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  1. Article: Isolation, characterization, and application of a novel polyvalent lytic phage STWB21 against typhoidal and nontyphoidal

    Mondal, Payel / Mallick, Bani / Dutta, Moumita / Dutta, Shanta

    Frontiers in microbiology

    2022  Volume 13, Page(s) 980025

    Abstract: ... ...

    Abstract Salmonella
    Language English
    Publishing date 2022-08-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2022.980025
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  2. Article ; Online: Proteomic analysis and protein structure prediction of Shigella phage Sfk20 based on a comparative study using structure prediction approaches.

    Mallick, Bani / Dutta, Aninda / Mondal, Payel / Dutta, Moumita

    Proteins

    2023  Volume 92, Issue 5, Page(s) 637–648

    Abstract: Bacteriophages are the natural predators of bacteria and are available abundantly everywhere in nature. Lytic phages can specifically infect their bacterial host (through attachment to the receptor) and use their host replication machinery to replicate ... ...

    Abstract Bacteriophages are the natural predators of bacteria and are available abundantly everywhere in nature. Lytic phages can specifically infect their bacterial host (through attachment to the receptor) and use their host replication machinery to replicate rapidly, a feature that enables them to kill a disease-causing bacteria. Hence, phage attachment to the host bacteria is the first important step of the infection process. It is reported in this study that the receptor could be an LPS which is responsible for the attachment of the Sfk20 phage to its host (Shigella flexneri 2a). Phage Sfk20 bacteriolytic activity was examined for preliminary optimization of phage titer. The phage Sfk20 viability at different saline conditions was conducted. The LC-MS/MS technique used here for detecting and identifying 40 Sfk20 phage proteins helped us to get an initial understanding of the structural landscape of phage Sfk20. From the identified proteins, six structurally significant proteins were selected for structure prediction using two neural network systems: AlphaFold2 and ESMFold, and one homology modeling software: Phyre2. Later the performance of these modeling systems was compared using various metrics. We conclude from the available and generated information that AlphaFold2 and Phyre2 perform better than ESMFold for predicting Sfk20 phage protein structures.
    MeSH term(s) Bacteriophages/genetics ; Proteomics ; Chromatography, Liquid ; Tandem Mass Spectrometry ; Shigella ; Bacteria
    Language English
    Publishing date 2023-12-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 806683-8
    ISSN 1097-0134 ; 0887-3585
    ISSN (online) 1097-0134
    ISSN 0887-3585
    DOI 10.1002/prot.26653
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2291: Show issues Location:
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  3. Article ; Online: Retraction: Tracking COVID-19 vaccine hesitancy and logistical challenges: A machine learning approach.

    Dutta, Shantanu / Kumar, Ashok / Dutta, Moumita / Walsh, Caolan

    PloS one

    2021  Volume 16, Issue 7, Page(s) e0255347

    Language English
    Publishing date 2021-07-22
    Publishing country United States
    Document type Retraction of Publication
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0255347
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  4. Article ; Online: Molecular and cellular pathophysiology of circulating cardiomyocyte-specific cell free DNA (cfDNA)

    Abhi Dutta / Moumita Das / Ankita Ghosh / Santanu Rana

    Genes and Diseases, Vol 10, Iss 3, Pp 948-

    Biomarkers of heart failure and potential therapeutic targets

    2023  Volume 959

    Abstract: Pathological cardiac damage during heart failure is associated with cell death and damage associated molecular patterns (DAMPs) release which triggers a viscous cycle of sterile inflammation to mediate maladaptive cardiac tissue remodelling during the ... ...

    Abstract Pathological cardiac damage during heart failure is associated with cell death and damage associated molecular patterns (DAMPs) release which triggers a viscous cycle of sterile inflammation to mediate maladaptive cardiac tissue remodelling during the progression to heart failure. DAMPs like cytokines, chemokines, and nuclear or mitochondrial genomic fragments are released in the pathological myocardium. Interestingly, circulating or cytosolic DNA fragments can play a role in the disease by interaction with nucleic acid sensors expressed in cardiomyocyte and non-myocyte neighbouring cells. The circulating cell free DNA (cfDNA) fragments have been clinically reported as markers for various diseases including cardiovascular pathophysiology. Such cfDNA within the DAMP pool can mediate intra- and inter-cellular signalling cascade to upregulate transcriptional expression of inflammatory mediators and trigger oxidative stress within cells. The cellular role of such genomic equivalents varying with chronic or acute stress might be correlated with the cell death forms encountered in myocardium during disease progression. Thus, cfDNA can be phenotypically correlated as a critical player towards upregulation of pathological processes like interstitial fibrosis, cardiomyocyte contractile dysfunction and cell death. Herein, we review the association of cfDNA with heart failure and analyse their potential usage as novel and effective therapeutic targets towards augmentation of cardiac function.
    Keywords Apoptosis ; Circulating DNA ; Fibrosis ; Heart failure ; Inflammation ; Nucleic acid receptor ; Medicine (General) ; R5-920 ; Genetics ; QH426-470
    Subject code 610
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Using 10-K text to gauge COVID-related corporate disclosure.

    Dutta, Shantanu / Kumar, Ashok / Pant, Pushpesh / Walsh, Caolan / Dutta, Moumita

    PloS one

    2023  Volume 18, Issue 3, Page(s) e0283138

    Abstract: During the pandemic era, COVID-related disclosure has become quite critical for shareholders and other market participants to understand the uncertainties and challenges associated with a firm's operation. However, there is no well-grounded and ... ...

    Abstract During the pandemic era, COVID-related disclosure has become quite critical for shareholders and other market participants to understand the uncertainties and challenges associated with a firm's operation. However, there is no well-grounded and systematic measure to gauge the intensity of COVID-related disclosure and its plausible impact. Therefore, this study develops and validates various COVID-related disclosure measures. More specifically, using a sample of publicly listed U.S. firms and applying natural language processing (NLP) on 10-K reports, we have developed two types of COVID dictionaries (or COVID-related disclosure measurement tools): (a) overall COVID dictionary (count of all COVID-related words/phrases) and (b) contextual COVID-dictionary (count of COVID related words/phrases preceded or followed by positive, negative tones, or financial constraints words). Subsequently, we have validated both types of COVID dictionaries by investigating their association with corporate liquidity events (e.g., dividend payment, dividend change). We confirm that the overall COVID dictionary effectively predicts a firm's liquidity event. We find similar results for contextual COVID dictionaries with a negative spin (i.e., COVID disclosures with a negative tone or an indication of financial constraints). Our results further show that better-governed firms (e.g., greater board independence, and more female directors) tend to have more COVID-related disclosures, despite the fact that more COVID-related disclosures suppress a firm's market-based stock performance (e.g. Tobin's Q). Our results suggest that better-governed firms prefer greater transparency, even if it may hurt their market performance in the short run.
    MeSH term(s) Female ; Humans ; Disclosure ; COVID-19/epidemiology ; Organizations
    Language English
    Publishing date 2023-03-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0283138
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  6. Article ; Online: Using 10-K text to gauge COVID-related corporate disclosure.

    Shantanu Dutta / Ashok Kumar / Pushpesh Pant / Caolan Walsh / Moumita Dutta

    PLoS ONE, Vol 18, Iss 3, p e

    2023  Volume 0283138

    Abstract: During the pandemic era, COVID-related disclosure has become quite critical for shareholders and other market participants to understand the uncertainties and challenges associated with a firm's operation. However, there is no well-grounded and ... ...

    Abstract During the pandemic era, COVID-related disclosure has become quite critical for shareholders and other market participants to understand the uncertainties and challenges associated with a firm's operation. However, there is no well-grounded and systematic measure to gauge the intensity of COVID-related disclosure and its plausible impact. Therefore, this study develops and validates various COVID-related disclosure measures. More specifically, using a sample of publicly listed U.S. firms and applying natural language processing (NLP) on 10-K reports, we have developed two types of COVID dictionaries (or COVID-related disclosure measurement tools): (a) overall COVID dictionary (count of all COVID-related words/phrases) and (b) contextual COVID-dictionary (count of COVID related words/phrases preceded or followed by positive, negative tones, or financial constraints words). Subsequently, we have validated both types of COVID dictionaries by investigating their association with corporate liquidity events (e.g., dividend payment, dividend change). We confirm that the overall COVID dictionary effectively predicts a firm's liquidity event. We find similar results for contextual COVID dictionaries with a negative spin (i.e., COVID disclosures with a negative tone or an indication of financial constraints). Our results further show that better-governed firms (e.g., greater board independence, and more female directors) tend to have more COVID-related disclosures, despite the fact that more COVID-related disclosures suppress a firm's market-based stock performance (e.g. Tobin's Q). Our results suggest that better-governed firms prefer greater transparency, even if it may hurt their market performance in the short run.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Tracking COVID-19 vaccine hesitancy and logistical challenges

    Shantanu Dutta / Ashok Kumar / Moumita Dutta / Caolan Walsh

    PLoS ONE, Vol 16, Iss 6, p e

    A machine learning approach.

    2021  Volume 0252332

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Retraction

    Shantanu Dutta / Ashok Kumar / Moumita Dutta / Caolan Walsh

    PLoS ONE, Vol 16, Iss 7, p e

    Tracking COVID-19 vaccine hesitancy and logistical challenges: A machine learning approach.

    2021  Volume 0255347

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

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  9. Article ; Online: Tracking COVID-19 vaccine hesitancy and logistical challenges: A machine learning approach.

    Dutta, Shantanu / Kumar, Ashok / Dutta, Moumita / Walsh, Caolan

    publication RETRACTED

    PloS one

    2021  Volume 16, Issue 6, Page(s) e0252332

    MeSH term(s) COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19/psychology ; COVID-19 Vaccines/administration & dosage ; COVID-19 Vaccines/immunology ; Humans ; Machine Learning ; SARS-CoV-2/immunology ; SARS-CoV-2/isolation & purification ; United States/epidemiology ; Vaccination/methods ; Vaccination/psychology ; Vaccination Refusal/psychology
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2021-06-02
    Publishing country United States
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0252332
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  10. Article ; Online: Bacterial ghost cell based bivalent candidate vaccine against Salmonella Typhi and Salmonella Paratyphi A: A prophylactic study in BALB/c mice.

    Halder, Prolay / Maiti, Suhrid / Banerjee, Soumalya / Das, Sanjib / Dutta, Moumita / Dutta, Shanta / Koley, Hemanta

    Vaccine

    2023  Volume 41, Issue 41, Page(s) 5994–6007

    Abstract: Typhoid and emerging paratyphoid fever are a severe enteric disease worldwide with high morbidity and mortality. Licensed typhoid vaccines are in the market, but no paratyphoid vaccine is currently available. In the present study we developed a bivalent ... ...

    Abstract Typhoid and emerging paratyphoid fever are a severe enteric disease worldwide with high morbidity and mortality. Licensed typhoid vaccines are in the market, but no paratyphoid vaccine is currently available. In the present study we developed a bivalent vaccine against Salmonella Typhi and Paratyphi A using a bacterial ghost platform. Bacterial ghost cells (BGs) are bacteria-derived cell membranes without cytoplasmic contents that retain their cellular morphology, including all cell surface features. Furthermore, BGs have inherent adjuvant properties that promote an enhanced humoral and cellular immune reaction to the target antigen. Sodium hydroxide was used to prepare ghost cells of Salmonella Typhi and Paratyphi A. The bacterial ghost cells were characterised using electron microscopy. Then BALB/c mice were immunized three times (0
    MeSH term(s) Mice ; Animals ; Salmonella typhi ; Salmonella paratyphi A ; Mice, Inbred BALB C ; Typhoid Fever/prevention & control ; Typhoid-Paratyphoid Vaccines
    Chemical Substances Typhoid-Paratyphoid Vaccines
    Language English
    Publishing date 2023-08-23
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 605674-x
    ISSN 1873-2518 ; 0264-410X
    ISSN (online) 1873-2518
    ISSN 0264-410X
    DOI 10.1016/j.vaccine.2023.08.049
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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    Jg. 1995 - 2021: Lesesall (1.OG)
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    Zs.MO 458: Show issues

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