IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-31110-z.html
   My bibliography  Save this article

Unmixing for ultra-high-plex fluorescence imaging

Author

Listed:
  • Archibald Enninful

    (Yale University)

  • Alev Baysoy

    (Yale University)

  • Rong Fan

    (Yale University
    Yale School of Medicine
    Yale Cancer Center and Yale Stem Cell Center, Yale School of Medicine
    Human and Translational Immunology Program, Yale School of Medicine)

Abstract

Writing in Nature communications, Seo and collaborators presented PICASSO as a method to achieve 15-color imaging of spatially overlapping proteins using no reference emission spectra in a single staining and imaging round. This accessible tool has the potential to be applied to diverse applications within the spatial biology field without neglecting accuracy.

Suggested Citation

  • Archibald Enninful & Alev Baysoy & Rong Fan, 2022. "Unmixing for ultra-high-plex fluorescence imaging," Nature Communications, Nature, vol. 13(1), pages 1-3, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31110-z
    DOI: 10.1038/s41467-022-31110-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-31110-z
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-022-31110-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Alex M. Valm & Sarah Cohen & Wesley R. Legant & Justin Melunis & Uri Hershberg & Eric Wait & Andrew R. Cohen & Michael W. Davidson & Eric Betzig & Jennifer Lippincott-Schwartz, 2017. "Applying systems-level spectral imaging and analysis to reveal the organelle interactome," Nature, Nature, vol. 546(7656), pages 162-167, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Katelyn C. Cook & Elene Tsopurashvili & Jason M. Needham & Sunnie R. Thompson & Ileana M. Cristea, 2022. "Restructured membrane contacts rewire organelles for human cytomegalovirus infection," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    2. Raja Chouket & Agnès Pellissier-Tanon & Aliénor Lahlou & Ruikang Zhang & Diana Kim & Marie-Aude Plamont & Mingshu Zhang & Xi Zhang & Pingyong Xu & Nicolas Desprat & Dominique Bourgeois & Agathe Espagn, 2022. "Extra kinetic dimensions for label discrimination," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    3. Güneş Parlakgül & Song Pang & Leonardo L. Artico & Nina Min & Erika Cagampan & Reyna Villa & Renata L. S. Goncalves & Grace Yankun Lee & C. Shan Xu & Gökhan S. Hotamışlıgil & Ana Paula Arruda, 2024. "Spatial mapping of hepatic ER and mitochondria architecture reveals zonated remodeling in fasting and obesity," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    4. Alexandre Santinho & Maxime Carpentier & Julio Lopes Sampaio & Mohyeddine Omrane & Abdou Rachid Thiam, 2024. "Giant organelle vesicles to uncover intracellular membrane mechanics and plasticity," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    5. Nell Saunders & Blandine Monel & Nadège Cayet & Lorenzo Archetti & Hugo Moreno & Alexandre Jeanne & Agathe Marguier & Julian Buchrieser & Timothy Wai & Olivier Schwartz & Mathieu Fréchin, 2024. "Dynamic label-free analysis of SARS-CoV-2 infection reveals virus-induced subcellular remodeling," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    6. Jan Kretschmer & Tomáš David & Martin Dračínský & Ondřej Socha & Daniel Jirak & Martin Vít & Radek Jurok & Martin Kuchař & Ivana Císařová & Miloslav Polasek, 2022. "Paramagnetic encoding of molecules," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    7. Cátia Silva Janota & Andreia Pinto & Anna Pezzarossa & Pedro Machado & Judite Costa & Pedro Campinho & Cláudio A. Franco & Edgar R. Gomes, 2022. "Shielding of actin by the endoplasmic reticulum impacts nuclear positioning," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    8. Nikolaos Mougios & Elena R. Cotroneo & Nils Imse & Jonas Setzke & Silvio O. Rizzoli & Nadja A. Simeth & Roman Tsukanov & Felipe Opazo, 2024. "NanoPlex: a universal strategy for fluorescence microscopy multiplexing using nanobodies with erasable signals," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    9. Noble Kumar Talari & Ushodaya Mattam & Niroj Kumar Meher & Arun Kumar Paripati & Kalyankar Mahadev & Thanuja Krishnamoorthy & Naresh Babu V. Sepuri, 2023. "Lipid-droplet associated mitochondria promote fatty-acid oxidation through a distinct bioenergetic pattern in male Wistar rats," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    10. Jiří Bezdíček & Andrea Nesvadbová & Jaromír Ducháček & Jana Sekaninová & Luděk Stádník & Martina Janků, 2024. "Changes in the oxidative - biochemical status in dairy cows during the transition period affecting reproductive and health parameters," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 69(9), pages 345-355.
    11. Dianne Lumaquin-Yin & Emily Montal & Eleanor Johns & Arianna Baggiolini & Ting-Hsiang Huang & Yilun Ma & Charlotte LaPlante & Shruthy Suresh & Lorenz Studer & Richard M. White, 2023. "Lipid droplets are a metabolic vulnerability in melanoma," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    12. Yong Mi Choi & Dalila Ajjaji & Kaelin D. Fleming & Peter P. Borbat & Meredith L. Jenkins & Brandon E. Moeller & Shaveen Fernando & Surita R. Bhatia & Jack H. Freed & John E. Burke & Abdou Rachid Thiam, 2023. "Structural insights into perilipin 3 membrane association in response to diacylglycerol accumulation," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    13. Junyoung Seo & Yeonbo Sim & Jeewon Kim & Hyunwoo Kim & In Cho & Hoyeon Nam & Young-Gyu Yoon & Jae-Byum Chang, 2022. "PICASSO allows ultra-multiplexed fluorescence imaging of spatially overlapping proteins without reference spectra measurements," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    14. James Burgess & Jeffrey J. Nirschl & Maria-Clara Zanellati & Alejandro Lozano & Sarah Cohen & Serena Yeung-Levy, 2024. "Orientation-invariant autoencoders learn robust representations for shape profiling of cells and organelles," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31110-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.