keyword
https://read.qxmd.com/read/38701536/reduced-graphene-oxide-electrodes-meet-lateral-flow-assays-a-promising-path-to-advanced-point-of-care-diagnostics
#1
JOURNAL ARTICLE
Enric Calucho, Ruslan Álvarez-Diduk, Andrew Piper, Marianna Rossetti, Tarja K Nevanen, Arben Merkoçi
Research in electrochemical detection in lateral flow assays (LFAs) has gained significant momentum in recent years. The primary impetus for this surge in interest is the pursuit of achieving lower limits of detection, especially given that LFAs are the most widely employed point-of-care biosensors. Conventionally, the strategy for merging electrochemistry and LFAs has centered on the superposition of screen-printed electrodes onto nitrocellulose substrates during LFA fabrication. Nevertheless, this approach poses substantial limitations regarding scalability...
April 24, 2024: Biosensors & Bioelectronics
https://read.qxmd.com/read/38701517/microscope-integrated-optical-coherence-tomography-for-in-vivo-human-brain-tumor-detection-with-artificial-intelligence
#2
JOURNAL ARTICLE
Patrick Kuppler, Paul Strenge, Birgit Lange, Sonja Spahr-Hess, Wolfgang Draxinger, Christian Hagel, Dirk Theisen-Kunde, Ralf Brinkmann, Robert Huber, Volker Tronnier, Matteo Mario Bonsanto
OBJECTIVE: It has been shown that optical coherence tomography (OCT) can identify brain tumor tissue and potentially be used for intraoperative margin diagnostics. However, there is limited evidence on its use in human in vivo settings, particularly in terms of its applicability and accuracy of residual brain tumor detection (RTD). For this reason, a microscope-integrated OCT system was examined to determine in vivo feasibility of RTD after resection with automated scan analysis. METHODS: Healthy and diseased brain was 3D scanned at the resection edge in 18 brain tumor patients and investigated for its informative value in regard to intraoperative tissue classification...
May 3, 2024: Journal of Neurosurgery
https://read.qxmd.com/read/38701481/observation-of-structures-in-the-processes-e-e-%C3%A2-%C3%AF-%C3%AF-_-c1-and-%C3%AF-%C3%AF-_-c2
#3
JOURNAL ARTICLE
M Ablikim, M N Achasov, P Adlarson, X C Ai, R Aliberti, A Amoroso, M R An, Q An, Y Bai, O Bakina, I Balossino, Y Ban, H-R Bao, V Batozskaya, K Begzsuren, N Berger, M Berlowski, M Bertani, D Bettoni, F Bianchi, E Bianco, A Bortone, I Boyko, R A Briere, A Brueggemann, H Cai, X Cai, A Calcaterra, G F Cao, N Cao, S A Cetin, J F Chang, T T Chang, W L Chang, G R Che, G Chelkov, C Chen, Chao Chen, G Chen, H S Chen, M L Chen, S J Chen, S L Chen, S M Chen, T Chen, X R Chen, X T Chen, Y B Chen, Y Q Chen, Z J Chen, W S Cheng, S K Choi, X Chu, G Cibinetto, S C Coen, F Cossio, J J Cui, H L Dai, J P Dai, A Dbeyssi, R E de Boer, D Dedovich, Z Y Deng, A Denig, I Denysenko, M Destefanis, F De Mori, B Ding, X X Ding, Y Ding, Y Ding, J Dong, L Y Dong, M Y Dong, X Dong, M C Du, S X Du, Z H Duan, P Egorov, Y H Fan, J Fang, S S Fang, W X Fang, Y Fang, R Farinelli, L Fava, F Feldbauer, G Felici, C Q Feng, J H Feng, K Fischer, M Fritsch, C D Fu, J L Fu, Y W Fu, H Gao, Y N Gao, Yang Gao, S Garbolino, I Garzia, P T Ge, Z W Ge, C Geng, E M Gersabeck, A Gilman, K Goetzen, L Gong, W X Gong, W Gradl, S Gramigna, M Greco, M H Gu, Y T Gu, C Y Guan, Z L Guan, A Q Guo, L B Guo, M J Guo, R P Guo, Y P Guo, A Guskov, T T Han, W Y Han, X Q Hao, F A Harris, K K He, K L He, F H H Heinsius, C H Heinz, Y K Heng, C Herold, T Holtmann, P C Hong, G Y Hou, X T Hou, Y R Hou, Z L Hou, H M Hu, J F Hu, T Hu, Y Hu, G S Huang, K X Huang, L Q Huang, X T Huang, Y P Huang, T Hussain, N Hüsken, N In der Wiesche, M Irshad, J Jackson, S Jaeger, S Janchiv, J H Jeong, Q Ji, Q P Ji, X B Ji, X L Ji, Y Y Ji, X Q Jia, Z K Jia, H J Jiang, P C Jiang, S S Jiang, T J Jiang, X S Jiang, Y Jiang, J B Jiao, Z Jiao, S Jin, Y Jin, M Q Jing, X M Jing, T Johansson, X K, S Kabana, N Kalantar-Nayestanaki, X L Kang, X S Kang, M Kavatsyuk, B C Ke, A Khoukaz, R Kiuchi, R Kliemt, O B Kolcu, B Kopf, M Kuessner, A Kupsc, W Kühn, J J Lane, P Larin, A Lavania, L Lavezzi, T T Lei, Z H Lei, H Leithoff, M Lellmann, T Lenz, C Li, C Li, C H Li, Cheng Li, D M Li, F Li, G Li, H Li, H B Li, H J Li, H N Li, Hui Li, J R Li, J S Li, J W Li, K L Li, Ke Li, L J Li, L K Li, Lei Li, M H Li, P R Li, Q X Li, S X Li, T Li, W D Li, W G Li, X H Li, X L Li, Xiaoyu Li, Y G Li, Z J Li, Z X Li, C Liang, H Liang, H Liang, H Liang, Y F Liang, Y T Liang, G R Liao, L Z Liao, Y P Liao, J Libby, A Limphirat, D X Lin, T Lin, B J Liu, B X Liu, C Liu, C X Liu, F H Liu, Fang Liu, Feng Liu, G M Liu, H Liu, H B Liu, H M Liu, Huanhuan Liu, Huihui Liu, J B Liu, J L Liu, J Y Liu, K Liu, K Y Liu, Ke Liu, L Liu, L C Liu, Lu Liu, M H Liu, P L Liu, Q Liu, S B Liu, T Liu, W K Liu, W M Liu, X Liu, Y Liu, Y Liu, Y B Liu, Z A Liu, Z Q Liu, X C Lou, F X Lu, H J Lu, J G Lu, X L Lu, Y Lu, Y P Lu, Z H Lu, C L Luo, M X Luo, T Luo, X L Luo, X R Lyu, Y F Lyu, F C Ma, H Ma, H L Ma, J L Ma, L L Ma, M M Ma, Q M Ma, R Q Ma, R T Ma, X Y Ma, Y Ma, Y M Ma, F E Maas, M Maggiora, S Malde, Q A Malik, A Mangoni, Y J Mao, Z P Mao, S Marcello, Z X Meng, J G Messchendorp, G Mezzadri, H Miao, T J Min, R E Mitchell, X H Mo, N Yu Muchnoi, J Muskalla, Y Nefedov, F Nerling, I B Nikolaev, Z Ning, S Nisar, Q L Niu, W D Niu, Y Niu, S L Olsen, Q Ouyang, S Pacetti, X Pan, Y Pan, A Pathak, P Patteri, Y P Pei, M Pelizaeus, H P Peng, Y Y Peng, K Peters, J L Ping, R G Ping, S Plura, V Prasad, F Z Qi, H Qi, H R Qi, M Qi, T Y Qi, S Qian, W B Qian, C F Qiao, J J Qin, L Q Qin, X P Qin, X S Qin, Z H Qin, J F Qiu, S Q Qu, C F Redmer, K J Ren, A Rivetti, M Rolo, G Rong, Ch Rosner, S N Ruan, N Salone, A Sarantsev, Y Schelhaas, K Schoenning, M Scodeggio, K Y Shan, W Shan, X Y Shan, J F Shangguan, L G Shao, M Shao, C P Shen, H F Shen, W H Shen, X Y Shen, B A Shi, H C Shi, J L Shi, J Y Shi, Q Q Shi, R S Shi, X Shi, J J Song, T Z Song, W M Song, Y J Song, Y X Song, S Sosio, S Spataro, F Stieler, Y J Su, G B Sun, G X Sun, H Sun, H K Sun, J F Sun, K Sun, L Sun, S S Sun, T Sun, W Y Sun, Y Sun, Y J Sun, Y Z Sun, Z T Sun, Y X Tan, C J Tang, G Y Tang, J Tang, Y A Tang, L Y Tao, Q T Tao, M Tat, J X Teng, V Thoren, W H Tian, W H Tian, Y Tian, Z F Tian, I Uman, S J Wang, B Wang, B L Wang, Bo Wang, C W Wang, D Y Wang, F Wang, H J Wang, H P Wang, J P Wang, K Wang, L L Wang, M Wang, Meng Wang, S Wang, S Wang, T Wang, T J Wang, W Wang, W Wang, W P Wang, X Wang, X F Wang, X J Wang, X L Wang, Y Wang, Y D Wang, Y F Wang, Y H Wang, Y N Wang, Y Q Wang, Yaqian Wang, Yi Wang, Z Wang, Z L Wang, Z Y Wang, Ziyi Wang, D Wei, D H Wei, F Weidner, S P Wen, C W Wenzel, U Wiedner, G Wilkinson, M Wolke, L Wollenberg, C Wu, J F Wu, L H Wu, L J Wu, X Wu, X H Wu, Y Wu, Y H Wu, Y J Wu, Z Wu, L Xia, X M Xian, T Xiang, D Xiao, G Y Xiao, S Y Xiao, Y L Xiao, Z J Xiao, C Xie, X H Xie, Y Xie, Y G Xie, Y H Xie, Z P Xie, T Y Xing, C F Xu, C J Xu, G F Xu, H Y Xu, Q J Xu, Q N Xu, W Xu, W L Xu, X P Xu, Y C Xu, Z P Xu, Z S Xu, F Yan, L Yan, W B Yan, W C Yan, X Q Yan, H J Yang, H L Yang, H X Yang, Tao Yang, Y Yang, Y F Yang, Y X Yang, Yifan Yang, Z W Yang, Z P Yao, M Ye, M H Ye, J H Yin, Z Y You, B X Yu, C X Yu, G Yu, J S Yu, T Yu, X D Yu, C Z Yuan, L Yuan, S C Yuan, X Q Yuan, Y Yuan, Z Y Yuan, C X Yue, A A Zafar, F R Zeng, X Zeng, Y Zeng, Y J Zeng, X Y Zhai, Y C Zhai, Y H Zhan, A Q Zhang, B L Zhang, B X Zhang, D H Zhang, G Y Zhang, H Zhang, H C Zhang, H H Zhang, H H Zhang, H Q Zhang, H Y Zhang, J Zhang, J J Zhang, J L Zhang, J Q Zhang, J W Zhang, J X Zhang, J Y Zhang, J Z Zhang, Jianyu Zhang, Jiawei Zhang, L M Zhang, L Q Zhang, Lei Zhang, P Zhang, Q Y Zhang, Shuihan Zhang, Shulei Zhang, X D Zhang, X M Zhang, X Y Zhang, Xuyan Zhang, Y Zhang, Y Zhang, Y T Zhang, Y H Zhang, Yan Zhang, Yao Zhang, Z H Zhang, Z L Zhang, Z Y Zhang, Z Y Zhang, G Zhao, J Zhao, J Y Zhao, J Z Zhao, Lei Zhao, Ling Zhao, M G Zhao, R P Zhao, S J Zhao, Y B Zhao, Y X Zhao, Z G Zhao, A Zhemchugov, B Zheng, J P Zheng, W J Zheng, Y H Zheng, B Zhong, X Zhong, H Zhou, L P Zhou, X Zhou, X K Zhou, X R Zhou, X Y Zhou, Y Z Zhou, J Zhu, K Zhu, K J Zhu, L Zhu, L X Zhu, S H Zhu, S Q Zhu, T J Zhu, W J Zhu, Y C Zhu, Z A Zhu, J H Zou, J Zu
We present measurements of the Born cross sections for the processes e^{+}e^{-}→ωχ_{c1} and ωχ_{c2} at center-of-mass energies sqrt[s] from 4.308 to 4.951 GeV. The measurements are performed with data samples corresponding to an integrated luminosity of 11.0  fb^{-1} collected with the BESIII detector operating at the Beijing Electron Positron Collider storage ring. Assuming the e^{+}e^{-}→ωχ_{c2} signals come from a single resonance, the mass and width are determined to be M=(4413...
April 19, 2024: Physical Review Letters
https://read.qxmd.com/read/38701445/massive-strings-from-a-field-theory-with-ghosts
#4
JOURNAL ARTICLE
Nicholas Carabine, Renann Lipinski Jusinskas
In this Letter, we present the α^{'}-exact background equations of motion of the bosonic chiral string (also known as Hohm-Siegel-Zwiebach model), with the spin-two ghost fields integrated out. This is the first instance of a world sheet model in which all corrections are fully determined in a generic curved spacetime. As a concrete cross-check, we find complete agreement between all three-point and a sample of four-point tree-level scattering amplitudes computed using field theory methods and the chiral string prescription...
April 19, 2024: Physical Review Letters
https://read.qxmd.com/read/38701444/experimental-generation-of-spin-photon-entanglement-in-silicon-carbide
#5
JOURNAL ARTICLE
Ren-Zhou Fang, Xiao-Yi Lai, Tao Li, Ren-Zhu Su, Bo-Wei Lu, Chao-Wei Yang, Run-Ze Liu, Yu-Kun Qiao, Cheng Li, Zhi-Gang He, Jia Huang, Hao Li, Li-Xing You, Yong-Heng Huo, Xiao-Hui Bao, Jian-Wei Pan
A solid-state approach for quantum networks is advantageous, as it allows the integration of nanophotonics to enhance the photon emission and the utilization of weakly coupled nuclear spins for long-lived storage. Silicon carbide, specifically point defects within it, shows great promise in this regard due to the easy of availability and well-established nanofabrication techniques. Despite of remarkable progresses made, achieving spin-photon entanglement remains a crucial aspect to be realized. In this Letter, we experimentally generate entanglement between a silicon vacancy defect in silicon carbide and a scattered single photon in the zero-phonon line...
April 19, 2024: Physical Review Letters
https://read.qxmd.com/read/38701440/assessing-the-feasibility-and-preliminary-effects-of-a-web-based-self-management-program-for-chronic-noncancer-pain-mixed-methods-study
#6
JOURNAL ARTICLE
Pascale Marier-Deschenes, Anne Marie Pinard, Laura Jalbert, Annie LeBlanc
BACKGROUND: In Canada, adults with chronic noncancer pain face a persistent insufficiency of publicly funded resources, with the gold standard multidisciplinary pain treatment facilities unable to meet the high clinical demand. Web-based self-management programs cost-effectively increase access to pain management and can improve several aspects of physical and emotional functioning. Aiming to meet the demand for accessible, fully automated resources for individuals with chronic noncancer pain, we developed a French web- and evidence-based self-management program, Agir pour moi (APM)...
May 3, 2024: JMIR Human Factors
https://read.qxmd.com/read/38701436/exploring-the-association-between-structural-racism-and-mental-health-geospatial-and-machine-learning-analysis
#7
JOURNAL ARTICLE
Fahimeh Mohebbi, Amir Masoud Forati, Lucas Torres, Terri A deRoon-Cassini, Jennifer Harris, Carissa W Tomas, John R Mantsch, Rina Ghose
BACKGROUND: Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation. OBJECTIVE: This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques...
May 3, 2024: JMIR Public Health and Surveillance
https://read.qxmd.com/read/38701422/deep-learning-in-structural-bioinformatics-current-applications-and-future-perspectives
#8
REVIEW
Niranjan Kumar, Rakesh Srivastava
In this review article, we explore the transformative impact of deep learning (DL) on structural bioinformatics, emphasizing its pivotal role in a scientific revolution driven by extensive data, accessible toolkits and robust computing resources. As big data continue to advance, DL is poised to become an integral component in healthcare and biology, revolutionizing analytical processes. Our comprehensive review provides detailed insights into DL, featuring specific demonstrations of its notable applications in bioinformatics...
March 27, 2024: Briefings in Bioinformatics
https://read.qxmd.com/read/38701413/scewe-high-order-element-wise-weighted-ensemble-clustering-for-heterogeneity-analysis-of-single-cell-rna-sequencing-data
#9
JOURNAL ARTICLE
Yixiang Huang, Hao Jiang, Wai-Ki Ching
With the emergence of large amount of single-cell RNA sequencing (scRNA-seq) data, the exploration of computational methods has become critical in revealing biological mechanisms. Clustering is a representative for deciphering cellular heterogeneity embedded in scRNA-seq data. However, due to the diversity of datasets, none of the existing single-cell clustering methods shows overwhelming performance on all datasets. Weighted ensemble methods are proposed to integrate multiple results to improve heterogeneity analysis performance...
March 27, 2024: Briefings in Bioinformatics
https://read.qxmd.com/read/38701412/sccrt-a-contrastive-based-dimensionality-reduction-model-for-scrna-seq-trajectory-inference
#10
JOURNAL ARTICLE
Yuchen Shi, Jian Wan, Xin Zhang, Tingting Liang, Yuyu Yin
Trajectory inference is a crucial task in single-cell RNA-sequencing downstream analysis, which can reveal the dynamic processes of biological development, including cell differentiation. Dimensionality reduction is an important step in the trajectory inference process. However, most existing trajectory methods rely on cell features derived from traditional dimensionality reduction methods, such as principal component analysis and uniform manifold approximation and projection. These methods are not specifically designed for trajectory inference and fail to fully leverage prior information from upstream analysis, limiting their performance...
March 27, 2024: Briefings in Bioinformatics
https://read.qxmd.com/read/38701411/ai-identifies-potent-inducers-of-breast-cancer-stem-cell-differentiation-based-on-adversarial-learning-from-gene-expression-data
#11
JOURNAL ARTICLE
Zhongxiao Li, Antonella Napolitano, Monica Fedele, Xin Gao, Francesco Napolitano
Cancer stem cells (CSCs) are a subpopulation of cancer cells within tumors that exhibit stem-like properties and represent a potentially effective therapeutic target toward long-term remission by means of differentiation induction. By leveraging an artificial intelligence approach solely based on transcriptomics data, this study scored a large library of small molecules based on their predicted ability to induce differentiation in stem-like cells. In particular, a deep neural network model was trained using publicly available single-cell RNA-Seq data obtained from untreated human-induced pluripotent stem cells at various differentiation stages and subsequently utilized to screen drug-induced gene expression profiles from the Library of Integrated Network-based Cellular Signatures (LINCS) database...
March 27, 2024: Briefings in Bioinformatics
https://read.qxmd.com/read/38701401/pearls-oy-sters-ino-plus-from-downward-herniation-a-cautionary-tale-regarding-neuro-ophthalmologic-signatures-of-brainstem-compression
#12
JOURNAL ARTICLE
Johannes Hartig, Vera Nickl, Christoph Vollmuth, Simon Weiner, Mirko Pham, Jens Volkmann, Maximilian U Friedrich, Ekkehard Kunze, Chi Wang Ip
Pupillary assessment is a quintessential part of the clinical examination in neuro-intensive care patients because it provides insight into the integrity of midbrain reflex arcs. Abnormal pupils, particularly anisocoria and later bilateral fixed mydriasis, are classically used to assess expansive intracranial processes because they are frequently considered early indicators of transtentorial midbrain compression due to elevated intracranial pressure. Complex ocular motor deficits mapping to the midbrain are rarely described in the setting of high transtentorial pressure...
May 28, 2024: Neurology
https://read.qxmd.com/read/38701383/gelma-based-hydrogel-biomaterial-scaffold-a-versatile-platform-for-regenerative-endodontics
#13
REVIEW
Lei Huang, Xuan Chen, XiaoXia Yang, Yinchun Zhang, Xiaoling Qiu
Endodontic therapy, while generally successful, is primarily limited to mature teeth, hence the pressing need to explore regenerative approaches. Gelatin methacryloyl (GelMA) hydrogels have emerged as pivotal biomaterials, promising a bright future for dental pulp regeneration. Despite advancements in tissue engineering and biomaterials, achieving true pulp tissue regeneration remains a formidable task. GelMA stands out for its injectability, rapid gelation, and excellent biocompatibility, serving as the cornerstone of scaffold materials...
May 2024: Journal of Biomedical Materials Research. Part B, Applied Biomaterials
https://read.qxmd.com/read/38701381/behavior-of-microstrain-in-nd-3-sensitized-near-infrared-upconverting-core-shell-nanocrystals-for-defect-induced-tailoring-of-luminescence-intensity
#14
JOURNAL ARTICLE
Panchanan Pandey, Shilpa Tripathi, Manvendra Narayan Singh, Rajendra Kumar Sharma, Supratim Giri
In an attempt to optimize the upconversion luminescence (UCL) output of a Nd3+ -sensitized near-infrared (808 nm) upconverting core-shell (CS) nanocrystal through deliberate incorporation of lattice defects, a comprehensive analysis of microstrain both at the CS interface and within the core layer was performed using integral breadth calculation of high-energy synchrotron X-ray (λ = 0.568551 Å) diffraction. An atomic level interpretation of such microstrain was performed using pair distribution function analysis of the high-energy total scattering...
May 3, 2024: Nano Letters
https://read.qxmd.com/read/38701373/enhancing-carrier-mobility-in-monolayer-mos-2-transistors-with-process-induced-strain
#15
JOURNAL ARTICLE
Yue Zhang, He Lin Zhao, Siyuan Huang, M Abir Hossain, Arend M van der Zande
Two-dimensional electronic materials are a promising candidate for beyond-silicon electronics due to their favorable size scaling of electronic performance. However, a major challenge is the heterogeneous integration of 2D materials with CMOS processes while maintaining their excellent properties. In particular, there is a knowledge gap in how thin film deposition and processes interact with 2D materials to alter their strain and doping, both of which have a drastic impact on device properties. In this study, we demonstrate how to utilize process-induced strain, a common technique extensively applied in the semiconductor industry, to enhance the carrier mobility in 2D material transistors...
May 3, 2024: ACS Nano
https://read.qxmd.com/read/38701350/venetoclax-a-new-player-in-the-treatment-of-children-with-high-risk-myeloid-malignancies
#16
JOURNAL ARTICLE
Riccardo Masetti, Francesco Baccelli, Davide Leardini, Franco Locatelli
Venetoclax selectively inhibits BCL-2 and restores apoptotic signaling of hematological malignant cells. Venetoclax in combination with hypomethylating and low-dose cytotoxic agents has revolutionized the management of elderly patients affected by acute myeloid leukemia (AML), as well as that of patients unfit to receive intensive chemotherapy. In a single phase 1 pediatric trial conducted on relapsed/refractory AML, the combination of venetoclax with intensive chemotherapy was shown to be safe and yielded promising response rates...
May 3, 2024: Blood Advances
https://read.qxmd.com/read/38701342/connectome-reorganization-associated-with-temporal-lobe-pathology-and-its-surgical-resection
#17
JOURNAL ARTICLE
Sara Larivière, Bo-Yong Park, Jessica Royer, Jordan DeKraker, Alexander Ngo, Ella Sahlas, Judy Chen, Raúl Rodríguez-Cruces, Yifei Weng, Birgit Frauscher, Ruoting Liu, Zhengge Wang, Golia Shafiei, Bratislav Mišić, Andrea Bernasconi, Neda Bernasconi, Michael D Fox, Zhiqiang Zhang, Boris C Bernhardt
Network neuroscience offers a unique framework to understand the organizational principles of the human brain. Despite recent progress, our understanding of how the brain is modulated by focal lesions remains incomplete. Resection of the temporal lobe is the most effective treatment to control seizures in pharmaco-resistant temporal lobe epilepsy (TLE), making this syndrome a powerful model to study lesional effects on network organization in young and middle-aged adults. Here, we assessed the downstream consequences of a focal lesion and its surgical resection on the brain's structural connectome, and explored how this reorganization relates to clinical variables at the individual patient level...
May 3, 2024: Brain
https://read.qxmd.com/read/38701338/integrative-clinical-hormonal-and-molecular-data-associate-with-invasiveness-in-acromegaly-remah-study
#18
JOURNAL ARTICLE
Miguel Sampedro-Nuñez, Aura Dulcinea Herrera-Martínez, Alejandro Ibáñez-Costa, Esther Rivero-Cortés, Eva Venegas, Mercedes Robledo, Rebeca Martínez-Hernández, Araceli García-Martínez, Joan Gil, Mireia Jordà, Judith López-Fernández, Inmaculada Gavilán, Silvia Maraver, Montserrat Marqués-Pamies, Rosa Cámara, Carmen Fajardo-Montañana, Elena Valassi, Elena Dios, Anna Aulinas, Betina Biagetti, Cristina Álvarez Escola, Marta Araujo-Castro, Concepción Blanco, Paz de Miguel, Rocío Villar-Taibo, Clara V Álvarez, Sonia Gaztambide, Susan M Webb, Luis Castaño, Ignacio Bernabéu, Antonio Picó, María-Ángeles Gálvez, Alfonso Soto-Moreno, Manel Puig-Domingo, Justo P Castaño, Mónica Marazuela, Raúl M Luque
INTRODUCTION: Growth-hormone (GH)-secreting pituitary-tumors (GHomas) are the most common acromegaly cause. At diagnosis, most of them are macroadenomas, and up to 56% display cavernous sinus invasion. Biomarkers assessment associated with tumor-growth and invasion are important to optimize their management. OBJECTIVES: To identify clinical/hormonal/molecular-biomarkers associated with tumor-size and invasiveness in GHomas, and to analyze the influence of pre-treatment with somatostatin-analogs or dopamine-agonists in key molecular biomarkers expression...
May 3, 2024: European Journal of Endocrinology
https://read.qxmd.com/read/38701337/multimodal-mass-spectrometry-identifies-a-conserved-protective-epitope-in-s-pyogenes-streptolysin-o
#19
JOURNAL ARTICLE
Di Tang, Carlos Gueto-Tettay, Elisabeth Hjortswang, Joel Ströbaek, Simon Ekström, Lotta Happonen, Lars Malmström, Johan Malmström
An important element of antibody-guided vaccine design is the use of neutralizing or opsonic monoclonal antibodies to define protective epitopes in their native three-dimensional conformation. Here, we demonstrate a multimodal mass spectrometry-based strategy for in-depth characterization of antigen-antibody complexes to enable the identification of protective epitopes using the cytolytic exotoxin Streptolysin O (SLO) from Streptococcus pyogenes as a showcase. We first discovered a monoclonal antibody with an undisclosed sequence capable of neutralizing SLO-mediated cytolysis...
May 3, 2024: Analytical Chemistry
https://read.qxmd.com/read/38701332/controlled-self-assembly-of-nanoscale-superstructures-in-phase-change-ge-sb-te-nanowires
#20
JOURNAL ARTICLE
Gaurav Modi, Andrew C Meng, Srinivasan Rajagopalan, Rangarajan Thiruvengadam, Peter K Davies, Eric A Stach, Ritesh Agarwal
Controlled growth of semiconductor nanowires with atomic precision offers the potential to tune the material properties for integration into scalable functional devices. Despite significant progress in understanding the nanowire growth mechanism, definitive control over atomic positions of its constituents, structure, and morphology via self-assembly remains challenging. Here, we demonstrate an exquisite control over synthesis of cation-ordered nanoscale superstructures in Ge-Sb-Te nanowires with the ability to deterministically vary the nanowire growth direction, crystal facets, and periodicity of cation ordering by tuning the relative precursor flux during synthesis...
May 3, 2024: Nano Letters
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