PubMed

Recent Publications

Transcription factors read epigenetics.

Related Articles

Transcription factors read epigenetics.

Science. 2017 May 05;356(6337):489-490

Authors: Hughes TR, Lambert SA

PMID: 28473550 [PubMed - in process]



▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄

Local delivery of chondroitinase ABC with or without stromal cell-derived factor 1α promotes functional repair in the injured rat spinal cord.

Related Articles

Local delivery of chondroitinase ABC with or without stromal cell-derived factor 1α promotes functional repair in the injured rat spinal cord.

Biomaterials. 2017 Apr 18;134:13-21

Authors: Pakulska MM, Tator CH, Shoichet MS

Abstract
Traumatic spinal cord injury (SCI) is a devastating event for which functional recovery remains elusive. Due to the complex nature of SCI pathology, a combination treatment strategy will likely be required for success. We hypothesized that tissue and functional repair would be achieved in a rat model of impact-compression SCI by combining degradation of the glial scar, using chondroitinase ABC (ChABC), with recruitment of endogenous neural precursor cells (NPCs), using stromal cell-derived factor 1α (SDF). To test this hypothesis, we designed a crosslinked methylcellulose hydrogel (XMC) for minimally invasive, localized, and sustained intrathecal drug delivery. ChABC was released from XMC using protein-peptide affinity interactions while SDF was delivered by electrostatic affinity interactions from polymeric nanoparticles embedded in XMC. Rats with SCI were treated acutely with a combination of SDF and ChABC, SDF alone, ChABC alone, or vehicle alone, and compared to injury only. Treatment with ChABC, both alone and in combination with SDF, resulted in faster and more sustained behavioural improvement over time than other groups. The significantly reduced chondroitin sulfate proteoglycan levels and greater distribution of NPCs throughout the spinal cord tissue with ChABC delivery, both alone and in combination with SDF, may explain the improved locomotor function. Treatment with SDF alone had no apparent effect on NPC number or distribution nor synergistic effect with ChABC delivery. Thus, in this model of SCI, tissue and functional repair is attributed to ChABC.

PMID: 28453954 [PubMed - as supplied by publisher]



▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄

Peptide-MHC-based nanomedicines for autoimmunity function as T-cell receptor microclustering devices.

Peptide-MHC-based nanomedicines for autoimmunity function as T-cell receptor microclustering devices.

Nat Nanotechnol. 2017 Apr 24;:

Authors: Singha S, Shao K, Yang Y, Clemente-Casares X, Solé P, Clemente A, Blanco J, Dai Q, Song F, Liu SW, Yamanouchi J, Umeshappa CS, Nanjundappa RH, Detampel P, Amrein M, Fandos C, Tanguay R, Newbigging S, Serra P, Khadra A, Chan WCW, Santamaria P

Abstract
We have shown that nanoparticles (NPs) can be used as ligand-multimerization platforms to activate specific cellular receptors in vivo. Nanoparticles coated with autoimmune disease-relevant peptide-major histocompatibility complexes (pMHC) blunted autoimmune responses by triggering the differentiation and expansion of antigen-specific regulatory T cells in vivo. Here, we define the engineering principles impacting biological activity, detail a synthesis process yielding safe and stable compounds, and visualize how these nanomedicines interact with cognate T cells. We find that the triggering properties of pMHC-NPs are a function of pMHC intermolecular distance and involve the sustained assembly of large antigen receptor microclusters on murine and human cognate T cells. These compounds show no off-target toxicity in zebrafish embryos, do not cause haematological, biochemical or histological abnormalities, and are rapidly captured by phagocytes or processed by the hepatobiliary system. This work lays the groundwork for the design of ligand-based NP formulations to re-program in vivo cellular responses using nanotechnology.

PMID: 28436959 [PubMed - as supplied by publisher]



▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄

Automated analysis of high-content microscopy data with deep learning.

Related Articles

Automated analysis of high-content microscopy data with deep learning.

Mol Syst Biol. 2017 Apr 18;13(4):924

Authors: Kraus OZ, Grys BT, Ba J, Chong Y, Frey BJ, Boone C, Andrews BJ

Abstract
Existing computational pipelines for quantitative analysis of high-content microscopy data rely on traditional machine learning approaches that fail to accurately classify more than a single dataset without substantial tuning and training, requiring extensive analysis. Here, we demonstrate that the application of deep learning to biological image data can overcome the pitfalls associated with conventional machine learning classifiers. Using a deep convolutional neural network (DeepLoc) to analyze yeast cell images, we show improved performance over traditional approaches in the automated classification of protein subcellular localization. We also demonstrate the ability of DeepLoc to classify highly divergent image sets, including images of pheromone-arrested cells with abnormal cellular morphology, as well as images generated in different genetic backgrounds and in different laboratories. We offer an open-source implementation that enables updating DeepLoc on new microscopy datasets. This study highlights deep learning as an important tool for the expedited analysis of high-content microscopy data.

PMID: 28420678 [PubMed - in process]



▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄

Intratumoral Heterogeneity: Pathways to Treatment Resistance and Relapse in Human Glioblastoma.

Intratumoral Heterogeneity: Pathways to Treatment Resistance and Relapse in Human Glioblastoma.

Ann Oncol. 2017 Apr 12;:

Authors: Qazi MA, Vora P, Venugopal C, Sidhu SS, Moffat J, Swanton C, Singh SK

Abstract
Intratumoral heterogeneity (ITH) has increasingly being described for multiple cancers as the root cause of therapy resistance. Recent studies have started to explore the scope of ITH in glioblastoma (GBM), a highly aggressive and fatal form of brain tumor, to explain its inevitable therapy resistance and disease relapse. In this review, we detail the emerging data that explores the extensive genetic, cellular and functional ITH present in GBM. We discuss current experimental models of human GBM recurrence and suggest harnessing new technologies (CRISPR-Cas9 screening, CyTOF, cellular barcoding, single cell analysis) to delineate GBM ITH and identify treatment-refractory cell populations, thus opening new therapeutic windows. We will also explore why current therapeutics have failed in clinical trials and how ITH can inform us on developing empiric therapies for the treatment of recurrent GBM.

PMID: 28407030 [PubMed - as supplied by publisher]



▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄

Spatial heterogeneity in medulloblastoma.

Spatial heterogeneity in medulloblastoma.

Nat Genet. 2017 Apr 10;:

Authors: Morrissy AS, Cavalli FM, Remke M, Ramaswamy V, Shih DJ, Holgado BL, Farooq H, Donovan LK, Garzia L, Agnihotri S, Kiehna EN, Mercier E, Mayoh C, Papillon-Cavanagh S, Nikbakht H, Gayden T, Torchia J, Picard D, Merino DM, Vladoiu M, Luu B, Wu X, Daniels C, Horswell S, Thompson YY, Hovestadt V, Northcott PA, Jones DT, Peacock J, Wang X, Mack SC, Reimand J, Albrecht S, Fontebasso AM, Thiessen N, Li Y, Schein JE, Lee D, Carlsen R, Mayo M, Tse K, Tam A, Dhalla N, Ally A, Chuah E, Cheng Y, Plettner P, Li HI, Corbett RD, Wong T, Long W, Loukides J, Buczkowicz P, Hawkins CE, Tabori U, Rood BR, Myseros JS, Packer RJ, Korshunov A, Lichter P, Kool M, Pfister SM, Schüller U, Dirks P, Huang A, Bouffet E, Rutka JT, Bader GD, Swanton C, Ma Y, Moore RA, Mungall AJ, Majewski J, Jones SJ, Das S, Malkin D, Jabado N, Marra MA, Taylor MD

Abstract
Spatial heterogeneity of transcriptional and genetic markers between physically isolated biopsies of a single tumor poses major barriers to the identification of biomarkers and the development of targeted therapies that will be effective against the entire tumor. We analyzed the spatial heterogeneity of multiregional biopsies from 35 patients, using a combination of transcriptomic and genomic profiles. Medulloblastomas (MBs), but not high-grade gliomas (HGGs), demonstrated spatially homogeneous transcriptomes, which allowed for accurate subgrouping of tumors from a single biopsy. Conversely, somatic mutations that affect genes suitable for targeted therapeutics demonstrated high levels of spatial heterogeneity in MB, malignant glioma, and renal cell carcinoma (RCC). Actionable targets found in a single MB biopsy were seldom clonal across the entire tumor, which brings the efficacy of monotherapies against a single target into question. Clinical trials of targeted therapies for MB should first ensure the spatially ubiquitous nature of the target mutation.

PMID: 28394352 [PubMed - as supplied by publisher]



▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄

Progenitor T-cell differentiation from hematopoietic stem cells using Delta-like-4 and VCAM-1.

Progenitor T-cell differentiation from hematopoietic stem cells using Delta-like-4 and VCAM-1.

Nat Methods. 2017 Apr 10;:

Authors: Shukla S, Langley MA, Singh J, Edgar JM, Mohtashami M, Zúñiga-Pflücker JC, Zandstra PW

Abstract
The molecular and cellular signals that guide T-cell development from hematopoietic stem and progenitor cells (HSPCs) remain poorly understood. The thymic microenvironment integrates multiple niche molecules to potentiate T-cell development in vivo. Recapitulating these signals in vitro in a stromal cell-free system has been challenging and limits T-cell generation technologies. Here, we describe a fully defined engineered in vitro niche capable of guiding T-lineage development from HSPCs. Synergistic interactions between Notch ligand Delta-like 4 and vascular cell adhesion molecule 1 (VCAM-1) were leveraged to enhance Notch signaling and progenitor T-cell differentiation rates. The engineered thymus-like niche enables in vitro production of mouse Sca-1(+)cKit(+) and human CD34(+) HSPC-derived CD7(+) progenitor T-cells capable of in vivo thymus colonization and maturation into cytokine-producing CD3(+) T-cells. This engineered thymic-like niche provides a platform for in vitro analysis of human T-cell development as well as clinical-scale cell production for future development of immunotherapeutic applications.

PMID: 28394335 [PubMed - as supplied by publisher]



▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄

The novel nematicide wact-86 interacts with aldicarb to kill nematodes.

Read Full Article on External Site Read Full Article on External Site Related Articles

The novel nematicide wact-86 interacts with aldicarb to kill nematodes.

PLoS Negl Trop Dis. 2017 Apr;11(4):e0005502

Authors: Burns AR, Bagg R, Yeo M, Luciani GM, Schertzberg M, Fraser AG, Roy PJ

Abstract
Parasitic nematodes negatively impact human and animal health worldwide. The market withdrawal of nematicidal agents due to unfavourable toxicities has limited the available treatment options. In principle, co-administering nematicides at lower doses along with molecules that potentiate their activity could mitigate adverse toxicities without compromising efficacy. Here, we screened for new small molecules that interact with aldicarb, which is a highly effective treatment for plant-parasitic nematodes whose toxicity hampers its utility. From our collection of 638 worm-bioactive compounds, we identified 20 molecules that interact positively with aldicarb to either kill or arrest the growth of the model nematode Caenorhabditis elegans. We investigated the mechanism of interaction between aldicarb and one of these novel nematicides called wact-86. We found that the carboxylesterase enzyme GES-1 hydrolyzes wact-86, and that the interaction is manifested by aldicarb's inhibition of wact-86's metabolism by GES-1. This work demonstrates the utility of C. elegans as a platform to search for new molecules that can positively interact with industrial nematicides, and provides proof-of-concept for prospective discovery efforts.

PMID: 28379972 [PubMed - indexed for MEDLINE]



▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄

Upon the Shoulders of Giants: Open-Source Hardware and Software in Analytical Chemistry.

Upon the Shoulders of Giants: Open-Source Hardware and Software in Analytical Chemistry.

Anal Chem. 2017 Apr 05;:

Authors: Dryden MD, Fobel R, Fobel C, Wheeler AR

Abstract
Isaac Newton famously observed that "if I have seen further it is by standing on the shoulders of giants." We propose that this sentiment is a powerful motivation for the "open-source" movement in scientific research, in which creators provide everything needed to replicate a given project online, as well as providing explicit permission for users to use, improve, and share it with others. Here, we write to introduce analytical chemists who are new to the open-source movement to best practices and concepts in this area and to survey the state of open-source research in analytical chemistry. We conclude by considering two examples of open-source projects from our own research group, with the hope that a description of the process, motivations, and results will provide a convincing argument about the benefits that this movement brings to both creators and users.

PMID: 28379683 [PubMed - as supplied by publisher]



▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄

An RRM-ZnF RNA recognition module targets RBM10 to exonic sequences to promote exon exclusion.

An RRM-ZnF RNA recognition module targets RBM10 to exonic sequences to promote exon exclusion.

Nucleic Acids Res. 2017 Apr 04;:

Authors: Collins KM, Kainov YA, Christodolou E, Ray D, Morris Q, Hughes T, Taylor IA, Makeyev EV, Ramos A

Abstract
RBM10 is an RNA-binding protein that plays an essential role in development and is frequently mutated in the context of human disease. RBM10 recognizes a diverse set of RNA motifs in introns and exons and regulates alternative splicing. However, the molecular mechanisms underlying this seemingly relaxed sequence specificity are not understood and functional studies have focused on 3΄ intronic sites only. Here, we dissect the RNA code recognized by RBM10 and relate it to the splicing regulatory function of this protein. We show that a two-domain RRM1-ZnF unit recognizes a GGA-centered motif enriched in RBM10 exonic sites with high affinity and specificity and test that the interaction with these exonic sequences promotes exon skipping. Importantly, a second RRM domain (RRM2) of RBM10 recognizes a C-rich sequence, which explains its known interaction with the intronic 3΄ site of NUMB exon 9 contributing to regulation of the Notch pathway in cancer. Together, these findings explain RBM10's broad RNA specificity and suggest that RBM10 functions as a splicing regulator using two RNA-binding units with different specificities to promote exon skipping.

PMID: 28379442 [PubMed - as supplied by publisher]



▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄ ▄

Back to Top