scispace - formally typeset
Search or ask a question
Institution

Rzeszów University

EducationRzeszów, Poland
About: Rzeszów University is a education organization based out in Rzeszów, Poland. It is known for research contribution in the topics: Population & Yeast. The organization has 3167 authors who have published 8004 publications receiving 68201 citations.


Papers
More filters
Journal ArticleDOI
Daniel J. Klionsky1, Kotb Abdelmohsen2, Akihisa Abe3, Joynal Abedin4  +2519 moreInstitutions (695)
TL;DR: In this paper, the authors present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macro-autophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Abstract: In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. For example, a key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process versus those that measure flux through the autophagy pathway (i.e., the complete process including the amount and rate of cargo sequestered and degraded). In particular, a block in macroautophagy that results in autophagosome accumulation must be differentiated from stimuli that increase autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. It is worth emphasizing here that lysosomal digestion is a stage of autophagy and evaluating its competence is a crucial part of the evaluation of autophagic flux, or complete autophagy. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. Along these lines, because of the potential for pleiotropic effects due to blocking autophagy through genetic manipulation, it is imperative to target by gene knockout or RNA interference more than one autophagy-related protein. In addition, some individual Atg proteins, or groups of proteins, are involved in other cellular pathways implying that not all Atg proteins can be used as a specific marker for an autophagic process. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular assays, we hope to encourage technical innovation in the field.

5,187 citations

Journal ArticleDOI
TL;DR: These guidelines are presented for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Abstract: In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field.

4,316 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
Abstract: In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.

1,129 citations

Journal ArticleDOI
Stella G. Muthuri1, Sudhir Venkatesan1, Puja R. Myles1, Jo Leonardi-Bee1, Tarig Saleh Al Khuwaitir2, Adbullah Al Mamun3, Ashish P Anovadiya4, Eduardo Azziz-Baumgartner5, Clarisa Báez, Matteo Bassetti, Bojana Beović6, Barbara Bertisch7, Isabelle Bonmarin8, Robert Booy9, Víctor Hugo Borja-Aburto10, Heinz Burgmann11, Bin Cao12, Jordi Carratalà13, Justin T Denholm, Samuel R. Dominguez14, Péricles Almeida Delfino Duarte15, Gal Dubnov-Raz16, Marcela Echavarria, Sergio Fanella17, Zhancheng Gao18, Patrick Gérardin19, Maddalena Giannella20, Sophie Gubbels21, Jethro Herberg22, A. Iglesias, Peter Höger23, Xiaoyun Hu24, Quazi Tarikul Islam25, Mirela Foresti Jiménez26, Amr Kandeel, Gerben Keijzers27, Hossein Khalili28, Marian Knight29, Koichiro Kudo, Gabriela Kusznierz, Ilija Kuzman30, Arthur M C Kwan31, Idriss Lahlou Amine, Eduard Langenegger32, Kamran Bagheri Lankarani33, Yee-Sin Leo34, Rita Linko35, Pei Liu36, Faris Madanat37, Elga Mayo-Montero, Allison McGeer38, Ziad A. Memish39, Gökhan Metan40, Auksė Mickiene41, Dragan Mikić42, Kristin G.-I. Mohn43, Kristin G.-I. Mohn44, Ahmadreza Moradi45, Ahmadreza Moradi46, Pagbajabyn Nymadawa, Maria E. Oliva, Mehpare Ozkan, Dhruv Parekh47, Mical Paul48, Fernando P. Polack49, Barbara Rath50, Alejandro Rodríguez, Elena B. Sarrouf, Anna C. Seale23, Anna C. Seale51, Bunyamin Sertogullarindan52, Marilda M. Siqueira53, Joanna Skręt-Magierło54, Frank P. Stephan55, Ewa Talarek56, Julian W. Tang57, Julian W. Tang58, Kelvin K. W. To59, Antoni Torres13, Selda Hançerli Törün, Dat Tran38, Timothy M. Uyeki60, Annelies van Zwol61, Wendy Vaudry57, Tjasa Vidmar, Renata T. C. Yokota, Paul Zarogoulidis, Jonathan S. Nguyen-Van-Tam1 
University of Nottingham1, King Saud Medical City2, International Centre for Diarrhoeal Disease Research, Bangladesh3, Government Medical College, Thiruvananthapuram4, Centers for Disease Control and Prevention5, Ljubljana University Medical Centre6, Kantonsspital St. Gallen7, Institut de veille sanitaire8, Children's Hospital at Westmead9, Mexican Social Security Institute10, Medical University of Vienna11, Capital Medical University12, University of Barcelona13, University of Colorado Denver14, State University of West Paraná15, Sheba Medical Center16, University of Manitoba17, Peking University18, National Institutes of Health19, Hospital General Universitario Gregorio Marañón20, Statens Serum Institut21, Imperial College London22, Boston Children's Hospital23, Peking Union Medical College Hospital24, Dhaka Medical College and Hospital25, Universidade Federal de Ciências da Saúde de Porto Alegre26, Gold Coast Hospital27, Tehran University of Medical Sciences28, University of Oxford29, University of Zagreb30, Pamela Youde Nethersole Eastern Hospital31, Stellenbosch University32, Shiraz University of Medical Sciences33, Tan Tock Seng Hospital34, University of Helsinki35, China Medical University (PRC)36, King Hussein Cancer Center37, University of Toronto38, Alfaisal University39, Erciyes University40, Lithuanian University of Health Sciences41, Military Medical Academy42, University of Bergen43, Haukeland University Hospital44, Johns Hopkins University School of Medicine45, Shahid Beheshti University of Medical Sciences and Health Services46, University of Birmingham47, Rambam Health Care Campus48, Vanderbilt University49, Charité50, University of Bristol51, Yüzüncü Yıl University52, Oswaldo Cruz Foundation53, Rzeszów University54, University Hospital of Basel55, Medical University of Warsaw56, University of Alberta57, University of Alberta Hospital58, University of Hong Kong59, National Center for Immunization and Respiratory Diseases60, VU University Medical Center61
TL;DR: There was an increase in the mortality hazard rate with each day's delay in initiation of treatment up to day 5 as compared with treatment initiated within 2 days of symptom onset, and early treatment versus no treatment was also associated with a reduction in mortality risk.

527 citations

Book ChapterDOI
01 Dec 2000
TL;DR: Some algorithms, based on rough set theory, that can be used for the problem of new cases classification, and several methods for computation of decision rules based on reducts for real value attribute discretization are presented.
Abstract: We we present some algorithms, based on rough set theory, that can be used for the problem of new cases classification. Most of the algorithms were implemented and included in Rosetta system [43]. We present several methods for computation of decision rules based on reducts. We discuss the problem of real value attribute discretization for increasing the performance of algorithms and quality of decision rules. Finally we deal with a problem of resolving conflicts between decision rules classifying a new case to different categories (classes). Keywords: knowledge discovery, rough sets, classification algorithms, reducts, decision rules, real value attribute discretization

446 citations


Authors

Showing all 3191 results

NameH-indexPapersCitations
Grzegorz Bartosz5233810130
Jan Oszmiański472048514
Adam Reich422826241
Stanisław Drożdż392074649
Jacek Krełowski361383976
Dan A. Oren36726102
Suephy C. Chen342004215
Piotr Widlak331644206
Antoni Szczurek323354234
Andriy A. Sibirny3217311743
Piotr Bozek311483241
Krzysztof Golec-Biernat311145085
Jakub Baran292784017
Krzysztof Kaczmarski281242354
Gennady Mishuris272562755
Network Information
Related Institutions (5)
Polish Academy of Sciences
102.1K papers, 2M citations

89% related

University of Warsaw
56.6K papers, 1.1M citations

86% related

University of Perugia
39.5K papers, 1.2M citations

84% related

University of Trieste
32.3K papers, 1M citations

83% related

University of Bari
44.5K papers, 1.2M citations

83% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202312
202245
2021559
2020730
2019700
2018713