Fully Automated Computational Approach for Precisely Measuring Organelle Acidification with Optical pH Sensors-Reference-Cited by-同舟云学术

Fully Automated Computational Approach for Precisely Measuring Organelle Acidification with Optical pH Sensors

Published:2022-04-11 Issue:16 Volume:14 Page:18133-18149
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Chandra Anil¹^ORCID,Prasad Saumya¹,Alemanno Francesco¹²,De Luca Maria³,Rizzo Riccardo¹,Romano Roberta³,Gigli Giuseppe¹²,Bucci Cecilia³,Barra Adriano²⁴,del Mercato Loretta L.¹^ORCID

Affiliation:

1. Institute of Nanotechnology, National Research Council (CNR-NANOTEC), Campus Ecotekne, Via Monteroni, Lecce 73100, Italy

2. Dipartimento di Matematica e Fisica, Università del Salento, Via Monteroni, Lecce 73100, Italy

3. Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali (DiSTeBa), Università del Salento, Via Monteroni, Lecce 73100, Italy

4. Istituto Nazionale di Fisica Nucleare, Sezione di Lecce, Via Monteroni, Lecce 73100, Italy

Funder

Associazione Italiana per la Ricerca sul Cancro

Ministero degli Affari Esteri e della Cooperazione Internazionale

H2020 European Research Council

Regione Puglia

Progetto PON R & I

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.2c00389

Reference70 articles.

1. Lysosomal Acidification Mechanisms

2. Acidification of Lysosomes and Endosomes

3. Endosome maturation

4. Disorders of lysosomal acidification—The emerging role of v-ATPase in aging and neurodegenerative disease

5. Role of Endosomes and Lysosomes in Human Disease

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