---
_id: '8983'
abstract:
- lang: eng
text: Metabolic adaptation is a critical feature of migrating cells. It tunes the
metabolic programs of migrating cells to allow them to efficiently exert their
crucial roles in development, inflammatory responses and tumor metastasis. Cell
migration through physically challenging contexts requires energy. However, how
the metabolic reprogramming that underlies in vivo cell invasion is controlled
is still unanswered. In my PhD project, I identify a novel conserved metabolic
shift in Drosophila melanogaster immune cells that by modulating their bioenergetic
potential controls developmentally programmed tissue invasion. We show that this
regulation requires a novel conserved nuclear protein, named Atossa. Atossa enhances
the transcription of a set of proteins, including an RNA helicase Porthos and
two metabolic enzymes, each of which increases the tissue invasion of leading
Drosophila macrophages and can rescue the atossa mutant phenotype. Porthos selectively
regulates the translational efficiency of a subset of mRNAs containing a 5’-UTR
cis-regulatory TOP-like sequence. These 5’TOPL mRNA targets encode mitochondrial-related
proteins, including subunits of mitochondrial oxidative phosphorylation (OXPHOS)
components III and V and other metabolic-related proteins. Porthos powers up mitochondrial
OXPHOS to engender a sufficient ATP supply, which is required for tissue invasion
of leading macrophages. Atossa’s two vertebrate orthologs rescue the invasion
defect. In my PhD project, I elucidate that Atossa displays a conserved developmental
metabolic control to modulate metabolic capacities and the cellular energy state,
through altered transcription and translation, to aid the tissue infiltration
of leading cells into energy demanding barriers.
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
- _id: E-Lib
- _id: CampIT
acknowledgement: Also, I would like to express my appreciation and thanks to the Bioimaging
facility, LSF, GSO, library, and IT people at IST Austria.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Shamsi
full_name: Emtenani, Shamsi
id: 49D32318-F248-11E8-B48F-1D18A9856A87
last_name: Emtenani
orcid: 0000-0001-6981-6938
citation:
ama: Emtenani S. Metabolic regulation of Drosophila macrophage tissue invasion.
2020. doi:10.15479/AT:ISTA:8983
apa: Emtenani, S. (2020). Metabolic regulation of Drosophila macrophage tissue
invasion. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8983
chicago: Emtenani, Shamsi. “Metabolic Regulation of Drosophila Macrophage Tissue
Invasion.” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8983.
ieee: S. Emtenani, “Metabolic regulation of Drosophila macrophage tissue invasion,”
Institute of Science and Technology Austria, 2020.
ista: Emtenani S. 2020. Metabolic regulation of Drosophila macrophage tissue invasion.
Institute of Science and Technology Austria.
mla: Emtenani, Shamsi. Metabolic Regulation of Drosophila Macrophage Tissue Invasion.
Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8983.
short: S. Emtenani, Metabolic Regulation of Drosophila Macrophage Tissue Invasion,
Institute of Science and Technology Austria, 2020.
date_created: 2020-12-30T15:41:26Z
date_published: 2020-12-30T00:00:00Z
date_updated: 2023-09-07T13:24:17Z
day: '30'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: DaSi
doi: 10.15479/AT:ISTA:8983
file:
- access_level: open_access
checksum: ec2797ab7a6f253b35df0572b36d1b43
content_type: application/pdf
creator: semtenan
date_created: 2020-12-30T15:34:01Z
date_updated: 2021-12-31T23:30:04Z
embargo: 2021-12-30
file_id: '8984'
file_name: Thesis_Shamsi_Emtenani_pdfA.pdf
file_size: 10848175
relation: main_file
- access_level: closed
checksum: cc30e6608a9815414024cf548dff3b3a
content_type: application/pdf
creator: semtenan
date_created: 2020-12-30T15:37:36Z
date_updated: 2021-12-31T23:30:04Z
embargo_to: open_access
file_id: '8985'
file_name: Thesis_Shamsi_Emtenani_source file.pdf
file_size: 10073648
relation: source_file
file_date_updated: 2021-12-31T23:30:04Z
has_accepted_license: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: '141'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '8557'
relation: part_of_dissertation
status: public
- id: '6187'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Daria E
full_name: Siekhaus, Daria E
id: 3D224B9E-F248-11E8-B48F-1D18A9856A87
last_name: Siekhaus
orcid: 0000-0001-8323-8353
title: Metabolic regulation of Drosophila macrophage tissue invasion
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
---
_id: '8557'
abstract:
- lang: eng
text: The infiltration of immune cells into tissues underlies the establishment
of tissue resident macrophages, and responses to infections and tumors. Yet the
mechanisms immune cells utilize to negotiate tissue barriers in living organisms
are not well understood, and a role for cortical actin has not been examined.
Here we find that the tissue invasion of Drosophila macrophages, also known as
plasmatocytes or hemocytes, utilizes enhanced cortical F-actin levels stimulated
by the Drosophila member of the fos proto oncogene transcription factor family
(Dfos, Kayak). RNA sequencing analysis and live imaging show that Dfos enhances
F-actin levels around the entire macrophage surface by increasing mRNA levels
of the membrane spanning molecular scaffold tetraspanin TM4SF, and the actin cross-linking
filamin Cheerio which are themselves required for invasion. Cortical F-actin levels
are critical as expressing a dominant active form of Diaphanous, a actin polymerizing
Formin, can rescue the Dfos Dominant Negative macrophage invasion defect. In vivo
imaging shows that Dfos is required to enhance the efficiency of the initial phases
of macrophage tissue entry. Genetic evidence argues that this Dfos-induced program
in macrophages counteracts the constraint produced by the tension of surrounding
tissues and buffers the mechanical properties of the macrophage nucleus from affecting
tissue entry. We thus identify tuning the cortical actin cytoskeleton through
Dfos as a key process allowing efficient forward movement of an immune cell into
surrounding tissues.
acknowledged_ssus:
- _id: LifeSc
acknowledgement: 'We thank the following for their contributions: The Drosophila Genomics
Resource Center supported by NIH grant 2P40OD010949-10A1 for plasmids, K. Brueckner.
B. Stramer, M. Uhlirova, O. Schuldiner, the Bloomington Drosophila Stock Center
supported by NIH grant P40OD018537 and the Vienna Drosophila Resource Center for
fly stocks, FlyBase (Thurmond et al., 2019) for essential genomic information, and
the BDGP in situ database for data (Tomancak et al., 2002, 2007). For antibodies,
we thank the Developmental Studies Hybridoma Bank, which was created by the Eunice
Kennedy Shriver National Institute of Child Health and Human Development of the
NIH, and is maintained at the University of Iowa, as well as J. Zeitlinger for her
generous gift of Dfos antibody. We thank the Vienna BioCenter Core Facilities for
RNA sequencing and analysis and the Life Scientific Service Units at IST Austria
for technical support and assistance with microscopy and FACS analysis. We thank
C.P. Heisenberg, P. Martin, M. Sixt and Siekhaus group members for discussions and
T.Hurd, A. Ratheesh and P. Rangan for comments on the manuscript. A.G. was supported
by the Austrian Science Fund (FWF) grant DASI_FWF01_P29638S, D.E.S. by Marie Curie
CIG 334077/IRTIM. M.S. is supported by the FWF, PhD program W1212 915 and the European
Research Council (ERC) Advanced grant (ERC-2015-AdG TNT-Tumors 694883). S.W. is
supported by an OEAW, DOC fellowship.'
article_processing_charge: No
author:
- first_name: Vera
full_name: Belyaeva, Vera
id: 47F080FE-F248-11E8-B48F-1D18A9856A87
last_name: Belyaeva
- first_name: Stephanie
full_name: Wachner, Stephanie
id: 2A95E7B0-F248-11E8-B48F-1D18A9856A87
last_name: Wachner
- first_name: Igor
full_name: Gridchyn, Igor
id: 4B60654C-F248-11E8-B48F-1D18A9856A87
last_name: Gridchyn
orcid: 0000-0002-1807-1929
- first_name: Markus
full_name: Linder, Markus
last_name: Linder
- first_name: Shamsi
full_name: Emtenani, Shamsi
id: 49D32318-F248-11E8-B48F-1D18A9856A87
last_name: Emtenani
orcid: 0000-0001-6981-6938
- first_name: Attila
full_name: György, Attila
id: 3BCEDBE0-F248-11E8-B48F-1D18A9856A87
last_name: György
orcid: 0000-0002-1819-198X
- first_name: Maria
full_name: Sibilia, Maria
last_name: Sibilia
- first_name: Daria E
full_name: Siekhaus, Daria E
id: 3D224B9E-F248-11E8-B48F-1D18A9856A87
last_name: Siekhaus
orcid: 0000-0001-8323-8353
citation:
ama: Belyaeva V, Wachner S, Gridchyn I, et al. Cortical actin properties controlled
by Drosophila Fos aid macrophage infiltration against surrounding tissue resistance.
bioRxiv. doi:10.1101/2020.09.18.301481
apa: Belyaeva, V., Wachner, S., Gridchyn, I., Linder, M., Emtenani, S., György,
A., … Siekhaus, D. E. (n.d.). Cortical actin properties controlled by Drosophila
Fos aid macrophage infiltration against surrounding tissue resistance. bioRxiv.
https://doi.org/10.1101/2020.09.18.301481
chicago: Belyaeva, Vera, Stephanie Wachner, Igor Gridchyn, Markus Linder, Shamsi
Emtenani, Attila György, Maria Sibilia, and Daria E Siekhaus. “Cortical Actin
Properties Controlled by Drosophila Fos Aid Macrophage Infiltration against Surrounding
Tissue Resistance.” BioRxiv, n.d. https://doi.org/10.1101/2020.09.18.301481.
ieee: V. Belyaeva et al., “Cortical actin properties controlled by Drosophila
Fos aid macrophage infiltration against surrounding tissue resistance,” bioRxiv.
.
ista: Belyaeva V, Wachner S, Gridchyn I, Linder M, Emtenani S, György A, Sibilia
M, Siekhaus DE. Cortical actin properties controlled by Drosophila Fos aid macrophage
infiltration against surrounding tissue resistance. bioRxiv, 10.1101/2020.09.18.301481.
mla: Belyaeva, Vera, et al. “Cortical Actin Properties Controlled by Drosophila
Fos Aid Macrophage Infiltration against Surrounding Tissue Resistance.” BioRxiv,
doi:10.1101/2020.09.18.301481.
short: V. Belyaeva, S. Wachner, I. Gridchyn, M. Linder, S. Emtenani, A. György,
M. Sibilia, D.E. Siekhaus, BioRxiv (n.d.).
date_created: 2020-09-23T09:36:47Z
date_published: 2020-09-18T00:00:00Z
date_updated: 2024-03-27T23:30:24Z
day: '18'
department:
- _id: DaSi
- _id: JoCs
doi: 10.1101/2020.09.18.301481
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2020.09.18.301481
month: '09'
oa: 1
oa_version: Preprint
project:
- _id: 253B6E48-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P29638
name: Drosophila TNFa´s Funktion in Immunzellen
- _id: 2536F660-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '334077'
name: Investigating the role of transporters in invasive migration through junctions
- _id: 26199CA4-B435-11E9-9278-68D0E5697425
grant_number: '24800'
name: Tissue barrier penetration is crucial for immunity and metastasis
publication: bioRxiv
publication_status: submitted
related_material:
record:
- id: '10614'
relation: later_version
status: public
- id: '8983'
relation: dissertation_contains
status: public
status: public
title: Cortical actin properties controlled by Drosophila Fos aid macrophage infiltration
against surrounding tissue resistance
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '8831'
abstract:
- lang: eng
text: Holes in planar Ge have high mobilities, strong spin-orbit interaction and
electrically tunable g-factors, and are therefore emerging as a promising candidate
for hybrid superconductorsemiconductor devices. This is further motivated by the
observation of supercurrent transport in planar Ge Josephson Field effect transistors
(JoFETs). A key challenge towards hybrid germanium quantum technology is the design
of high quality interfaces and superconducting contacts that are robust against
magnetic fields. By combining the assets of Al, which has a long superconducting
coherence, and Nb, which has a significant superconducting gap, we form low-disordered
JoFETs with large ICRN products that are capable of withstanding high magnetic
fields. We furthermore demonstrate the ability of phase-biasing individual JoFETs
opening up an avenue to explore topological superconductivity in planar Ge. The
persistence of superconductivity in the reported hybrid devices beyond 1.8 T paves
the way towards integrating spin qubits and proximity-induced superconductivity
on the same chip.
acknowledged_ssus:
- _id: M-Shop
- _id: NanoFab
acknowledgement: "This research and related results were made possible with the support
of the NOMIS Foundation. This research was supported by the Scientific Service Units
of IST Austria through resources provided by the MIBA Machine Shop and the nanofabrication
facility, the European Union’s Horizon 2020 research and innovation program under
the Marie Sklodowska-Curie grant agreement #844511 and the Grant Agreement #862046.
ICN2 acknowledge funding from Generalitat de Catalunya 2017 SGR 327. ICN2 is supported
by the Severo Ochoa\r\nprogram from Spanish MINECO (Grant No. SEV2017-0706) and
is funded by the CERCA Programme / Generalitat de Catalunya. Part of the present
work has been performed in the framework of Universitat Aut`onoma de Barcelona Materials
Science PhD program. The HAADF-STEM microscopy was conducted in the Laboratorio
de Microscopias Avanzadas at Instituto de Nanociencia de Aragon-Universidad de Zaragoza.
Authors acknowledge the LMA-INA for offering access to their instruments and expertise.
We acknowledge support from CSIC Research Platform on Quantum Technologies PTI-001.
This project has received funding from\r\nthe European Union’s Horizon 2020 research
and innovation programme under grant agreement No 823717 – ESTEEM3. M.B. acknowledges
support from SUR Generalitat de Catalunya and the EU Social Fund; project ref. 2020
FI 00103. GS and MV acknowledge support through a projectruimte grant associated
with the Netherlands Organization of Scientific Research (NWO)."
article_number: '2012.00322'
article_processing_charge: No
author:
- first_name: Kushagra
full_name: Aggarwal, Kushagra
id: b22ab905-3539-11eb-84c3-fc159dcd79cb
last_name: Aggarwal
orcid: 0000-0001-9985-9293
- first_name: Andrea C
full_name: Hofmann, Andrea C
id: 340F461A-F248-11E8-B48F-1D18A9856A87
last_name: Hofmann
- first_name: Daniel
full_name: Jirovec, Daniel
id: 4C473F58-F248-11E8-B48F-1D18A9856A87
last_name: Jirovec
orcid: 0000-0002-7197-4801
- first_name: Ivan
full_name: Prieto Gonzalez, Ivan
id: 2A307FE2-F248-11E8-B48F-1D18A9856A87
last_name: Prieto Gonzalez
orcid: 0000-0002-7370-5357
- first_name: Amir
full_name: Sammak, Amir
last_name: Sammak
- first_name: Marc
full_name: Botifoll, Marc
last_name: Botifoll
- first_name: Sara
full_name: Marti-Sanchez, Sara
last_name: Marti-Sanchez
- first_name: Menno
full_name: Veldhorst, Menno
last_name: Veldhorst
- first_name: Jordi
full_name: Arbiol, Jordi
last_name: Arbiol
- first_name: Giordano
full_name: Scappucci, Giordano
last_name: Scappucci
- first_name: Georgios
full_name: Katsaros, Georgios
id: 38DB5788-F248-11E8-B48F-1D18A9856A87
last_name: Katsaros
orcid: 0000-0001-8342-202X
citation:
ama: Aggarwal K, Hofmann AC, Jirovec D, et al. Enhancement of proximity induced
superconductivity in planar Germanium. arXiv.
apa: Aggarwal, K., Hofmann, A. C., Jirovec, D., Prieto Gonzalez, I., Sammak, A.,
Botifoll, M., … Katsaros, G. (n.d.). Enhancement of proximity induced superconductivity
in planar Germanium. arXiv.
chicago: Aggarwal, Kushagra, Andrea C Hofmann, Daniel Jirovec, Ivan Prieto Gonzalez,
Amir Sammak, Marc Botifoll, Sara Marti-Sanchez, et al. “Enhancement of Proximity
Induced Superconductivity in Planar Germanium.” ArXiv, n.d.
ieee: K. Aggarwal et al., “Enhancement of proximity induced superconductivity
in planar Germanium,” arXiv. .
ista: Aggarwal K, Hofmann AC, Jirovec D, Prieto Gonzalez I, Sammak A, Botifoll M,
Marti-Sanchez S, Veldhorst M, Arbiol J, Scappucci G, Katsaros G. Enhancement of
proximity induced superconductivity in planar Germanium. arXiv, 2012.00322.
mla: Aggarwal, Kushagra, et al. “Enhancement of Proximity Induced Superconductivity
in Planar Germanium.” ArXiv, 2012.00322.
short: K. Aggarwal, A.C. Hofmann, D. Jirovec, I. Prieto Gonzalez, A. Sammak, M.
Botifoll, S. Marti-Sanchez, M. Veldhorst, J. Arbiol, G. Scappucci, G. Katsaros,
ArXiv (n.d.).
date_created: 2020-12-02T10:42:53Z
date_published: 2020-12-02T00:00:00Z
date_updated: 2024-03-27T23:30:26Z
day: '02'
ddc:
- '530'
department:
- _id: GeKa
ec_funded: 1
external_id:
arxiv:
- '2012.00322'
file:
- access_level: open_access
checksum: 22a612e206232fa94b138b2c2f957582
content_type: application/pdf
creator: gkatsaro
date_created: 2020-12-02T10:42:31Z
date_updated: 2020-12-02T10:42:31Z
file_id: '8832'
file_name: Superconducting_2D_Ge.pdf
file_size: 1697939
relation: main_file
file_date_updated: 2020-12-02T10:42:31Z
has_accepted_license: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Submitted Version
project:
- _id: 262116AA-B435-11E9-9278-68D0E5697425
name: Hybrid Semiconductor - Superconductor Quantum Devices
- _id: 26A151DA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '844511'
name: Majorana bound states in Ge/SiGe heterostructures
- _id: 237E5020-32DE-11EA-91FC-C7463DDC885E
call_identifier: H2020
grant_number: '862046'
name: TOPOLOGICALLY PROTECTED AND SCALABLE QUANTUM BITS
publication: arXiv
publication_status: submitted
related_material:
record:
- id: '10559'
relation: later_version
status: public
- id: '8834'
relation: research_data
status: public
- id: '10058'
relation: dissertation_contains
status: public
status: public
title: Enhancement of proximity induced superconductivity in planar Germanium
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '8532'
abstract:
- lang: eng
text: The molecular anatomy of synapses defines their characteristics in transmission
and plasticity. Precise measurements of the number and distribution of synaptic
proteins are important for our understanding of synapse heterogeneity within and
between brain regions. Freeze–fracture replica immunogold electron microscopy
enables us to analyze them quantitatively on a two-dimensional membrane surface.
Here, we introduce Darea software, which utilizes deep learning for analysis of
replica images and demonstrate its usefulness for quick measurements of the pre-
and postsynaptic areas, density and distribution of gold particles at synapses
in a reproducible manner. We used Darea for comparing glutamate receptor and calcium
channel distributions between hippocampal CA3-CA1 spine synapses on apical and
basal dendrites, which differ in signaling pathways involved in synaptic plasticity.
We found that apical synapses express a higher density of α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic
acid (AMPA) receptors and a stronger increase of AMPA receptors with synaptic
size, while basal synapses show a larger increase in N-methyl-D-aspartate (NMDA)
receptors with size. Interestingly, AMPA and NMDA receptors are segregated within
postsynaptic sites and negatively correlated in density among both apical and
basal synapses. In the presynaptic sites, Cav2.1 voltage-gated calcium channels
show similar densities in apical and basal synapses with distributions consistent
with an exclusion zone model of calcium channel-release site topography.
acknowledgement: "This research was funded by Austrian Academy of Sciences, DOC fellowship
to D.K., European Research\r\nCouncil Advanced Grant 694539 and European Union Human
Brain Project (HBP) SGA2 785907 to R.S.\r\nWe acknowledge Elena Hollergschwandtner
for technical support."
article_number: '6737'
article_processing_charge: No
article_type: original
author:
- first_name: David
full_name: Kleindienst, David
id: 42E121A4-F248-11E8-B48F-1D18A9856A87
last_name: Kleindienst
- first_name: Jacqueline-Claire
full_name: Montanaro-Punzengruber, Jacqueline-Claire
id: 3786AB44-F248-11E8-B48F-1D18A9856A87
last_name: Montanaro-Punzengruber
- first_name: Pradeep
full_name: Bhandari, Pradeep
id: 45EDD1BC-F248-11E8-B48F-1D18A9856A87
last_name: Bhandari
orcid: 0000-0003-0863-4481
- first_name: Matthew J
full_name: Case, Matthew J
id: 44B7CA5A-F248-11E8-B48F-1D18A9856A87
last_name: Case
- first_name: Yugo
full_name: Fukazawa, Yugo
last_name: Fukazawa
- first_name: Ryuichi
full_name: Shigemoto, Ryuichi
id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
last_name: Shigemoto
orcid: 0000-0001-8761-9444
citation:
ama: Kleindienst D, Montanaro-Punzengruber J-C, Bhandari P, Case MJ, Fukazawa Y,
Shigemoto R. Deep learning-assisted high-throughput analysis of freeze-fracture
replica images applied to glutamate receptors and calcium channels at hippocampal
synapses. International Journal of Molecular Sciences. 2020;21(18). doi:10.3390/ijms21186737
apa: Kleindienst, D., Montanaro-Punzengruber, J.-C., Bhandari, P., Case, M. J.,
Fukazawa, Y., & Shigemoto, R. (2020). Deep learning-assisted high-throughput
analysis of freeze-fracture replica images applied to glutamate receptors and
calcium channels at hippocampal synapses. International Journal of Molecular
Sciences. MDPI. https://doi.org/10.3390/ijms21186737
chicago: Kleindienst, David, Jacqueline-Claire Montanaro-Punzengruber, Pradeep Bhandari,
Matthew J Case, Yugo Fukazawa, and Ryuichi Shigemoto. “Deep Learning-Assisted
High-Throughput Analysis of Freeze-Fracture Replica Images Applied to Glutamate
Receptors and Calcium Channels at Hippocampal Synapses.” International Journal
of Molecular Sciences. MDPI, 2020. https://doi.org/10.3390/ijms21186737.
ieee: D. Kleindienst, J.-C. Montanaro-Punzengruber, P. Bhandari, M. J. Case, Y.
Fukazawa, and R. Shigemoto, “Deep learning-assisted high-throughput analysis of
freeze-fracture replica images applied to glutamate receptors and calcium channels
at hippocampal synapses,” International Journal of Molecular Sciences,
vol. 21, no. 18. MDPI, 2020.
ista: Kleindienst D, Montanaro-Punzengruber J-C, Bhandari P, Case MJ, Fukazawa Y,
Shigemoto R. 2020. Deep learning-assisted high-throughput analysis of freeze-fracture
replica images applied to glutamate receptors and calcium channels at hippocampal
synapses. International Journal of Molecular Sciences. 21(18), 6737.
mla: Kleindienst, David, et al. “Deep Learning-Assisted High-Throughput Analysis
of Freeze-Fracture Replica Images Applied to Glutamate Receptors and Calcium Channels
at Hippocampal Synapses.” International Journal of Molecular Sciences,
vol. 21, no. 18, 6737, MDPI, 2020, doi:10.3390/ijms21186737.
short: D. Kleindienst, J.-C. Montanaro-Punzengruber, P. Bhandari, M.J. Case, Y.
Fukazawa, R. Shigemoto, International Journal of Molecular Sciences 21 (2020).
date_created: 2020-09-20T22:01:35Z
date_published: 2020-09-14T00:00:00Z
date_updated: 2024-03-27T23:30:30Z
day: '14'
ddc:
- '570'
department:
- _id: RySh
doi: 10.3390/ijms21186737
ec_funded: 1
external_id:
isi:
- '000579945300001'
file:
- access_level: open_access
checksum: 2e4f62f3cfe945b7391fc3070e5a289f
content_type: application/pdf
creator: dernst
date_created: 2020-09-21T14:08:58Z
date_updated: 2020-09-21T14:08:58Z
file_id: '8551'
file_name: 2020_JournMolecSciences_Kleindienst.pdf
file_size: 5748456
relation: main_file
success: 1
file_date_updated: 2020-09-21T14:08:58Z
has_accepted_license: '1'
intvolume: ' 21'
isi: 1
issue: '18'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 25CA28EA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '694539'
name: 'In situ analysis of single channel subunit composition in neurons: physiological
implication in synaptic plasticity and behaviour'
- _id: 25D32BC0-B435-11E9-9278-68D0E5697425
name: Mechanism of formation and maintenance of input side-dependent asymmetry in
the hippocampus
- _id: 26436750-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '785907'
name: Human Brain Project Specific Grant Agreement 2 (HBP SGA 2)
publication: International Journal of Molecular Sciences
publication_identifier:
eissn:
- '14220067'
issn:
- '16616596'
publication_status: published
publisher: MDPI
quality_controlled: '1'
related_material:
record:
- id: '9562'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Deep learning-assisted high-throughput analysis of freeze-fracture replica
images applied to glutamate receptors and calcium channels at hippocampal synapses
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 21
year: '2020'
...
---
_id: '7810'
abstract:
- lang: eng
text: "Interprocedural data-flow analyses form an expressive and useful paradigm
of numerous static analysis applications, such as live variables analysis, alias
analysis and null pointers analysis. The most widely-used framework for interprocedural
data-flow analysis is IFDS, which encompasses distributive data-flow functions
over a finite domain. On-demand data-flow analyses restrict the focus of the analysis
on specific program locations and data facts. This setting provides a natural
split between (i) an offline (or preprocessing) phase, where the program is partially
analyzed and analysis summaries are created, and (ii) an online (or query) phase,
where analysis queries arrive on demand and the summaries are used to speed up
answering queries.\r\nIn this work, we consider on-demand IFDS analyses where
the queries concern program locations of the same procedure (aka same-context
queries). We exploit the fact that flow graphs of programs have low treewidth
to develop faster algorithms that are space and time optimal for many common data-flow
analyses, in both the preprocessing and the query phase. We also use treewidth
to develop query solutions that are embarrassingly parallelizable, i.e. the total
work for answering each query is split to a number of threads such that each thread
performs only a constant amount of work. Finally, we implement a static analyzer
based on our algorithms, and perform a series of on-demand analysis experiments
on standard benchmarks. Our experimental results show a drastic speed-up of the
queries after only a lightweight preprocessing phase, which significantly outperforms
existing techniques."
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
- first_name: Rasmus
full_name: Ibsen-Jensen, Rasmus
id: 3B699956-F248-11E8-B48F-1D18A9856A87
last_name: Ibsen-Jensen
orcid: 0000-0003-4783-0389
- first_name: Andreas
full_name: Pavlogiannis, Andreas
id: 49704004-F248-11E8-B48F-1D18A9856A87
last_name: Pavlogiannis
orcid: 0000-0002-8943-0722
citation:
ama: 'Chatterjee K, Goharshady AK, Ibsen-Jensen R, Pavlogiannis A. Optimal and perfectly
parallel algorithms for on-demand data-flow analysis. In: European Symposium
on Programming. Vol 12075. Springer Nature; 2020:112-140. doi:10.1007/978-3-030-44914-8_5'
apa: 'Chatterjee, K., Goharshady, A. K., Ibsen-Jensen, R., & Pavlogiannis, A.
(2020). Optimal and perfectly parallel algorithms for on-demand data-flow analysis.
In European Symposium on Programming (Vol. 12075, pp. 112–140). Dublin,
Ireland: Springer Nature. https://doi.org/10.1007/978-3-030-44914-8_5'
chicago: Chatterjee, Krishnendu, Amir Kafshdar Goharshady, Rasmus Ibsen-Jensen,
and Andreas Pavlogiannis. “Optimal and Perfectly Parallel Algorithms for On-Demand
Data-Flow Analysis.” In European Symposium on Programming, 12075:112–40.
Springer Nature, 2020. https://doi.org/10.1007/978-3-030-44914-8_5.
ieee: K. Chatterjee, A. K. Goharshady, R. Ibsen-Jensen, and A. Pavlogiannis, “Optimal
and perfectly parallel algorithms for on-demand data-flow analysis,” in European
Symposium on Programming, Dublin, Ireland, 2020, vol. 12075, pp. 112–140.
ista: 'Chatterjee K, Goharshady AK, Ibsen-Jensen R, Pavlogiannis A. 2020. Optimal
and perfectly parallel algorithms for on-demand data-flow analysis. European Symposium
on Programming. ESOP: Programming Languages and Systems, LNCS, vol. 12075, 112–140.'
mla: Chatterjee, Krishnendu, et al. “Optimal and Perfectly Parallel Algorithms for
On-Demand Data-Flow Analysis.” European Symposium on Programming, vol.
12075, Springer Nature, 2020, pp. 112–40, doi:10.1007/978-3-030-44914-8_5.
short: K. Chatterjee, A.K. Goharshady, R. Ibsen-Jensen, A. Pavlogiannis, in:, European
Symposium on Programming, Springer Nature, 2020, pp. 112–140.
conference:
end_date: 2020-04-30
location: Dublin, Ireland
name: 'ESOP: Programming Languages and Systems'
start_date: 2020-04-25
date_created: 2020-05-10T22:00:50Z
date_published: 2020-04-18T00:00:00Z
date_updated: 2024-03-27T23:30:33Z
day: '18'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-030-44914-8_5
external_id:
isi:
- '000681656800005'
file:
- access_level: open_access
checksum: 8618b80f4cf7b39a60e61a6445ad9807
content_type: application/pdf
creator: dernst
date_created: 2020-05-26T13:34:48Z
date_updated: 2020-07-14T12:48:03Z
file_id: '7895'
file_name: 2020_LNCS_Chatterjee.pdf
file_size: 651250
relation: main_file
file_date_updated: 2020-07-14T12:48:03Z
has_accepted_license: '1'
intvolume: ' 12075'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 112-140
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
- _id: 266EEEC0-B435-11E9-9278-68D0E5697425
name: Quantitative Game-theoretic Analysis of Blockchain Applications and Smart
Contracts
- _id: 267066CE-B435-11E9-9278-68D0E5697425
name: Quantitative Analysis of Probablistic Systems with a focus on Crypto-currencies
publication: European Symposium on Programming
publication_identifier:
eissn:
- '16113349'
isbn:
- '9783030449131'
issn:
- '03029743'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '8934'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Optimal and perfectly parallel algorithms for on-demand data-flow analysis
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 12075
year: '2020'
...