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  1. Article: Mobile circular DNAs regulating memory and communication in CNS neurons.

    Smalheiser, Neil R

    Frontiers in molecular neuroscience

    2023  Volume 16, Page(s) 1304667

    Abstract: Stimuli that stimulate neurons elicit transcription of immediate-early genes, a process which requires local sites of chromosomal DNA to form double-strand breaks (DSBs) generated by topoisomerase IIb within a few minutes, followed by repair within a few ...

    Abstract Stimuli that stimulate neurons elicit transcription of immediate-early genes, a process which requires local sites of chromosomal DNA to form double-strand breaks (DSBs) generated by topoisomerase IIb within a few minutes, followed by repair within a few hours. Wakefulness, exploring a novel environment, and contextual fear conditioning also elicit turn-on of synaptic genes requiring DSBs and repair. It has been reported (in non-neuronal cells) that extrachromosomal circular DNA can form at DSBs as the sites are repaired. I propose that activated neurons may generate extrachromosomal circular DNAs during repair at DSB sites, thus creating long-lasting "markers" of that activity pattern which contain sequences from their sites of origin and which regulate long-term gene expression. Although the population of extrachromosomal DNAs is diverse and overall associated with pathology, a subclass of small circular DNAs ("microDNAs," ∼100-400 bases long), largely derives from unique genomic sequences and has attractive features to act as stable, mobile circular DNAs to regulate gene expression in a sequence-specific manner. Circular DNAs can be templates for the transcription of RNAs, particularly small inhibitory siRNAs, circular RNAs and other non-coding RNAs that interact with microRNAs. These may regulate translation and transcription of other genes involved in synaptic plasticity, learning and memory. Another possible fate for mobile DNAs is to be inserted stably into chromosomes after new DSB sites are generated in response to subsequent activation events. Thus, the insertions of mobile DNAs into activity-induced genes may tend to inactivate them and aid in homeostatic regulation to avoid over-excitation, as well as providing a "counter" for a neuron's activation history. Moreover, activated neurons release secretory exosomes that can be transferred to recipient cells to regulate their gene expression. Mobile DNAs may be packaged into exosomes, released in an activity-dependent manner, and transferred to recipient cells, where they may be templates for regulatory RNAs and possibly incorporated into chromosomes. Finally, aging and neurodegenerative diseases (including Alzheimer's disease) are also associated with an increase in DSBs in neurons. It will become important in the future to assess how pathology-associated DSBs may relate to activity-induced mobile DNAs, and whether the latter may potentially contribute to pathogenesis.
    Language English
    Publishing date 2023-12-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2452967-9
    ISSN 1662-5099
    ISSN 1662-5099
    DOI 10.3389/fnmol.2023.1304667
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Editorial: Emerging areas in literature-based discovery.

    Sebastian, Yakub / Smalheiser, Neil R

    Frontiers in research metrics and analytics

    2023  Volume 8, Page(s) 1122547

    Language English
    Publishing date 2023-01-19
    Publishing country Switzerland
    Document type Editorial
    ISSN 2504-0537
    ISSN (online) 2504-0537
    DOI 10.3389/frma.2023.1122547
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Ketamine: A Neglected Therapy for Alzheimer Disease.

    Smalheiser, Neil R

    Frontiers in aging neuroscience

    2019  Volume 11, Page(s) 186

    Language English
    Publishing date 2019-07-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2558898-9
    ISSN 1663-4365
    ISSN 1663-4365
    DOI 10.3389/fnagi.2019.00186
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: A Neglected Link Between the Psychoactive Effects of Dietary Ingredients and Consciousness-Altering Drugs.

    Smalheiser, Neil R

    Frontiers in psychiatry

    2019  Volume 10, Page(s) 591

    Language English
    Publishing date 2019-08-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564218-2
    ISSN 1664-0640
    ISSN 1664-0640
    DOI 10.3389/fpsyt.2019.00591
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A web-based tool for automatically linking clinical trials to their publications.

    Smalheiser, Neil R / Holt, Arthur W

    Journal of the American Medical Informatics Association : JAMIA

    2022  Volume 29, Issue 5, Page(s) 822–830

    Abstract: Objective: Evidence synthesis teams, physicians, policy makers, and patients and their families all have an interest in following the outcomes of clinical trials and would benefit from being able to evaluate both the results posted in trial registries ... ...

    Abstract Objective: Evidence synthesis teams, physicians, policy makers, and patients and their families all have an interest in following the outcomes of clinical trials and would benefit from being able to evaluate both the results posted in trial registries and in the publications that arise from them. Manual searching for publications arising from a given trial is a laborious and uncertain process. We sought to create a statistical model to automatically identify PubMed articles likely to report clinical outcome results from each registered trial in ClinicalTrials.gov.
    Materials and methods: A machine learning-based model was trained on pairs (publications known to be linked to specific registered trials). Multiple features were constructed based on the degree of matching between the PubMed article metadata and specific fields of the trial registry, as well as matching with the set of publications already known to be linked to that trial.
    Results: Evaluation of the model using known linked articles as gold standard showed that they tend to be top ranked (median best rank = 1.0), and 91% of them are ranked in the top 10.
    Discussion: Based on this model, we have created a free, public web-based tool that, given any registered trial in ClinicalTrials.gov, presents a ranked list of the PubMed articles in order of estimated probability that they report clinical outcome data from that trial. The tool should greatly facilitate studies of trial outcome results and their relation to the original trial designs.
    MeSH term(s) Clinical Trials as Topic ; Humans ; Internet ; Machine Learning ; PubMed ; Registries ; Research Report
    Language English
    Publishing date 2022-06-03
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1205156-1
    ISSN 1527-974X ; 1067-5027
    ISSN (online) 1527-974X
    ISSN 1067-5027
    DOI 10.1093/jamia/ocab290
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Mining Clinical Case Reports to Identify New Lines of Investigation in Alzheimer's Disease: The Curious Case of DNase I.

    Smalheiser, Neil R

    Journal of Alzheimer's disease reports

    2019  Volume 3, Issue 1, Page(s) 71–76

    Abstract: Mining the case report literature identified an intriguing, yet neglected finding: Deoxyribonuclease I (DNase I) as a possible treatment for Alzheimer's disease. This finding is speculative, both because it is based on one patient, and because the ... ...

    Abstract Mining the case report literature identified an intriguing, yet neglected finding: Deoxyribonuclease I (DNase I) as a possible treatment for Alzheimer's disease. This finding is speculative, both because it is based on one patient, and because the underlying mechanism(s) of action remain obscure. However, further literature review revealed that there are several plausible mechanisms by which DNase I might affect the course of Alzheimer's disease. Given that DNase I is an FDA-approved drug, with extensive studies in both animals and man in the context of other diseases, I suggest that investigation of DNAse I in Alzheimer's disease is worthwhile.
    Language English
    Publishing date 2019-03-22
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2542-4823
    ISSN (online) 2542-4823
    DOI 10.3233/ADR-190100
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Rediscovering Don Swanson: the Past, Present and Future of Literature-Based Discovery.

    Smalheiser, Neil R

    Journal of data and information science (Warsaw, Poland)

    2017  Volume 2, Issue 4, Page(s) 43–64

    Abstract: The late Don R. Swanson was well appreciated during his lifetime as Dean of the Graduate ...

    Abstract The late Don R. Swanson was well appreciated during his lifetime as Dean of the Graduate Library School at University of Chicago, as winner of the American Society for Information Science Award of Merit for 2000, and as author of many seminal articles. In this informal essay, I will give my personal perspective on Don's contributions to science, and outline some current and future directions in literature-based discovery that are rooted in concepts that he developed.
    Language English
    Publishing date 2017-07-28
    Publishing country Poland
    Document type Journal Article
    ISSN 2543-683X
    ISSN (online) 2543-683X
    DOI 10.1515/jdis-2017-0019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: New improved Aggregator: predicting which clinical trial articles derive from the same registered clinical trial.

    Smalheiser, Neil R / Holt, Arthur W

    JAMIA open

    2020  Volume 3, Issue 3, Page(s) 338–341

    Abstract: Objectives: To identify separate publications that report outcomes from the same underlying clinical trial, in order to avoid over-counting these as independent pieces of evidence.: Materials and methods: We updated our previous model by creating ... ...

    Abstract Objectives: To identify separate publications that report outcomes from the same underlying clinical trial, in order to avoid over-counting these as independent pieces of evidence.
    Materials and methods: We updated our previous model by creating larger, more recent, and more diverse positive and negative training sets consisting of article pairs that were (or not) linked to the same ClinicalTrials.gov trial registry number. Features were extracted from PubMed metadata; pairwise similarity scores were modeled using logistic regression and used to form clusters of articles that are likely to arise from the same registered clinical trial.
    Results: Articles from the same trial were identified with high accuracy (F1 = 0.859), nominally better than the previous model (F1 = 0.843). Predicted clusters showed a low error rate of splitting of 8-11% (ie, when 2 articles belonged to the same trial but were assigned to different clusters). Performance was similar whether only randomized controlled trial articles or a more diverse set of clinical trial articles were processed.
    Discussion: Metadata are surprisingly accurate in predicting when 2 articles derive from the same underlying clinical trial.
    Conclusion: We have continued confidence in the Aggregator tool which can be accessed publicly at http://arrowsmith.psych.uic.edu/cgi-bin/arrowsmith_uic/RCT_Tagger.cgi.
    Language English
    Publishing date 2020-10-28
    Publishing country United States
    Document type Journal Article
    ISSN 2574-2531
    ISSN (online) 2574-2531
    DOI 10.1093/jamiaopen/ooaa042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Editorial: Coronavirus Research Landscape: Resources, Utilities, and Analytic Studies.

    Chen, Chaomei / Chavalarias, David / Smalheiser, Neil R / Wolfram, Dietmar

    Frontiers in research metrics and analytics

    2021  Volume 6, Page(s) 712672

    Language English
    Publishing date 2021-06-25
    Publishing country Switzerland
    Document type Editorial
    ISSN 2504-0537
    ISSN (online) 2504-0537
    DOI 10.3389/frma.2021.712672
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Anne O'Tate: Value-added PubMed search engine for analysis and text mining.

    Smalheiser, Neil R / Fragnito, Dean P / Tirk, Eric E

    PloS one

    2021  Volume 16, Issue 3, Page(s) e0248335

    Abstract: Over a decade ago, we introduced Anne O'Tate, a free, public web-based tool http://arrowsmith.psych.uic.edu/cgi-bin/arrowsmith_uic/AnneOTate.cgi to support user-driven summarization, drill-down and mining of search results from PubMed, the leading search ...

    Abstract Over a decade ago, we introduced Anne O'Tate, a free, public web-based tool http://arrowsmith.psych.uic.edu/cgi-bin/arrowsmith_uic/AnneOTate.cgi to support user-driven summarization, drill-down and mining of search results from PubMed, the leading search engine for biomedical literature. A set of hotlinked buttons allows the user to sort and rank retrieved articles according to important words in titles and abstracts; topics; author names; affiliations; journal names; publication year; and clustered by topic. Any result can be further mined by choosing any other button, and small search results can be expanded to include related articles. It has been deployed continuously, serving a wide range of biomedical users and needs, and over time has also served as a platform to support the creation of new tools that address additional needs. Here we describe the current, greatly expanded implementation of Anne O'Tate, which has added additional buttons to provide new functionalities: We now allow users to sort and rank search results by important phrases contained in titles and abstracts; the number of authors listed on the article; and pairs of topics that co-occur significantly more than chance. We also display articles according to NLM-indexed publication types, as well as according to 50 different publication types and study designs as predicted by a novel machine learning-based model. Furthermore, users can import search results into two new tools: e) Mine the Gap!, which identifies pairs of topics that are under-represented within set of the search results, and f) Citation Cloud, which for any given article, allows users to visualize the set of articles that cite it; that are cited by it; that are co-cited with it; and that are bibliographically coupled to it. We invite the scientific community to explore how Anne O'Tate can assist in analyzing biomedical literature, in a variety of use cases.
    MeSH term(s) Abstracting and Indexing ; Data Mining/trends ; Humans ; PubMed/trends ; Search Engine ; Software
    Language English
    Publishing date 2021-03-08
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0248335
    Database MEDical Literature Analysis and Retrieval System OnLINE

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