Pub Date : 2023-10-01DOI: 10.1089/genbio.2023.0019
Sang Ho Kwon, Sowmya Parthiban, Madhavi Tippani, Heena R. Divecha, Nicholas J. Eagles, Jashandeep S. Lobana, Stephen R. Williams, Michelle Mak, Rahul A. Bharadwaj, Joel E. Kleinman, Thomas M. Hyde, Stephanie C. Page, Stephanie C. Hicks, Keri Martinowich, Kristen R. Maynard, Leonardo Collado-Torres
Neuropathological lesions in the brains of individuals affected with neurodegenerative disorders are hypothesized to trigger molecular and cellular processes that disturb the homeostasis of local microenvironments. Here, we applied the 10x Genomics Visium Spatial Proteogenomics (Visium-SPG) platform, which couples spatial gene expression with immunofluorescence (IF) protein co-detection, to evaluate its ability to quantify changes in spatial gene expression with respect to amyloid-beta (Aβ) and hyperphosphorylated tau (pTau) pathology in post-mortem human brain tissue from individuals with Alzheimer's disease (AD). We identified transcriptomic signatures associated with proximity to Aβ in the human inferior temporal cortex during late-stage AD, which we further investigated at cellular resolution with combined IF and single-molecule fluorescent in situ hybridization (smFISH). The study provides a data analysis workflow for Visium-SPG, and the data represent a proof-of-principle for the power of multi-omic profiling in identifying changes in molecular dynamics that are spatially associated with pathology in the human brain. We provide the scientific community with web-based, interactive resources to access the datasets of the spatially resolved AD-related transcriptomes.
{"title":"Influence of Alzheimer's Disease Related Neuropathology on Local Microenvironment Gene Expression in the Human Inferior Temporal Cortex","authors":"Sang Ho Kwon, Sowmya Parthiban, Madhavi Tippani, Heena R. Divecha, Nicholas J. Eagles, Jashandeep S. Lobana, Stephen R. Williams, Michelle Mak, Rahul A. Bharadwaj, Joel E. Kleinman, Thomas M. Hyde, Stephanie C. Page, Stephanie C. Hicks, Keri Martinowich, Kristen R. Maynard, Leonardo Collado-Torres","doi":"10.1089/genbio.2023.0019","DOIUrl":"https://doi.org/10.1089/genbio.2023.0019","url":null,"abstract":"Neuropathological lesions in the brains of individuals affected with neurodegenerative disorders are hypothesized to trigger molecular and cellular processes that disturb the homeostasis of local microenvironments. Here, we applied the 10x Genomics Visium Spatial Proteogenomics (Visium-SPG) platform, which couples spatial gene expression with immunofluorescence (IF) protein co-detection, to evaluate its ability to quantify changes in spatial gene expression with respect to amyloid-beta (Aβ) and hyperphosphorylated tau (pTau) pathology in post-mortem human brain tissue from individuals with Alzheimer's disease (AD). We identified transcriptomic signatures associated with proximity to Aβ in the human inferior temporal cortex during late-stage AD, which we further investigated at cellular resolution with combined IF and single-molecule fluorescent in situ hybridization (smFISH). The study provides a data analysis workflow for Visium-SPG, and the data represent a proof-of-principle for the power of multi-omic profiling in identifying changes in molecular dynamics that are spatially associated with pathology in the human brain. We provide the scientific community with web-based, interactive resources to access the datasets of the spatially resolved AD-related transcriptomes.","PeriodicalId":73134,"journal":{"name":"GEN biotechnology","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135809897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1089/genbio.2023.0039
Nicholas Zhang, Denis Ohlstrom, Sicheng Pang, Nivik Sanjay Bharadwaj, Aaron Qu, Hans Grossniklaus, Ahmet F. Coskun
Recently, organoids, or three-dimensional (3D) cellular assemblies, have demonstrated promise as viable models for organ development and disease study. In contrast to challenging preclinical models, organoids are advantageous due to rapid fabrication times and greater patient specificity. The advent of spatial transcriptomics and single cell technologies has also enhanced the characterization of intraorganoid heterogeneity, thus highlighting 3D cell signaling and organ development at micro scales. In this study, we describe ongoing and future directions in spatial omics integrated with various imaging technologies for two-dimensional/3D organoid characterization. Utilizing both retinal organoids and native retinal tissues, we undertook an analysis to deconstruct the cellular compositions and structural attributes of their respective cell layers. Our findings indicate that the spatial organization of cell phenotypes is similar between organoids and native retinal tissue. However, it is noteworthy that native retinal tissue possesses thinner yet distinctly separated cell layers compared with the organoids.
{"title":"Tissue Spatial Omics Dissects Organoid Biomimicry","authors":"Nicholas Zhang, Denis Ohlstrom, Sicheng Pang, Nivik Sanjay Bharadwaj, Aaron Qu, Hans Grossniklaus, Ahmet F. Coskun","doi":"10.1089/genbio.2023.0039","DOIUrl":"https://doi.org/10.1089/genbio.2023.0039","url":null,"abstract":"Recently, organoids, or three-dimensional (3D) cellular assemblies, have demonstrated promise as viable models for organ development and disease study. In contrast to challenging preclinical models, organoids are advantageous due to rapid fabrication times and greater patient specificity. The advent of spatial transcriptomics and single cell technologies has also enhanced the characterization of intraorganoid heterogeneity, thus highlighting 3D cell signaling and organ development at micro scales. In this study, we describe ongoing and future directions in spatial omics integrated with various imaging technologies for two-dimensional/3D organoid characterization. Utilizing both retinal organoids and native retinal tissues, we undertook an analysis to deconstruct the cellular compositions and structural attributes of their respective cell layers. Our findings indicate that the spatial organization of cell phenotypes is similar between organoids and native retinal tissue. However, it is noteworthy that native retinal tissue possesses thinner yet distinctly separated cell layers compared with the organoids.","PeriodicalId":73134,"journal":{"name":"GEN biotechnology","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135810501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1089/genbio.2023.29117.editorial
Rong Fan, Fay Lin
GEN BiotechnologyVol. 2, No. 5 Guest Editorial: Spatial OmicsFree AccessSpatial DeliveryRong Fan and Fay LinRong Fan*Address correspondence to: Rong Fan E-mail Address: [email protected]Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.Guest Editor, GEN Biotechnology.Search for more papers by this author and Fay Lin*Address correspondence to: Fay Lin E-mail Address: [email protected]Senior Editor, GEN Biotechnology.Search for more papers by this authorPublished Online:16 Oct 2023https://doi.org/10.1089/genbio.2023.29117.editorialAboutSectionsPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail Spatial omics enables the profiling of a variety of biomolecules with high spatial resolution across the central dogma of molecular biology directly in the natural tissue context. It has emerged as a powerful tool to analyze clinical samples for human biology research, therapeutic discovery, and translational medicine. As one of the fastest growing areas in the biotech industry, spatial omics is poised to drive the next biology revolution with broad impact across life science and medicine.In this debut special issue of GEN Biotechnology, we are delighted to feature a collection of spatial omics perspectives, reviews, and original research articles capturing the breadth of the field from cancer research to the newest advances in imaging methods.Lift OffThe historical roots of visualizing biological function date back 300 years with the invention of the compound microscope by Robert Hooke. Individual cells were seen for the first time in a plant leaf, and researchers could already visualize highly heterogeneous cell morphology implicated in distinct functions in various tissue regions. While the modern era of molecular and cell biology associates morphological heterogeneity with differential gene expression, it was the rise of single-cell genomewide gene expression measured by next-generation sequencing (NGS) platforms that allowed for detailed quantification of cellular heterogeneity in gene expression. Further breakthroughs in massively parallel single-cell sequencing via cellular barcoding enabled the gene expression profiling of thousands of single cells, thereby dissecting cell types and states in large cell populations. But despite these major breakthroughs in single-cell omics, analyzing cellular heterogeneity in the tissue context remained a challenge.Over the past decade, we have witnessed the exponential growth of an emerging field—spatial omics. The goal is to map genomewide biomolecular information pixel-by-pixel in undissociated tissue to yield a holistic view of cell type, state, and function in the native tissue context. Broadly speaking, there are two avenues to achieve this goal—one based on imaging, and the other based on NGS.Imaging-based spatial omicsAlthough single-molecule imaging and fluorescence
{"title":"Spatial Delivery","authors":"Rong Fan, Fay Lin","doi":"10.1089/genbio.2023.29117.editorial","DOIUrl":"https://doi.org/10.1089/genbio.2023.29117.editorial","url":null,"abstract":"GEN BiotechnologyVol. 2, No. 5 Guest Editorial: Spatial OmicsFree AccessSpatial DeliveryRong Fan and Fay LinRong Fan*Address correspondence to: Rong Fan E-mail Address: [email protected]Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.Guest Editor, GEN Biotechnology.Search for more papers by this author and Fay Lin*Address correspondence to: Fay Lin E-mail Address: [email protected]Senior Editor, GEN Biotechnology.Search for more papers by this authorPublished Online:16 Oct 2023https://doi.org/10.1089/genbio.2023.29117.editorialAboutSectionsPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail Spatial omics enables the profiling of a variety of biomolecules with high spatial resolution across the central dogma of molecular biology directly in the natural tissue context. It has emerged as a powerful tool to analyze clinical samples for human biology research, therapeutic discovery, and translational medicine. As one of the fastest growing areas in the biotech industry, spatial omics is poised to drive the next biology revolution with broad impact across life science and medicine.In this debut special issue of GEN Biotechnology, we are delighted to feature a collection of spatial omics perspectives, reviews, and original research articles capturing the breadth of the field from cancer research to the newest advances in imaging methods.Lift OffThe historical roots of visualizing biological function date back 300 years with the invention of the compound microscope by Robert Hooke. Individual cells were seen for the first time in a plant leaf, and researchers could already visualize highly heterogeneous cell morphology implicated in distinct functions in various tissue regions. While the modern era of molecular and cell biology associates morphological heterogeneity with differential gene expression, it was the rise of single-cell genomewide gene expression measured by next-generation sequencing (NGS) platforms that allowed for detailed quantification of cellular heterogeneity in gene expression. Further breakthroughs in massively parallel single-cell sequencing via cellular barcoding enabled the gene expression profiling of thousands of single cells, thereby dissecting cell types and states in large cell populations. But despite these major breakthroughs in single-cell omics, analyzing cellular heterogeneity in the tissue context remained a challenge.Over the past decade, we have witnessed the exponential growth of an emerging field—spatial omics. The goal is to map genomewide biomolecular information pixel-by-pixel in undissociated tissue to yield a holistic view of cell type, state, and function in the native tissue context. Broadly speaking, there are two avenues to achieve this goal—one based on imaging, and the other based on NGS.Imaging-based spatial omicsAlthough single-molecule imaging and fluorescence ","PeriodicalId":73134,"journal":{"name":"GEN biotechnology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135811665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1089/genbio.2023.29116.jgr
Jonathan D. Grinstein
GEN BiotechnologyVol. 2, No. 5 News FeaturesFree AccessKallyope Is Digesting Gut–Brain Biology into MedicinesJonathan D. GrinsteinJonathan D. GrinsteinE-mail Address: [email protected]Senior Editor, GEN Media Group.Search for more papers by this authorPublished Online:16 Oct 2023https://doi.org/10.1089/genbio.2023.29116.jgrAboutSectionsPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail Founded by Columbia University stalwarts Charles Zuker, Richard Axel, and Tom Maniatis, the New York City company is advancing a portfolio of oral small-molecule therapies across metabolism, gastrointestinal disease, and neurological disorders.Charles Zuker, Professor of Biochemistry & Molecular Biophysics and a Professor of Neuroscience at Columbia UniversityCharles Zuker had been studying taste for decades when his lab performed an experiment knocking out the receptor for sweetness in mice to test whether it would be able to distinguish sugar water from plain old water.At first, the mice lacking sweet receptors drink equal amounts of each type of water, whereas a wild-type mouse soon figures out that one of the two is sugar-laden and consequently favor the sweet one. But return 2 days later, the mice are drinking exclusively from the sugar-rich water, even if they lack the receptor for sweetness.1“We figured that there has to be some post-ingestive effect that's triggering this preference. We discovered that this maniacal desire to consume sugar—not sweet, but sugar in particular—was driven by the activation of the gut-brain circuit,” said Zuker when describing the discovery that was the basis for his a-ha moment.“That led to the idea that, my goodness, if activating the circuit can so dramatically transform an animal's behavior, then maybe accessing the gut-brain circuit could also be used to change physiology, metabolism, and so forth,” said Zuker, who is a Professor of Biochemistry and Molecular Biophysics and a Professor of Neuroscience at Columbia University and a Howard Hughes Medical Institute Investigator (Box 1).Box 1. The gut–brain axis: a critical conduit for neural signals informing the brain of the body's metabolic and physiologic stateSurvival requires the integration of external information from senses such as sight, smell, sound, touch, and taste as well as internal sensory cues from the digestive tract.2 To guarantee proper regulation of body physiological processes and behaviors and to promote overall health, informational elements, such as ingested food, energy homeostasis, inflammatory signals, and digestive progress, need to be monitored from the gut.3 The intricate network of neural, sympathetic, endocrine, immune, humoral, and gut microbiota connections—also known as the “brain–gut axis”—controls gastrointestinal homeostasis and connects the brain's emotional and cognitive centers to the gut's functions. This network enables two-wa
{"title":"Kallyope Is Digesting Gut–Brain Biology into Medicines","authors":"Jonathan D. Grinstein","doi":"10.1089/genbio.2023.29116.jgr","DOIUrl":"https://doi.org/10.1089/genbio.2023.29116.jgr","url":null,"abstract":"GEN BiotechnologyVol. 2, No. 5 News FeaturesFree AccessKallyope Is Digesting Gut–Brain Biology into MedicinesJonathan D. GrinsteinJonathan D. GrinsteinE-mail Address: [email protected]Senior Editor, GEN Media Group.Search for more papers by this authorPublished Online:16 Oct 2023https://doi.org/10.1089/genbio.2023.29116.jgrAboutSectionsPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail Founded by Columbia University stalwarts Charles Zuker, Richard Axel, and Tom Maniatis, the New York City company is advancing a portfolio of oral small-molecule therapies across metabolism, gastrointestinal disease, and neurological disorders.Charles Zuker, Professor of Biochemistry & Molecular Biophysics and a Professor of Neuroscience at Columbia UniversityCharles Zuker had been studying taste for decades when his lab performed an experiment knocking out the receptor for sweetness in mice to test whether it would be able to distinguish sugar water from plain old water.At first, the mice lacking sweet receptors drink equal amounts of each type of water, whereas a wild-type mouse soon figures out that one of the two is sugar-laden and consequently favor the sweet one. But return 2 days later, the mice are drinking exclusively from the sugar-rich water, even if they lack the receptor for sweetness.1“We figured that there has to be some post-ingestive effect that's triggering this preference. We discovered that this maniacal desire to consume sugar—not sweet, but sugar in particular—was driven by the activation of the gut-brain circuit,” said Zuker when describing the discovery that was the basis for his a-ha moment.“That led to the idea that, my goodness, if activating the circuit can so dramatically transform an animal's behavior, then maybe accessing the gut-brain circuit could also be used to change physiology, metabolism, and so forth,” said Zuker, who is a Professor of Biochemistry and Molecular Biophysics and a Professor of Neuroscience at Columbia University and a Howard Hughes Medical Institute Investigator (Box 1).Box 1. The gut–brain axis: a critical conduit for neural signals informing the brain of the body's metabolic and physiologic stateSurvival requires the integration of external information from senses such as sight, smell, sound, touch, and taste as well as internal sensory cues from the digestive tract.2 To guarantee proper regulation of body physiological processes and behaviors and to promote overall health, informational elements, such as ingested food, energy homeostasis, inflammatory signals, and digestive progress, need to be monitored from the gut.3 The intricate network of neural, sympathetic, endocrine, immune, humoral, and gut microbiota connections—also known as the “brain–gut axis”—controls gastrointestinal homeostasis and connects the brain's emotional and cognitive centers to the gut's functions. This network enables two-wa","PeriodicalId":73134,"journal":{"name":"GEN biotechnology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135811830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1089/genbio.2023.0033
Ana C. Puhl, Sarah Negri, Maggie A.Z. Hupcey, Sean Ekins
There are thousands of rare genetic diseases lacking an approved treatment, many of which are life limiting to children. Those caused by a missing protein may represent a target for protein replacement either by enzyme replacement therapy or by gene therapy. One of the many challenges working on these types of genetic diseases is the availability of funding, as these diseases typically affect very small number of patients. Here we offer a novel case study of our approach to developing a treatment for one such rare disease, which has not required venture capital, angel investment, or funding by foundations to date. We have instead pursued NIH small business grants to fund the early preclinical work performed by our academic collaborators and ourselves. Our approach to developing a treatment for a rare disease on a shoestring budget is unlike any of the alternative approaches to funding.
{"title":"Developing Treatments for Rare Diseases on a Shoestring","authors":"Ana C. Puhl, Sarah Negri, Maggie A.Z. Hupcey, Sean Ekins","doi":"10.1089/genbio.2023.0033","DOIUrl":"https://doi.org/10.1089/genbio.2023.0033","url":null,"abstract":"There are thousands of rare genetic diseases lacking an approved treatment, many of which are life limiting to children. Those caused by a missing protein may represent a target for protein replacement either by enzyme replacement therapy or by gene therapy. One of the many challenges working on these types of genetic diseases is the availability of funding, as these diseases typically affect very small number of patients. Here we offer a novel case study of our approach to developing a treatment for one such rare disease, which has not required venture capital, angel investment, or funding by foundations to date. We have instead pursued NIH small business grants to fund the early preclinical work performed by our academic collaborators and ourselves. Our approach to developing a treatment for a rare disease on a shoestring budget is unlike any of the alternative approaches to funding.","PeriodicalId":73134,"journal":{"name":"GEN biotechnology","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135273147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1089/genbio.2023.0035
Qiangzhou Rong, Carlos Taboada, Ángela del Águila, Ilaria Merutka, Nishad Jayasundara, Yushun Zeng, Wei Yang, Qifa Zhou, Junjie Yao
Hyperspectral imaging has emerged as a valuable technique for analyzing biological tissue compositions by probing intrinsic or exogenous biomolecules. However, conventional hyperspectral imaging methods predominantly rely on fluorescent signatures, limiting their application to nonfluorescent samples. To overcome this limitation, a label-free reflection-mode hyperspectral photoacoustic microscopy (RHS-PAM) system has been developed. RHS-PAM enables the imaging of thick biological samples with a wide range of intrinsic contrasts using excitation wavelengths ranging from ultraviolet to near infrared. RHS-PAM eliminates the need for tissue staining, and has achieved cellular-level spatial resolution and automatic image coregistrations at all wavelengths. Proof-of-concept applications of RHS-PAM have been demonstrated on various model organisms, including Caenorhabditis elegans, frog tadpole, zebrafish, and mouse. The technique has successfully imaged a wealth of structural and molecular features in these organisms, utilizing the optical absorption contrast of nucleic acids, proteins, hemoglobin, melanin, and lipids. The results highlight the capability of RHS-PAM to provide rich optical contrast, high spatial resolution, and an extended spectral range for label-free imaging. We believe that RHS-PAM represents a highly promising tool for single-cell biochemical mapping of diverse biological tissues.
{"title":"From Ultraviolet to Near-Infrared: Label-Free Reflection-Mode Hyperspectral Photoacoustic Microscopy for Single-Cell Biochemical Mapping","authors":"Qiangzhou Rong, Carlos Taboada, Ángela del Águila, Ilaria Merutka, Nishad Jayasundara, Yushun Zeng, Wei Yang, Qifa Zhou, Junjie Yao","doi":"10.1089/genbio.2023.0035","DOIUrl":"https://doi.org/10.1089/genbio.2023.0035","url":null,"abstract":"Hyperspectral imaging has emerged as a valuable technique for analyzing biological tissue compositions by probing intrinsic or exogenous biomolecules. However, conventional hyperspectral imaging methods predominantly rely on fluorescent signatures, limiting their application to nonfluorescent samples. To overcome this limitation, a label-free reflection-mode hyperspectral photoacoustic microscopy (RHS-PAM) system has been developed. RHS-PAM enables the imaging of thick biological samples with a wide range of intrinsic contrasts using excitation wavelengths ranging from ultraviolet to near infrared. RHS-PAM eliminates the need for tissue staining, and has achieved cellular-level spatial resolution and automatic image coregistrations at all wavelengths. Proof-of-concept applications of RHS-PAM have been demonstrated on various model organisms, including Caenorhabditis elegans, frog tadpole, zebrafish, and mouse. The technique has successfully imaged a wealth of structural and molecular features in these organisms, utilizing the optical absorption contrast of nucleic acids, proteins, hemoglobin, melanin, and lipids. The results highlight the capability of RHS-PAM to provide rich optical contrast, high spatial resolution, and an extended spectral range for label-free imaging. We believe that RHS-PAM represents a highly promising tool for single-cell biochemical mapping of diverse biological tissues.","PeriodicalId":73134,"journal":{"name":"GEN biotechnology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135809418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-01DOI: 10.1089/genbio.2023.29109.jle
Julianna LeMieux
{"title":"23andMe Therapeutics: From Genes to Drugs","authors":"Julianna LeMieux","doi":"10.1089/genbio.2023.29109.jle","DOIUrl":"https://doi.org/10.1089/genbio.2023.29109.jle","url":null,"abstract":"","PeriodicalId":73134,"journal":{"name":"GEN biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42141456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-01DOI: 10.1089/genbio.2023.29108.fme
Fankang Meng, T. Ellis
{"title":"Deciphering the Evolutionary Adaptations of Life with a Minimal Genome","authors":"Fankang Meng, T. Ellis","doi":"10.1089/genbio.2023.29108.fme","DOIUrl":"https://doi.org/10.1089/genbio.2023.29108.fme","url":null,"abstract":"","PeriodicalId":73134,"journal":{"name":"GEN biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49558406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}