t dependent on a particular level of any of the chemical signals the cells use.

“For now, we know that signaling starts at the colony edge and moves in, and that the position of red (stained mesoderm) cells correlates with where Wnt activity peaks,” she said. “There’s only a certain time period in which they can react.”

Warmflash said the time it takes for signals to get to the center of the colony keeps them from differentiating as mesoderm as well. “The signal is moving, continuously filling in the whole colony,” he said. “But depending on when it gets to particular cells, they either will or won’t respond. By the time the wave reaches them, cells at the center have already decided to become ectoderm.”

The researchers observed that the cells themselves migrate a little, but not nearly as fast as the fate-altering signals they pass along.

They also found that the cells at the perimeter of the colony were a good match for those known to become placental cells in the embryo, Warmflash said.

“There’s been quite a bit of controversy in the field over whether these cells represent placenta-like cells or not,” he said. “That’s because the decision to become a stem cell of the embryo itself or to become placenta should have happened before our whole model even starts.”

Aryeh Warmflash, left, and Sapna Chhabra led a Rice University team that discovered embryonic stem cells begin to self-organize when they sense interacting waves of molecular signals that help them start — and stop — differentiating into patterns. (Credit: Jeff Fitlow/Rice University)

Aryeh Warmflash, left, and Sapna Chhabra. Photo by Jeff Fitlow

Chhabra examined the genes that the perimeter cells express by RNA sequencing and compared them to recently published sequencing data on placental cells from early human embryos.

“That allowed us, in this paper, to make the first comparison between those two things,” Warmflash said. “The bottom line is these cells are as good a model for the human placenta as the stem cells are for the human embryo. It’s not perfect, but it’s a reasonably good model.”

Co-authors of the paper are Rice postdoctoral researcher Lizhong Liu, Rice graduate student Xiangyu Kong and Ryan Goh, an assistant professor of mathematics and statistics at Boston University.

Rice, the Cancer Prevention and Research Institute of Texas, the Simons Foundation and the National Science Foundation funded the research.

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Read the abstract at https://doi.org/10.1371/journal.pbio.3000498.

Follow Rice News and Media Relations via Twitter @RiceUNews.

Related materials:

Fed grant will help unlock embryonic secrets: http://news.rice.edu/2018/01/12/fed-grant-will-help-unlock-embryonic-secrets-2/

Embryos’ signaling proteins go with the flow: http://news.rice.edu/2019/02/28/embryos-signaling-proteins-go-with-the-flow-2/

Early development revealed in a dish: http://news.rice.edu/2019/10/17/embryos-early-development-revealed-in-a-dish-2/

Warmflash lab: https://stemcell.rice.edu

Department of Biosciences: https://biosciences.rice.edu

Wiess School of Natural Sciences: https://naturalsciences.rice.edu

Video:

A stem-cell gastrulation model by Rice University bioscientists shows bright cells affected by a wave of Wnt signals. The black stripe-like regions in between cells are membranes that have been computationally removed from the images. (Credit: Courtesy of the Warmflash lab)

https://youtu.be/jKgHgZaFdDI

CAPTION: A stem-cell gastrulation model by Rice University bioscientists shows bright cells affected by a wave of Wnt signals. The black stripe-like regions in between cells are membranes that have been computationally removed from the images. (Credit: Courtesy of the Warmflash lab)

Images for download:

A ring of red cells representing the mesoderm germ layer appear in a stem-cell gastrulation model developed by a Rice University lab. Embryonic stem cells begin to self-organize when they sense interacting waves of molecular signals that help them start and stop differentiating into patterns that ultimately guide cells toward becoming skin, bone, nerve, organs and blood. (Credit: Warmflash lab/Rice University)

https://news-network.rice.edu/news/files/2019/10/1028_STEM-1-WEB.jpg

A ring of red cells representing the mesoderm germ layer appear in a stem-cell gastrulation model developed by a Rice University lab. Embryonic stem cells begin to self-organize when they sense interacting waves of molecular signals that help them start and stop differentiating into patterns that ultimately guide cells toward becoming skin, bone, nerve, organs and blood. (Credit: Warmflash lab/Rice University)

Rice University graduate student Sapna Chhabra led a study that challenged the application of a theory by British mathematician Alan Turing to cell signaling in embryos. A new paper by Chhabra and her colleagues shows that embryonic stem cells begin to self-organize when they sense interacting waves of molecular signals that help them differentiate into patterns. (Credit: Jeff Fitlow/Rice University)

https://news-network.rice.edu/news/files/2019/10/1028_STEM-2-WEB.jpg

Rice University graduate student Sapna Chhabra led a study that challenged the application of a theory by British mathematician Alan Turing to cell signaling in embryos. A new paper by Chhabra and her colleagues shows that embryonic stem cells begin to self-organize when they sense interacting waves of molecular signals that help them differentiate into patterns. (Credit: Jeff Fitlow/Rice University)

Aryeh Warmflash, left, and Sapna Chhabra led a Rice University team that discovered embryonic stem cells begin to self-organize when they sense interacting waves of molecular signals that help them start — and stop — differentiating into patterns. (Credit: Jeff Fitlow/Rice University)

https://news-network.rice.edu/news/files/2019/10/1028_STEM-3-WEB.jpg

Aryeh Warmflash, left, and Sapna Chhabra led a Rice University team that discovered embryonic stem cells begin to self-organize when they sense interacting waves of molecular signals that help them start — and stop — differentiating into patterns. (Credit: Jeff Fitlow/Rice University)

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About Mike Williams

Mike Williams is a senior media relations specialist in Rice University's Office of Public Affairs.