Visualizing Human Biology is a visual exploration of the major concepts of biology using the human body as the context. Students are engaged in scientific exploration and critical thinking in this product specially designed for non-science majors. Topics covered include an overview of human anatomy and physiology, nutrition, immunity and disease, cancer biology, and genetics. The aim of Visualizing Human Biology is a greater understanding, appreciation and working knowledge of biology as well as an enhanced ability to make healthy choices and informed healthcare decisions.
Download File ››››› https://8budimonsi.blogspot.com/?tgs=2zUl9S
Kathleen A. Ireland obtained her B.S. from the University of Alabama while gaining experience working both for a major pharmaceutical company and for a Marine Sciences Foundation in Florida. She continued her education at the University of Alabama, earning an M.S. in Marine Sciences in 1981. After a few years working for an agricultural genetics corporation and giving birth to two sons, Kathleen returned to school, earning a Ph.D. from Iowa State University while teaching their Human Biology course. She later moved to Maui where she currently resides while teaching human biology for the University of Hawaii, Maui Community College. Kathleen is a member of a number of academic organizations, including the AACE, where she serves on their editorial board. She has been a contributing author on both anatomy and anatomy and physiology premedical textbooks and several grants including a multi-year HAIS / HCF grant to enhance the school-wide teaching of 21st-century skills.
- Mind Map Activities: These activities at the end of each course section are designed to engage students in critical thinking about the concepts and key terminology covered in the section and help students explore the relationships between them.
- New Course Section on Human Microbiomes: A new section covers general characteristics of human microbiomes, the communication methods of the microbiome constituent bacteria, their contributions to homeostasis, and the physiological processes affected by the microbiome communities.
- Key Processes: Key processes are highlighted throughout the course and help students organize their learning. The five processes that are key to most of the physiology presented in this course are: osmosis and diffusion energy storage and transfer, DNA, protein structure and function, and cellular structure and function.
- Interactive Process Diagrams: Interactive process diagrams provide additional visual examples as well as descriptive narratives of the diagrams that appear throughout the course. Interactive process diagrams allow students to build the process interactively to be sure they fully understand the process.
- Built in Study Guides: Study guides teach students how to read visuals more effectively along with better study habits. Each course section starts with a guided tour which includes a section outline and section planner. Concept check questions at the end of all sections cover the learning objectives.
Visualizing Human Biology is a visual exploration of the major concepts of biology using the human body as the context. Students are engaged in scientific exploration and critical thinking in this product specially designed for non-science majors. Topics covered include an overview of human anatomy and physiology, nutrition, immunity and disease, cancer biology, and genetics. The aim of Visualizing Human Biology is a greater understanding, appreciation and working knowledge of biology as well as an enhanced ability to make healthy choices and informed healthcare decisions.
The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.
Recent developments in large format electron microscopy have enabled generation of images that provide detailed ultrastructural information on normal and diseased cells and tissues. Analyses of these images increase our understanding of cellular organization and interactions and disease-related changes therein. In this manuscript, we describe a workflow for two-dimensional (2D) and three-dimensional (3D) imaging, including both optical and scanning electron microscopy (SEM) methods, that allow pathologists and cancer biology researchers to identify areas of interest from human cancer biopsies. The protocols and mounting strategies described in this workflow are compatible with 2D large format EM mapping, 3D focused ion beam-SEM and serial block face-SEM. The flexibility to use diverse imaging technologies available at most academic institutions makes this workflow useful and applicable for most life science samples. Volumetric analysis of the biopsies studied here revealed morphological, organizational and ultrastructural aspects of the tumor cells and surrounding environment that cannot be revealed by conventional 2D EM imaging. Our results indicate that although 2D EM is still an important tool in many areas of diagnostic pathology, 3D images of ultrastructural relationships between both normal and cancerous cells, in combination with their extracellular matrix, enables cancer researchers and pathologists to better understand the progression of the disease and identify potential therapeutic targets.
Due to the complexity of data involved, understanding and visualizing patterns of human genetic variation is often challenging. One helpful place to start is to visualize the global frequencies of variants at individual sites within the genome to see how variation is shared - check out the Geography of Genetic Variants Browser from the Novembre Lab for a nice interactive tool (Marcus & Novembre, 2016). However, because the human genome contains approximately 3 billion sites, it would take a few lifetimes to walk through the genome in this manner, so researchers often turn to genome-wide summary statistics to capture patterns of genetic variation.
There are seven different samples from the Americas in the 1000 Genomes Project dataset (as described in Biddanda et al.), each sample being made up of 60-105 people, and we counted the number of common variants found in each sample.2
The levels of genetic diversity, shown as differences in the number of common variants, vary between samples: African Caribbean in Barbados (ACB) and African Ancestry in Southwest US (ASW) display the highest levels of variation. Similar to Figure 1 from Donovan et al. (2019), we implement an Euler diagram to visualize the amount of overlap in common genetic variation between samples (Figure 3). This style of visualization is like a Venn diagram, with the added property that the areas and overlaps of the shapes are proportional to the number of common variants in the corresponding samples.
This method of filtering results in a Euler diagram where the ellipse of the highlighted sample completely encircles the other ellipses. A sample with greater numbers of common variants that are not common in other samples will show a larger disparity in size compared with the other ellipses. As before, these figures illustrate the high degree of sharing of variation among samples in the Americas. The African Caribbean in Barbados (ACB) and African Ancestry in Southwest US (ASW) samples contain the most genetic diversity, with some of this variation being shared only between those two samples. In comparison, there is somewhat less common variation (small diagram size) in the other samples and nearly all of it is shared.
Genetic diversity in the Americas reflects the history of colonialism and the transatlantic slave trade, which has moved people from across the globe into the region over the past few hundred years. Given this, you may wonder whether the high degree of overlap reflects this recent history of the Americas or whether it is representative of sharing that is present in geographically distant samples. To look into this question, we created a Euler diagram with five samples, one from each of the broad geographic groupings used by Biddanda et al.
Overall, this diagram has a very similar structure to the diagram created with the samples from the Americas. There is a high degree of overlap between all of the samples, with the higher genetic diversity of the Yoruba in Ibadan, Nigeria sample resulting in a larger ellipse that stretches outside of the cluster of other ellipses. This pattern matches the one of high diversity in the African Caribbean and African American (ACB and ASW) samples from the Americas described above. Even when considering quite geographically distant samples of humans, the dominant pattern is that of shared genetic variation.
The package also breaks down error by set overlap to better understand exactly which sections are over-/underrepresented by the visualization, though that is not included here. With all of that being said, these diagrams offer a unique visualization method that can be particularly useful for more qualitative interpretations of the population relationships. We converted the output of eulerr into a JSON format and passed this to JavaScript for plotting using D3.js. Plotting is possible directly from R, but we used D3.js for its customizability and support of interactive figures. All of the figures (alongside the code we used to generate them) can be found here.
Donovan et al. (2019) Toward a more humane genetics education: Learning about the social and quantitative complexities of human genetic variation research could reduce racial bias in adolescent and adult populations. Science Education, Volume 103, Issue 3
"Each of our cells -- the fundamental units of life -- are like a city, with people and resources that move around and factories that generate those resources and carry out important functions," says Rick Horwitz, Ph.D., Executive Director of the Allen Institute for Cell Science. "With these cell lines, we aim to give the cell science community a kind of live traffic map to see when and where the parts of the cell are with the clarity and consistency they need to make progress toward understanding human health and tackling disease.
93ddb68554