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Creative suite

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Creative Suite is a collection of desktop applications developed by Adobe Inc. for graphic design, video editing, and web development. The suite includes industry-standard tools such as Photoshop, Illustrator, InDesign, and more, providing a comprehensive set of software for creative professionals.

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Lab products found in correlation

Prism v5.0b, by GraphPad (2 mentions) A1r confocal microscope, by Nikon (1 mentions) Dfc450, by Leica (1 mentions) M205 microscope, by Leica (1 mentions) Dfc290, by Leica (1 mentions) Zen software, by Zeiss (1 mentions) Fitc conjugated anti f4 80, by Thermo Fisher Scientific (1 mentions) Pe cy7 conjugated anti cd11c, by Thermo Fisher Scientific (1 mentions) Pe conjugated cd11b, by BD (1 mentions) Lsrfortessa flow cytometer, by Tree Star (1 mentions) Vega3, by TESCAN (1 mentions) 3 3 diaminobenzidine tetrahydrochloride dab, by Agilent Technologies (1 mentions) Normal rabbit igg, by Vector Laboratories (1 mentions) 3ds max, by Autodesk (1 mentions)

17 protocols using creative suite

1

Confocal Microscopy Imaging and Analysis

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Images were captured using a Nikon A1R confocal microscope with PMT
based detectors and motorized stage. The microscope has 405nm, 488nm, 561nm,
and 640nm lasers with appropriate filters. All image analysis and
quantification were performed using Nikon Elements. Figures were assembled
using the Adobe Creative Suite.
Zhang X., McGrath P.S., Salomone J., Rahal M., McCauley H.A., Schweitzer J., Kovall R., Gebelein B, & Wells J. (2019). A comprehensive structure-function study of Neurogenin3 disease causing alleles during human pancreas and intestinal organoid development.. Developmental cell, 50(3), 367-380.e7.
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2

Comprehensive Proteomics Profiling Method

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Figures created with BioRender.com (Toronto, Ontario, Canada), Adobe Creative Suite (San Jose, CA, USA), and R (version 3.6.3). Additional figure panels created with KRSA, UKA/BioNavigator, PTM-SEA, or KEA3.
Creeden J.F., Alganem K., Imami A.S., Brunicardi F.C., Liu S.H., Shukla R., Tomar T., Naji F, & McCullumsmith R.E. (2020). Kinome Array Profiling of Patient-Derived Pancreatic Ductal Adenocarcinoma Identifies Differentially Active Protein Tyrosine Kinases. International Journal of Molecular Sciences, 21(22), 8679.
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3

Educational Cartoon Production Protocol

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The educational cartoon was generated in a number of stages. The first was to produce a short narrative with an educational message. This involved a radiologist and a paediatrician, who initially discussed the potential benefits and costs of ionising radiation exposure, and then how paediatricians minimise these exposures when possible. The second stage was to collect an audio of the narrative, using a combination of scripted prose and a more interview-based approach to addressing the matters of interest. Once the final audio was edited, this was then sent to the whiteboard animation team along with some photographs of the narrators and the hospital environment. These were converted into the final educational cartoon using Adobe Creative Suite and Videoscribe software.
Thurley P., Bowker R., Bhatti I., Skelly R., Law R., Salaman R., Young B, & Fogarty A. (2020). Development and evaluation of a brief educational cartoon on trainee clinicians’ awareness of risks of ionising-radiation exposure: a feasibility pre-post intervention study of a novel educational tool to promote patient safety. BMJ Open Quality, 9(4), e000900.
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4

Imaging RNAi-Treated Planarians

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Live images of RNAi-treated planarians or images of fixed in situ-labeled planarians were acquired by students on a Leica M205 microscope fitted with either a Leica DFC290 or DFC450 camera. All images are of the dorsal worm with the anterior at the top. Images were processed for brightness and the figures organized using Creative Suite (Adobe).
Ochoa S.D., Dores M.R., Allen J.M., Tran T., Osman M., Vázquez Castellanos N.P., Trejo J, & Zayas R.M. (2019). A modular laboratory course using planarians to study genes involved in tissue regeneration. Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology, 47(5), 547-559.
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5

Identification of BH Motifs in Proteomes

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BH motifs were initially identified using BH-search: a computational algorithm described in Brzeska et al. and is available online (http://helixweb.nih.gov/bhsearch/) (Brzeska et al., 2010 (link)). Domain analyses were performed using SMART (Letunic et al., 2015 (link); Schultz et al., 1998 (link)). Figures were assembled using the Adobe Creative Suite. The PRBH algorithm was implemented using the Python programming language with standard Python libraries including numpy and matplotlib. The Drosophila and human non-redundant proteome were analyzed from the EMBL-EBI reference proteome files. Please see the Supplemental Information for the full script and a detailed description of the PRBH identification program. Briefly, BH motifs were identified using a previously described BH scoring metric (Brzeska et al., 2010 (link)). Residues surrounding S/T residues were scored based on the aPKC consensus sequence (Wang et al., 2012 (link)) with Miranda’s aPKC recognition sequence included. Composite scores were assigned to sequences identified as BH motifs and aPKC consensus sequences. PRBH scores above a threshold value were analyzed.
Bailey M.J, & Prehoda K.E. (2015). Establishment of Par-polarized cortical domains via phosphoregulated membrane motifs. Developmental cell, 35(2), 199-210.
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6

Quantitative Analysis of Axon Morphology in Neuroinflammation

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Images were processed using the open‐source image analysis software, Fiji35 and Adobe Creative Suite. Gamma was adjusted linearly in all figure panels; gamma was adjusted nonlinearly in video files to enhance visibility of morphological detail. Percentage of cell loss was defined as percentage of cells that lost >50% of their fluorescence, which was accompanied by clear changes in morphology (rounding, process blebbing). Axon morphology in a neuroinflammatory setting was staged as described previously.21, 22 Only axons that were observable across all time points during the experiment over at least 50 µm were analyzed. Each axonal swelling was verified by observations of morphology within unprocessed three‐dimensional (3D) image stacks. We relinquished scoring the morphological changes of astrocytes and axons blindly, given that the difference between control and NMO experiments was obvious. Data sets were processed with Excel (Microsoft Corporation, Redmond, WA). For survival curves (Figs 1E, 2D, 3F, and 4C,G), a custom‐written Python script was used for analysis.
Herwerth M., Kalluri S.R., Srivastava R., Kleele T., Kenet S., Illes Z., Merkler D., Bennett J.L., Misgeld T, & Hemmer B. (2016). In vivo imaging reveals rapid astrocyte depletion and axon damage in a model of neuromyelitis optica‐related pathology. Annals of Neurology, 79(5), 794-805.
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7

Equipping Academics for Immersive Content

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To support academics to create original teaching content, the right skills, software and hardware were needed. Lab technicians were employed with skills in 360° video filming and 3D content creation (generally in Unity, Blender and ThreeJS). Hardware purchased for 360° filming included a GoPro 360° Max camera, Kandao Obsidian stereo 360° camera and SP360 Drone mounted with a Kodak PixPro 4 K 360° camera. Additional software was provided for content editing: Adobe Creative Suite. The laboratory encouraged student research projects to develop unique content.
Marks B, & Thomas J. (2021). Adoption of virtual reality technology in higher education: An evaluation of five teaching semesters in a purpose-designed laboratory. Education and Information Technologies, 27(1), 1287-1305.
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8

Bioinformatic Analysis of Regeneration Genes

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All bioinformatics processing and analyses were performed using the Lumenogix Bioinformatics-in-a-Box web platform (Umylny & Weisburd, 2011 ) and GO term overrepresentation analysis was performed using the Panther database (www.pantherdb.org; Mi et al., 2013 (link)). Venn diagrams were created using the online tool GeneVenn (genevenn.sourceforge.net; RRID:SCR_012117). Heat maps were constructed and clustering was performed using the Broad Institute’s Morpheus tool (https://software.broadinstitute.org/morpheus; RRID:SCR_017386), available online. For analysis of regeneration-associated genes (RAGs) and neurodevelopmental genes, FPKM values resulting from the cufflinks package were used to assess expression levels and gene expression heatmaps were constructed in Morpheus. All graphs were produced using GraphPad Prism v5.0b (RRID:SCR_002798). All figures were produced using the Adobe Creative Suite (RRID:SCR_010279; RRID:SCR_014199).
Wheaton B.J., Sena J., Sundararajan A., Umale P., Schilkey F, & Miller R.D. (2020). Identification of regenerative processes in neonatal spinal cord injury in the opossum (Monodelphis domestica): A transcriptomic study. The Journal of Comparative Neurology, 529(5), 969-986.
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9

Pelvic Nerve Fascicle Orientation

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Figures were produced using Adobe Creative Suite (InDesign, Photoshop; Adobe Systems). Monochrome images, captured using Zen software (Zeiss), were colourised to optimally distinguish the structures of interest, and adjustments were made to brightness and contrast to best illustrate the signal as visualised directly with the microscope. To facilitate comparison across figures, images of pelvic nerve have been oriented consistently with fascicles 1–2 on the left and 3–5 on the right, with the top of the image being closest to the MPG. The fascicles of the pelvic nerve are held together quite loosely, so were frequently separated during the mounting and cover‐slipping processes.
Data that support the findings of the study will be publicly available at the National Institute of Health‐supported SPARC public portal, sparc.science (SPARC Project RRID:SCR_017041).
Bertrand M.M., Korajkic N., Osborne P.B, & Keast J.R. (2020). Functional segregation within the pelvic nerve of male rats: a meso‐ and microscopic analysis. Journal of Anatomy, 237(4), 757-773.
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10

Multiparameter Flow Cytometry of Macrophages

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BMDMs were resuspended and stained with PE-Cy7-conjugated anti-CD11c (eBioscience clone N418, 25-0114), FITC-conjugated anti-F4/80 (eBioscience clone BM8, 11-4801), and PE-conjugated CD11b (BD Pharmingen, San Jose, CA, clone M1/70 553311). BD and eBioscience antibodies to CD45 were used as single-stained controls. Data were collected on a BD LSRFortessa flow cytometer running FACSDiva software and analyzed in FlowJo (TreeStar, Ashland, OR). Figures were made in Adobe Creative Suite (San Jose, CA).
Freedman T.S., Tan Y.X., Skrzypczynska K.M., Manz B.N., Sjaastad F.V., Goodridge H.S., Lowell C.A, & Weiss A. (2015). LynA regulates an inflammation-sensitive signaling checkpoint in macrophages. eLife, 4, e09183.
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