Caption: Sir John Sulston (left) and Stephen Hawking (right) Credit: Jane Gitschier, PLoS; Paul Alers, NASA
Over the past couple of weeks, we’ve lost two legendary scientists who made major contributions to our world: Sir John Sulston and Stephen Hawking. Although they worked in very different areas of science—biology and physics—both have left us with an enduring legacy through their brilliant work that unlocked fundamental mysteries of life and the universe.
I had the privilege of working closely with John as part of the international Human Genome Project (HGP), a historic endeavor that successfully produced the first reference sequence of the human genetic blueprint nearly 15 years ago, in April 2003. As founding director of the Sanger Centre (now the Sanger Institute) in Cambridge, England, John oversaw the British contributions to this publicly funded effort. Throughout our many planning meetings and sometimes stormy weekly conference calls about progress of this intense and all-consuming enterprise, John stood out for his keen intellect and high ethical standards. Continue reading →
Caption: MEMOIR cells variably activated (cyan). The recorded information is then read out to visualize certain RNA transcripts (red). Credit: Elowitz and Cai Labs/Caltech
One of the most fascinating challenges in biology is understanding how a single cell divides and differentiates to form a complex, multicellular organism. Scientists can learn a lot about this process by tracking time-lapse images through a microscope. But gazing through a lens has its limitations, especially in the brain and other opaque and inaccessible tissues and organs.
With support from a 2017 NIH Director’s Transformative Research Program, a California Institute of Technology (Caltech) team now has a way around this problem. Rather than watching or digging information out of cells, the team has learned how to program cells to write their own molecular memoirs. These cells store the information right in their own genomic hard drives. Even better, that information is barcoded, allowing researchers to read it out of the cells without dissecting tissue. The programming can be performed in many different cell types, including stem or adult cells in tissues throughout the body.
Caption: A 6,000-person family tree, showing individuals spanning seven generations (green) and their marital links (red). Credit: Columbia University, New York City
You may have worked on constructing your family tree, perhaps listing your ancestry back to your great-grandparents. Or with so many public records now available online, you may have even uncovered enough information to discover some unexpected long-lost relatives. Or maybe you’ve even submitted a DNA sample to one of the commercial sources to see what you could learn about your ancestry. But just how big can a family tree grow using today’s genealogical tools?
A recent paper offers a truly eye-opening answer. With permission to download the publicly available, online profiles of 86 million genealogy hobbyists, most of European descent, the researchers assembled more than 5 million family trees. The largest totaled more than 13 million people! By merging each tree from the crowd-sourced and public data, including the relatively modest 6,000-person seedling shown above, the researchers were able to go back 11 generations on average to the 15th century and the days of Christopher Columbus. Doubly exciting, these large datasets offer a powerful new resource to study human health, having already provided some novel insights into our family structures, genes, and longevity.
Credit: Nadia Roan, University of California, San Francisco
Researchers have learned a tremendous amount about how the human immunodeficiency virus (HIV), which causes AIDS, infects immune cells. Much of that information comes from studying immune cells in the bloodstream of HIV-positive people. Less detailed is the picture of how HIV interacts with immune cells inside the lymph nodes, where the virus can hide.
In this image of lymph tissue taken from the neck of a person with uncontrolled HIV infection, you can see areas where HIV is replicating (red) amid a sea of immune cells (blue dots). Areas of greatest HIV replication are associated with a high density of a subtype of human CD4 T-cells (yellow circles) that have been found to be especially susceptible to HIV infection.
Each year, more than 15,000 American children and teenagers will be diagnosed with cancer. While great progress has been made in treating many types of childhood cancer, it remains the leading cause of disease-related death among kids who make it past infancy in the United States . One reason for that sobering reality is our relatively limited knowledge about the precise biological mechanisms responsible for childhood cancers—information vital for designing targeted therapies to fight the disease in all its varied forms.
Now, two complementary studies have brought into clearer focus the genomic landscapes of many types of childhood cancer [2, 3]. The studies, which analyzed DNA data representing tumor and normal tissue from more than 2,600 young people with cancer, uncovered thousands of genomic alterations in about 200 different genes that appear to drive childhood cancers. These so-called “driver genes” included many that were different than those found in similar studies of adult cancers, as well as a considerable number of mutations that appear amenable to targeting with precision therapies already available or under development.