Biology subjects

Garza Lopez, E.

Publications and source records attributed to Garza Lopez, E..

7 recordsLinked to original sources

bioRxiv2021

An effective workshop on How to be an Effective Mentor for Underrepresented STEM Trainees

Despite an increase in programming to promote persons excluded by their ethnicity or race (PEER) scholars, minorities remain underrepresented in many STEM programs. The academic pipeline is largely leaky for underrepresented minority (URM) scholars due to a lack of effective mentorship. Many URM students experience microaggressions and discrimination from their mentors due to a lack of quality mentorship training. In this workshop, we provide a framework for how to be an effective mentor to URM trainees. Mentees, especially URM trainees, can flourish in effective mentoring environments where they feel welcomed and can comfortably develop new ideas without feeling threatened by external factors. Effective mentoring environments provide motivational support, empathy, cultural competency, and training.

scientific communication and education↗

bioRxiv2021

The Importance of Mentors and How to Handle More Than One Mentor

IntroductionWorking with multiple mentors is a critical way for students to expand their network, gain opportunities, and better prepare for future scholastic or professional ventures. However, students from underrepresented groups (UR) are less likely to be mentored or have access to mentors, particularly in science, technology, engineering, and mathematics (STEM) fields. We developed and implemented a workshop, to provide the necessary foundation for students to be better prepared for establishing future mentorships throughout graduate and professional school. MethodsFaculty well-versed in the area of effective mentorship from multiple universities developed and delivered a 1.5-hour workshop to address the roles of a mentor, especially when it comes to UR students, and how students may effectively work with multiple mentors. This workshop was delivered to a group of students from the HBCU Winston Salem State University, and a pre/post-Likert scale-based survey was administered. ResultsWe analyzed the raw data with nonparametric tests for comparison within paired samples. Wilcoxon matched-pairs and signed-rank tests showed statistically significant growth in student self-ratings related to the workshop learning objectives. ConclusionsThe "How to Handle More than One Mentor to Achieve Excellence" workshop was well received as a component of pre-graduate and pre-professional training. Incorporating workshops like this may increase student preparedness around developing and cultivating healthy mentorship relationships throughout STEM training. EDUCATIONAL OBJECTIVESBy the end of this workshop, learners will be able to: O_LIDescribe the role of mentors in developing the next generation of trainees. C_LIO_LIDescribe current research on mentorship among underrepresented populations. C_LIO_LIApply skills on effective communication needed in the development of successful mentorship relationships. C_LIO_LIWork with multiple mentors at one time while maintaining solid professional and personal relationships. C_LI

scientific communication and education↗

bioRxiv2021

Combining metabolomics and experimental evolution reveals key mechanisms underlying longevity differences in laboratory evolved Drosophila melanogaster populations

Experimental evolution with Drosophila melanogaster has been used extensively for decades to study aging and longevity. In recent years, the addition of DNA and RNA sequencing to this framework has allowed researchers to leverage the statistical power inherent to experimental evolution study the genetic basis of longevity itself. Here we incorporated metabolomic data into to this framework to generate even deeper insights into the physiological and genetic mechanisms underlying longevity differences in three groups of experimentally evolved D. melanogaster populations with different aging and longevity patterns. Our metabolomic analysis found that aging alters mitochondrial metabolism through increased consumption of NAD+ and increased usage of the TCA cycle. Combining our genomic and metabolomic data produced a list of biologically relevant candidate genes. Among these candidates, we found significant enrichment for genes and pathways associated with neurological development and function, and carbohydrate metabolism. While we do not explicitly find enrichment for aging canonical genes, neurological dysregulation and carbohydrate metabolism are both known to be associated with accelerated aging and reduced longevity. Taken together, our results provide plausible genetic mechanisms for what might be driving longevity differences in this experimental system. More broadly, our findings demonstrate the value of combining multiple types of omic data with experimental evolution when attempting to dissect mechanisms underlying complex and highly polygenic traits like aging.

evolutionary biology↗

bioRxiv2021

Practices for Measuring 3D Organelle Morphology and Generating Surfaces with Amira

Analysis of 3D structures is of paramount importance in cellular biology. Although light microscopy and transmission electron microscopy (TEM) have remained staples for imaging cellular structures, they lack the ability to image in 3D. However, recent technological advances, such as serial block-face scanning electron microscopy (SBF-SEM) and focused ion beam scanning electron microscopy (FIB-SEM), have allowed researchers to observe cellular ultrastructure in 3D. Here, we propose a standardized protocol using the visualization software Amira to quantify organelle morphologies in 3D; this method allows researchers to produce accurate and reproducible measurements of cellular structure characteristics. We demonstrate this applicability by utilizing SBF-SEM and Amira to quantify mitochondria and endoplasmic reticulum (ER) structures. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=127 SRC="FIGDIR/small/461807v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@1c40041org.highwire.dtl.DTLVardef@ecde92org.highwire.dtl.DTLVardef@10870daorg.highwire.dtl.DTLVardef@1290c3b_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2021

Systematic Transmission Electron Microscopy-Based Identification of Cellular Degradation Machinery

Many interconnected degradation machineries including autophagosomes, lysosomes, and endosomes work in tandem to conduct autophagy, an intracellular degradation system that is crucial for cellular homeostasis. Altered autophagy contributes to the pathophysiology of various diseases, including cancers and metabolic diseases. Although many studies have investigated autophagy to elucidate disease pathogenesis, identification of specific components of the autophagy machinery has been challenging. The goal of this paper is to describe an approach to reproducibly identify and distinguish subcellular structures involved in macro autophagy. We provide methods that help avoid common pitfalls, including a detailed explanation for distinguishing lysosomes and lipid droplets and discuss differences between autophagosomes and inclusion bodies. These methods are based on using transmission electron microscopy (TEM), capable of generating nanometer-scale micrographs of cellular degradation components in a fixed sample. We also utilize serial block face-scanning electron microscopy (SBF-SEM) to offer a protocol for visualizing 3D morphology of degradation machinery. In addition to TEM and 3D reconstruction, we discuss other imaging techniques, such as immunofluorescence and immunogold labeling that can be utilized to reliably and accurately classify cellular organelles. Our results show how these methods may be used to accurately quantify the cellular degradation machinery under various conditions, such as treatment with the endoplasmic reticulum stressor thapsigargin or ablation of the dynamin-related protein 1.

biophysics↗

bioRxiv2021

A comprehensive approach for artifact-free sample preparation and assessment of mitochondrial morphology in tissue and cultured cells

Mitochondrial dynamics (fission, fusion, and the formation of nanotunnels) and morphology are very sensitive to the cellular environment. Mitochondria may be adversely affected by oxidative stress, changes in calcium levels, and hypoxia. Investigating the precise relationship between organelle structure and function requires methods that can adequately preserve mitochondria while providing accurate, quantitative measurements of morphological attributes. Here, we demonstrate a practical approach for preserving and measuring fine structural changes using two-dimensional, high-resolution electron micrographs. This approach is further applicable for three-dimensional volume renderings, obtained using serial block-face and focused ion beam-scanning electron microscopy, highlighting the specific advantages of these techniques. Additionally, this study defines a set of quantifiable metrics that can be applied to measure mitochondrial architecture and other organellar structures. Finally, we validated specimen preparation methods that avoid the introduction of morphological artifacts that may interfere with mitochondrial appearance and do not require whole-animal perfusion.

cell biology↗

bioRxiv2021

A Universal Approach to Analyzing Transmission Electron Microscopy with ImageJ

2Transmission electron microscopy (TEM) is a scientific research standard for producing nanometer-resolution ultrastructural images of subcellular components within cells and tissues. Mitochondria, endoplasmic reticulum (ER), lysosomes, and autophagosomes are organelles of particular interest to those investigating metabolic disorders. However, there is no clear consensus amongst regarding the best methods for quantifying the features of organelles in TEM images. In this protocol, we propose a standardized approach to accurately measure the morphology of these important subcellular structures using the free program ImageJ, developed by the National Institutes of Health (NIH). Specifically, we detail procedures for obtaining mitochondrial length, width, area, and circularity, in addition to assessing cristae morphology. We further provide methods for measuring interactions between the mitochondria and ER and measuring the length and width of lysosomes and autophagosomes. This standardized method can be used to quantify key features of organelle morphology, allowing investigators to produce accurate and reproducible measurements of organelle structures in their experimental samples. 1 SUMMARYWe discuss a standardized method for measuring and quantifying organelle features using transmission electron microscopy and accessing for interactions between subcellular structures; organelles of focus include mitochondria, endoplasmic reticulum, lysosomes, and autophagosomes.

biophysics↗