12,375 Works

MOESM1 of Elucidating the role of highly homologous Nicotiana benthamiana ubiquitin E2 gene family members in plant immunity through an improved virus-induced gene silencing approach

Bangjun Zhou & Lirong Zeng
Additional file 1: Fig. S1. N. benthamiana ubiquitin E2 enzymes are classified into thirteen groups. Numbering of the groups was based on the phylogenetic analysis of the protein sequences of the N. benthamiana ubiquitin E2 s and by following the numbering of the groups of tomato ubiquitin E2 s [39]. The unrooted phylogenetic tree of the amino acid sequences of the forty N. benthamiana ubiquitin E2s was generated by the neighbor-joining method using the MEGA6 program with...

MOESM8 of Pleomorphism and drug resistant cancer stem cells are characteristic of aggressive primary meningioma cell lines

Ishaq Khan, Saleh Baeesa, Mohammed Bangash, Hans-Juergen Schulten, Fahad Alghamdi, Hanadi Qashqari, Nawal Madkhali, Angel Carracedo, Mohamad Saka, Awatif Jamal, Jaudah Al-Maghrabi, Mohammed AlQahtani, Saleh Al-Karim, Ghazi Damanhouri, Kulvinder Saini, Adeel Chaudhary, Adel Abuzenadah & Deema Hussein
Additional file 8: Figure S6. The expression of AGR2 in G type cell lines. A) Immunofluorescence images for two G Type cell lines (Jed39_MN and Jed40_MN). Images show cells co-stained positively for Vimentin+AGR2+ (Green, Red). B) Average percentages of cells positive for AGR2. Error bars represent errors between three independent counts.

MOESM7 of Pleomorphism and drug resistant cancer stem cells are characteristic of aggressive primary meningioma cell lines

Ishaq Khan, Saleh Baeesa, Mohammed Bangash, Hans-Juergen Schulten, Fahad Alghamdi, Hanadi Qashqari, Nawal Madkhali, Angel Carracedo, Mohamad Saka, Awatif Jamal, Jaudah Al-Maghrabi, Mohammed AlQahtani, Saleh Al-Karim, Ghazi Damanhouri, Kulvinder Saini, Adeel Chaudhary, Adel Abuzenadah & Deema Hussein
Additional file 7: Figure S5. Average percentages of morphologies counts for Jed62_MN and Jed79_MN. Each tumor was divided into four portions that were grown in either DMEM-F12 +10% FBS (Blue line), or DMEM high glucose concentrations of 4500 mg/L (Gibco) +10% FBS (Grey line), or DMEM high glucose concentrations of 4500 mg/L (Gibco) + 5% FBS (Yellow line), or DMEM low glucose concentrations of 1000 mg/L (Gibco) + 10% FBS (Orange line). Horizontal accesses represent...

MOESM6 of Pleomorphism and drug resistant cancer stem cells are characteristic of aggressive primary meningioma cell lines

Ishaq Khan, Saleh Baeesa, Mohammed Bangash, Hans-Juergen Schulten, Fahad Alghamdi, Hanadi Qashqari, Nawal Madkhali, Angel Carracedo, Mohamad Saka, Awatif Jamal, Jaudah Al-Maghrabi, Mohammed AlQahtani, Saleh Al-Karim, Ghazi Damanhouri, Kulvinder Saini, Adeel Chaudhary, Adel Abuzenadah & Deema Hussein
Additional file 6: Figure S4. AGR2 co-expression with CSCs markers in situ. A) Images for immunofluorescence co-staining of stem cell markers Nestin+AGR2+(Green, Red), CD133+AGR2+(Green, Red), and Sox2+AGR2+ (Green, Red) in low grade (Jed62_MN and Jed40_MN) and high grade (Jed49_MN and Jed45_MN) tumors. B) Mean percentages of co-positive cells. Error bars represent count errors between three independent regions within each tissue. All images were taken at 20Ă .

MOESM5 of Pleomorphism and drug resistant cancer stem cells are characteristic of aggressive primary meningioma cell lines

Ishaq Khan, Saleh Baeesa, Mohammed Bangash, Hans-Juergen Schulten, Fahad Alghamdi, Hanadi Qashqari, Nawal Madkhali, Angel Carracedo, Mohamad Saka, Awatif Jamal, Jaudah Al-Maghrabi, Mohammed AlQahtani, Saleh Al-Karim, Ghazi Damanhouri, Kulvinder Saini, Adeel Chaudhary, Adel Abuzenadah & Deema Hussein
Additional file 5: Figure S3. CSCs markers expression in situ. A) Images for immunofluorescence co-staining of stem cell markers CD133+Sox2+ (Green, Red) or Nestin+Ki67+ (Green, Red) and AGR2+ BMI1+ (Red, Green) in low grade (Jed62_MN) and high grade (Jed45_MN) tumors. B) Mean percentages of co-positive cells. Error bars represent count errors between three independent regions within each tissue. All images were taken at 20Ă .

MOESM2 of Pleomorphism and drug resistant cancer stem cells are characteristic of aggressive primary meningioma cell lines

Ishaq Khan, Saleh Baeesa, Mohammed Bangash, Hans-Juergen Schulten, Fahad Alghamdi, Hanadi Qashqari, Nawal Madkhali, Angel Carracedo, Mohamad Saka, Awatif Jamal, Jaudah Al-Maghrabi, Mohammed AlQahtani, Saleh Al-Karim, Ghazi Damanhouri, Kulvinder Saini, Adeel Chaudhary, Adel Abuzenadah & Deema Hussein
Additional file 2: Figure S2. H&E slides for studied variants including meningothelial (Jed18_MN, Jed34_MN, and Jed39_MN) showing lobules of uniform eosinopholic cells with central nuclei and intranuclear inclusions forming abundant whorls with no evidence of atypia, necrosis or mitosis; fibroblastic (Jed33_MN, Jed40_MN, and Jed49_MN) showing spindle cells with indistinct cell boundaries running in fascicle; transitional (Jed04_MN, Jed36_MN, and Jed38_MN) with ratios of meningothelial to fibroblastic patterns ranging from 20:80 for Jed04_MN, 50:50 for Jed09_MN, 30:70...

MOESM1 of Pleomorphism and drug resistant cancer stem cells are characteristic of aggressive primary meningioma cell lines

Ishaq Khan, Saleh Baeesa, Mohammed Bangash, Hans-Juergen Schulten, Fahad Alghamdi, Hanadi Qashqari, Nawal Madkhali, Angel Carracedo, Mohamad Saka, Awatif Jamal, Jaudah Al-Maghrabi, Mohammed AlQahtani, Saleh Al-Karim, Ghazi Damanhouri, Kulvinder Saini, Adeel Chaudhary, Adel Abuzenadah & Deema Hussein
Additional file 1: Figure S1. Growth inhibition assays for A) Cisplatin and B) Etoposide for NG cell lines Jed38_MN, Jed45_MN and Jed49_MN.

2801783.mp4

Ali Behrooz, Peter Waterman, Kristine Vasquez, Jeff Meganck, Jeffrey Peterson, Ilias Faqir & Joshua Kempner
Intraoperative fluorescence-guided tumor resection in a canine subject using Solaris

2864599.mp4

Tohru Kawakami, Munekazu Date, Mutsumi Sasai & Hideaki Takada
Visualization 1

Biomedical Informatics

Michael Conlon
Program presentation, NIH site visit, June 9, 2011.

Biomedical Informatics

Michael Conlon
Program presentation, NIH site visit, June 9, 2011.

Identifying Chemical Protein Adducts Using a Multipronged Approach (The 2017 Northwest Regional ACS Meeting)

PNNL Omics, Paul D. Piehowski, Subhasree Nag, Tujin Shi, Joshua R. Hansen, Aaron T. Wright & Jordan N. Smith
Developed strategies for estimating and controlling false discovery rate(FDR). (implemented in R)Screened different potential modificationsCustom software tool for validation of modification and site of modificationConfident identification of protein adducts induced by chlorpyrifos-oxon exposure

Identifying Chemical Protein Adducts Using a Multipronged Approach (The 2017 Northwest Regional ACS Meeting)

PNNL Omics, Paul D. Piehowski, Subhasree Nag, Tujin Shi, Joshua R. Hansen, Aaron T. Wright & Jordan N. Smith
Developed strategies for estimating and controlling false discovery rate(FDR). (implemented in R)Screened different potential modificationsCustom software tool for validation of modification and site of modificationConfident identification of protein adducts induced by chlorpyrifos-oxon exposure

RDM at DLS

Kayleigh Lino & Erika Mias
Slideshow that summarises the RDM services available at UCT Libraries' Digital Library Services and provides tips and best practices for managing and sharing your research data.

RDM at DLS

Kayleigh Lino & Erika Mias
Slideshow that summarises the RDM services available at UCT Libraries' Digital Library Services and provides tips and best practices for managing and sharing your research data.

Video of non-planar wing morphing from How pigeons couple three-dimensional elbow and wrist motion to morph their wings

Amanda K. Stowers, Laura Y. Matloff & David Lentink
Wing skeletal motion is non-planar and deviates from the anatomical plane. In the ventral view, the wing bones appear to follow a traditional four-bar ‘drawing parallels’ pattern. However, when we rotate to the anterior view, we see the wing bones move out of plane, demonstrating that the overall motion is non-planar and therefore a 2D ‘drawing parallels’ model is insufficient. Skeletal motion is shown in the reference frames shown in figure 2.

Video of non-planar wing morphing from How pigeons couple three-dimensional elbow and wrist motion to morph their wings

Amanda K. Stowers, Laura Y. Matloff & David Lentink
Wing skeletal motion is non-planar and deviates from the anatomical plane. In the ventral view, the wing bones appear to follow a traditional four-bar ‘drawing parallels’ pattern. However, when we rotate to the anterior view, we see the wing bones move out of plane, demonstrating that the overall motion is non-planar and therefore a 2D ‘drawing parallels’ model is insufficient. Skeletal motion is shown in the reference frames shown in figure 2.

Video of four and six bar wing mechanisms from How pigeons couple three-dimensional elbow and wrist motion to morph their wings

Amanda K. Stowers, Laura Y. Matloff & David Lentink
Including wrist bones in a six-bar mechanism improves the model's performance in tracking measured wing bone motion. This video compares the four-bar wing model with fused wrist bones and a full six-bar wing model with the measured bone locations (both mechanisms are shown as cartoons in Figure 6). The measured locations of the large bones are shown in grey, while the modeled bones are shown in color.

Video of four and six bar wing mechanisms from How pigeons couple three-dimensional elbow and wrist motion to morph their wings

Amanda K. Stowers, Laura Y. Matloff & David Lentink
Including wrist bones in a six-bar mechanism improves the model's performance in tracking measured wing bone motion. This video compares the four-bar wing model with fused wrist bones and a full six-bar wing model with the measured bone locations (both mechanisms are shown as cartoons in Figure 6). The measured locations of the large bones are shown in grey, while the modeled bones are shown in color.

Are tumor cell lineages solely shaped by mechanical forces?

Giacomo Dimarco & Pierre Degond
Movies showing images obtained from time-lapse experiments performed on HCT116 colon carcinoma cells stably expressing the H2B-mCherry fusion fluorescent protein as described in the material and methods section.

Are tumor cell lineages solely shaped by mechanical forces?

Giacomo Dimarco & Pierre Degond
Movies showing images obtained from time-lapse experiments performed on HCT116 colon carcinoma cells stably expressing the H2B-mCherry fusion fluorescent protein as described in the material and methods section.

Supplemental material to "Evolution of a Fluctuating Population in Randomly Switching Environment"

Karl Wienand, Erwin Frey & Mauro Mobilia
These are videos to supplement the arguments in Evolution of a Fluctuating Population in Randomly Switching Environment by K. Wienand, E. Frey, and M. Mobilia.

Abstract
Environmental conditions play a fundamental role in the competition for resources, and therefore on evolution. Here, we study a well-mixed finite population consisting of slow-growing and fast-growing individuals competing for limited resources in a stochastic environment under two scenarios (pure competition and public good). We consider that resources randomly switch between...

The Importance of identifiers: IWGSC Meeting 20170720

Laurel Haak
Presentation by Laure Haak at the 20 July 2017 meeting of the IWGSC, about use of identifiers in connecting researchers, funding, facilities, and publications. Description of approach and initial results of User Facilities and Publications Working Group, and applications for Scientific Collections.

The Importance of identifiers: IWGSC Meeting 20170720

Laurel Haak
Presentation by Laure Haak at the 20 July 2017 meeting of the IWGSC, about use of identifiers in connecting researchers, funding, facilities, and publications. Description of approach and initial results of User Facilities and Publications Working Group, and applications for Scientific Collections.

Enhancing Computational Tools for Ion Mobility-Mass Spectrometry-Based Untargeted Workflows (Cascadia Proteomics Symposium 17)

PNNL Omics, Aivett Bilbao, John Fjeldsted & Samuel H. Payne
Ion mobility spectrometry (IMS) is a rapid and highly reproducible molecular-shape separation technique. While IMS has shown great utility when coupled with MS for analysis of complex samples, methods for processing the complex data generated have lagged behind. In fact, the incorporation of this extra IMS separation dimension requires upgrades and optimization of existing computational pipelines and the development of new algorithmic strategies to fully exploit the advantages of the technology. Here, we investigate MS...

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