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Figure 2 from: Logoyda L (2020) HPLC-MS/MS method development for the quantitative determination of nifedipine for Caco-2 permeability assay. Pharmacia 67(2): 83-88. https://doi.org/10.3897/pharmacia.67.e50159
Figure 2 Gradient curve.
Figure 3 from: Logoyda L (2020) HPLC-MS/MS method development for the quantitative determination of nifedipine for Caco-2 permeability assay. Pharmacia 67(2): 83-88. https://doi.org/10.3897/pharmacia.67.e50159
Figure 3 Typical multiple reaction monitoring chromatograms of nifedipine.
Figure 1 from: Logoyda L (2020) HPLC-MS/MS method development for the quantitative determination of nifedipine for Caco-2 permeability assay. Pharmacia 67(2): 83-88. https://doi.org/10.3897/pharmacia.67.e50159
Figure 1 The chemical structure of nifedipine.
Figure 4 from: Logoyda L (2020) HPLC-MS/MS method development for the quantitative determination of nifedipine for Caco-2 permeability assay. Pharmacia 67(2): 83-88. https://doi.org/10.3897/pharmacia.67.e50159
Figure 4 Thecalibration curve of nifedipine in human plasma.
Figure 1 from: Abdel-Dayem MS, Abu El-Ghiet UM, Elsheikh TM, Elgharbawy AA, Al-Fifi ZIA, Aldhafer HM (2020) The first survey of the beetles (Coleoptera) of the Farasan Archipelago of the southern Red Sea, Kingdom of Saudi Arabia. ZooKeys 959: 17-86. https://doi.org/10.3897/zookeys.959.51224
Figure 1 Study islands in Farasan Archipelago in the southern Red Sea, Kingdom of Saudi Arabia.
Figure 6 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 6 Number of various wild flora species users according to villages.
Figure 7 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 7 Number of producers based on type of products made from wild flora.
Figure 3 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 3 The 12 largest families and genera of the vascular plants of Setiu Wetlands.
Figure 2 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 2 The locality of Setiu Wetlands and the nine vegetation types.
Figure 1 from: Poponessi S, Aleffi M, Sabovljević MS, Venanzoni R (2020) Bryophyte diversity hotspot: the Marmore Waterfalls Regional Park (Umbria, central Italy). Italian Botanist 10: 33-45. https://doi.org/10.3897/italianbotanist.10.54885
Figure 1 Schematic Map of the study area.
Quantitative Lipidomic Analysis of Osteosarcoma Cell-Derived Products by UHPLC-MS/MS
<p>Dataset of the paper 'Quantitative Lipidomic Analysis of Osteosarcoma Cell-Derived Products by UHPLC-MS/MS'</p>
Figure 4 from: Sampaio FAC, Rufino MS, Pompeu PS, Santos HA, Ferreira RL (2020) Hydraulic flow resistance of epigean and hypogean fish of the family Trichomycteridae (Ostariophysi, Siluriformes). Subterranean Biology 35: 97-110. https://doi.org/10.3897/subtbiol.35.55064
Figure 4 Absolute critical speed (m/s) of the tested epigean and hypogean species.
Figure 1 from: Sampaio FAC, Rufino MS, Pompeu PS, Santos HA, Ferreira RL (2020) Hydraulic flow resistance of epigean and hypogean fish of the family Trichomycteridae (Ostariophysi, Siluriformes). Subterranean Biology 35: 97-110. https://doi.org/10.3897/subtbiol.35.55064
Figure 1 Number of specimens according to total length (cm) classes.
Figure 5 from: Sampaio FAC, Rufino MS, Pompeu PS, Santos HA, Ferreira RL (2020) Hydraulic flow resistance of epigean and hypogean fish of the family Trichomycteridae (Ostariophysi, Siluriformes). Subterranean Biology 35: 97-110. https://doi.org/10.3897/subtbiol.35.55064
Figure 5 Relative critical speed (body length/s) of the tested epigean and hypogean species.
Raw Data of LC-MS on Culex pipiens pallens after selection to three insecticide
<p><span><b>Abstract</b></span></p> <p><b>Background: </b></p> <p>Mosquito control based on chemical insecticides is considered as an important element of the current global strategies for the control of mosquito-borne diseases. Unfortunately, the development of insecticide resistance of important vector mosquito species jeopardizes the effectiveness of insecticide-based mosquito control. In contrast to target site resistance, other mechanisms are far from being fully understood.</p> <p><b>Methods: </b></p> <p>Global protein profiles among cypermethrin-resistant, propoxur-resistant, dimethyl-dichloro-vinyl-phosphate (DDV)-resistant and susceptible strain of <i>Culex pipiens pallens</i> were obtained and proteomic differences were evaluated by using isobaric tags for relative and absolute quantification (iTRAQ) labeling coupled with liquid chromatography/tandem mass spectrometric (LC-MS/MS) analysis.</p> <p><b>Results: </b></p> <p><span>A susceptible strain of <i>Cx. pipiens pallens</i> showed elevated resistance levels to after 25 generations of insecticide selection, through iTRAQ data analysis detected 2,502 proteins, of which <span>1,513</span> were differentially expressed in insecticide-selected strains compared to the susceptible strain. Finally, midgut differential protein expression profiles were analyzed, and 62 proteins were selected for verification of differential expression using iTRAQ and parallel reaction monitoring strategy, respectively.</span></p> <p><b>Conclusions</b></p> <p>iTRAQ profiles of adaptation selection to three insecticide strains combined with midgut profiles revealed that multiple insecticide resistance mechanisms operate simultaneously in resistant insects of <i>Cx. pipiens pallens</i>. Significant molecular resources were developed for <i>Cx. pipiens pallens</i>, potential candidates were involved in metabolic resistance and reducing penetration or sequestering insecticide. Future research that is targeted towards RNA interference of the identified metabolic targets, such as cuticular proteins, cytochrome P450s, glutathione S-transferases and ribosomal proteins proteins and biological pathways (<span>drug metabolism - cytochrome P450</span><span>, </span><span>metabolism of xenobiotics by cytochrome P450</span><span>,</span> oxidative phosphorylation, ribosome) could lay the foundation for a better understanding of the genetic basis of insecticide resistance in <i>Cx. pipiens pallens</i>.</p>
Map 3 from: Caterino MS, Tishechkin AK (2020) Recognition and revision of the Phelister blairi group (Histeridae, Histerinae, Exosternini). ZooKeys 1001: 1-154. https://doi.org/10.3897/zookeys.1001.58447
Map 3 Collecting records for Phelister fimbriatus.
Map 2 from: Caterino MS, Tishechkin AK (2020) Recognition and revision of the Phelister blairi group (Histeridae, Histerinae, Exosternini). ZooKeys 1001: 1-154. https://doi.org/10.3897/zookeys.1001.58447
Map 2 Collecting records for Phelister erwini.
Figure 39 from: Caterino MS, Tishechkin AK (2020) Recognition and revision of the Phelister blairi group (Histeridae, Histerinae, Exosternini). ZooKeys 1001: 1-154. https://doi.org/10.3897/zookeys.1001.58447
Figure 39 Male genitalia Phelister blairoidesA aedeagus, dorsal B aedeagus, lateral.
Figure 37 from: Caterino MS, Tishechkin AK (2020) Recognition and revision of the Phelister blairi group (Histeridae, Histerinae, Exosternini). ZooKeys 1001: 1-154. https://doi.org/10.3897/zookeys.1001.58447
Figure 37 Male genitalia, Phelister incertusA aedeagus, dorsal B aedeagus, lateral.
Map 1 from: Caterino MS, Tishechkin AK (2020) Recognition and revision of the Phelister blairi group (Histeridae, Histerinae, Exosternini). ZooKeys 1001: 1-154. https://doi.org/10.3897/zookeys.1001.58447
Map 1 Collecting records for Phelister blairi.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.