Brain Health and Awareness; How your mind can fool you.

UT Southwestern scientist trainees from the Science Policy, Education and Communication (SPEaC) Club presented several demos about the Brain at Bachman Lake Library on January 12, 2019. There was several exciting exciting demonstrations: how neurons signal, where you could model some of the different types of neurons; what the brain looks like, where you could use clay to model brains from different species; and a real brain for participants to see and hold. We connected with local families and got to share some of the intricacies of our mind. The demos were for all ages and there was lots of enthusiasm from young children all the way to their grandparents.

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Bioprinting: Phenomenon or Potential?

Author: Joshuah Gagan

I don’t think I am the first person to be astonished by 3D printing. Then again, I’m not sure if I am the second person to be astonished by 3D bioprinting, a phenomenon that has been consistently evolving in the past decade. The launch of such a huge biomedical advance has put scientists on a course to change the future, where every biomedical lab will have a bioprinter ready to disperse samples of cells, tissues, and one day organs. But a phenomenon can only last so long until it loses interest. By that I mean when, relatively, will we start inventing the next revolution in technology? As of today, the furthest advancement in bioprinting was the full-scale print of an artificial kidney, an almost-perfect structure with vascularity and function. But that was 2011. We’re close to 2019, and nothing has happened so far. So what will?

I’d like to think a ‘hype’, or as it is traditionally called a fad, can last as long as the audience can be engaged before it becomes a dud. But such a scientific field shouldn’t be necessarily a phenomenon, especially in our biomedical community. Yet, it’s treated as one. There aren’t many scientists utilizing the advances behind bioprinting as most underestimate it’s potential. Most labs even consider bioprinters as a paperweight, collecting dust in a corner. The possible reason: today, there is no use for bioprinting, as a majority of its industry has no real understanding of the field itself.

For what it is, it’s a great field to enter into. Besides it’s wow factor, bioprinting accelerates the scaffolding process for tissue engineers, increases accuracy, and rapidly develops structures in less time than it would by hand. This is a critical achievement, as tissue replacement and organ production can save millions of lives on the organ donor list. There are even multiple articles that reference advancements and treatments on bioprinting. Some examples include in situ wound healing/skin regeneration for burn victims, revitalized tissue replacements for sensitive tissue areas including the heart and lungs, and in some cases, regenerated full organs including ears, noses, and hearts (though pending).1

Ergo it begs the question of what barriers prevent technologies like these from coming into healthcare. And the answer is overestimation. Several companies in the mid-2010s came out to claim bioprinting is capable of reproducing organs through their novel printers. Companies, such as BioBots, Organovo, and RegenMAT have all at some point claimed to conceive an organ in production. However, it was stated as more of an accessory to their long-term business plan, though advertised differently in media and conferences. Truth is, only one doctor has actually printing an organ, and that same doctor admits that there are many steps to take before producing organs on a larger scales. Bioprinting is not just by clicking a button and the organ comes to life.” this is actually a new technology we’re working on now. In reality, we now have a long history of doing this.”2 There are multiple biomolecules and several other interactions that occur in the biomaterials that require investigation before pursuing these innovations.

He’s not wrong. In fact, bioprinting is summed up as printing out biomaterials with cells injected, in hopes of producing tissue. Overall, there are just a few more ink reservoirs with their own extruders, each containing growth factors or cells. The real question is: how do we organize all of the components to create artificial tissues or organs? And that is really the science behind it. It’s highly improbable to print out all of the materials in hopes of producing something organic. But what we can work on is understanding why and how these artificial tissues work to an advantage in bioprinting tissues. That is where it’s true potential lies.

Although vascularization is one thing, there are many more aspects of bioprinting to be researched. In the past few years, a couple of different advancements have come about to revitalize the field. Rather than try to resurrect it as a phenomenon, scientists are changing the community’s perspective into reality. Most focus has been on vascularization, a subfield in bioprinting has not yet been well developed. Carnegie Mellon is pushing boundaries by influencing new techniques into vascularization, such as FRESH printing. This allows the printer to dispense material into a gelatinous structure and keeps the mechanical integrity of the printed structure. It not only keeps it stable but also controls the rate of flow and prevents error in prints. The idea was conceived in 2015 and some articles have attracted keen scientists to the subfield. If there is enough evidence to support it, it can definitely accel the process of transplanting organs entirely.

But it’s promise and potential are enough to encourage scientists to give their support and reinvigorate bioprinting. Perhaps today from now, one will witness the potential behind artificial tissues as they are implanted into someone’s heart. Today from now, no one will have to be impatient to await tissue implants and skip the line. Today from now, we’ll see bioprinting at its pinnacle instead of imaging what good it can bring.

(The question is: what do you think the world will look like when you know you can print an organ?)

References

1. Nature, 2015, https://www.nature.com/news/the-printed-organs-coming-to-a-body-near-you-1.17320

  1. TED, 2011, https://www.ted.com/talks/anthony_atala_printing_a_human_kidney/transcript
  2. Science Advances, 2015, http://advances.sciencemag.org/content/1/9/e1500758.full

TCGA and Working in Big Science: A Medical Student’s Former Journey In Cancer Genomics

Author: Galen Gao

Two months ago, I had the opportunity to attend and present two posters at the TCGA Legacy Symposium in Washington, DC. As a sort of final capstone and celebration of The Cancer Genome Atlas (TCGA) and the associated Pan-Cancer Atlas, it was an exciting opportunity for me both to showcase my own work and to see what other scientists from across the world have been working on in the realm of cancer genomics. Spanning topics from genomic ancestries’ contributions to cancer risks, to improved identification of outliers in high-dimensional gene expression data, the quantity and diversity of projects presented at the symposium served as an excellent testament to the resources that TCGA was able to provide the scientific community.

Launched in December 2005, The Cancer Genome Atlas was a massive undertaking by the NCI and the NHGRI to comprehensively characterize a wide range of malignancies. Blossoming from a small pilot program of 206 glioblastoma patients, it grew to profile over 11,000 cancer patients representing 33 different cancer types through a diverse array of platforms encompassing SNP microarrays, methylation arrays, whole exome sequencing, and several more. Together, the information currently totals an impressive  2.5 petabytes of data. To summarize the findings of this extensive dataset, the Pan-Cancer Atlas was then launched as a collection of analyses across these multiple cancer types that explore broad themes of oncogenic processes, signaling pathways, and cell-of-origin patterns in these cancers. This September’s TCGA Legacy Symposium and the preceding publication of 30 PanCanAtlas papers in April 2018 have been fitting capstones of these endeavors and effective demonstrations of how applying large scale bioinformatic efforts to over 10,000 tumors can help uncover novel insights into tumor biology.

As a member of the Cancer Genome Atlas Research Network that spearheaded TCGA and the Pan-Cancer Atlas, I had the exciting opportunity at the symposium to finally meet many of my colleagues in person for the first time. It was wonderful to associate some faces to the countless voices I had listened to and worked with via telephone calls over the past 2 years before joining UT Southwestern. For me, working with TCGA was an eye-opening experience into the world of modern cancer genomics and its gradual evolution over the past decade. While I had taken classes in general biology and data analysis and statistics as an undergrad, I had no formal background in cancer genomics, and I remember spending much of my first few days of working on the Pan-Cancer Atlas wondering when my group would finally realize that they had made a huge mistake hiring a confused kid who had somehow stumbled his way through college and into the world of modern cancer research. Nevertheless, for two years, I had the privilege of working with and—very importantly—learning from many other researchers from across the nation and even the world, as we collectively tried to understand and characterize these cancers together.

As I left the hotel for the airport on the morning after the symposium had ended, I was able to reflect on my whirlwind 2-year introduction to cancer genomics and the role it had played in my scientific development. Although, with the symposium, TCGA has now officially drawn to a close, and my own daily worries have shifted from finding molecular associations in cancer to memorizing cranial nerves in medical school, the legacy of TCGA and the lessons I learned from my time there will carry on. Heralded as the “End of the Beginning” of cancer genomics, TCGA now serves as a template for “big” and “open” science, operating at a scale that far exceeded the capabilities of any single institution on its own to undertake at the time and making all of its data freely available to the general public for further mining and analysis through the Genomic Data Commons. Further, TCGA’s discoveries undoubtedly will affect my future in the clinic too. Already, starting with the earliest findings from the glioblastoma pilot project, discoveries announced in TCGA publications are beginning to redefine traditional, histological classifications of tumors in terms of molecular markers instead. While I had not planned for a 2-year hiatus between undergraduate and medical school, I can definitely say that I am more than happy to have both learned from, and played a small role in the story of TCGA. With the close of the TCGA Legacy Symposium, an entire decade’s worth of work can now help springboard the next chapter of both my career and that of many others in the scientific and medical community who have helped guide and inspire me. Here’s to the next decade of cancer genomics.