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1.
Front Mol Biosci ; 10: 1326933, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-38455359

RESUMO

The hierarchical structure of eukaryotic genomes has regulatory layers, one of them being epigenetic "indexing" of the genome that leads to cell-type-specific patterns of gene expression. By establishing loops and defining chromatin domains, cells can achieve coordinated control over multi-locus segments of the genome. This is thought to be achieved using scaffold/matrix attachment regions (S/MARs) that establish structural and functional loops and topologically associating domains (TADs) that define a self-interacting region of the genome. Large-scale genome-wide mapping of S/MARs has begun to uncover these aspects of genome organization. A recent genome-wide study showed the association of transposable elements (TEs) with a significant fraction of S/MARs, suggesting that the multitude of TE-derived repeats constitute a class of anchorage sites of chromatin loops to nuclear architecture. In this study, we provide an insight that TE-driven dispersal of S/MARs has the potential to restructure the chromosomes by creating novel loops and domains. The combination of TEs and S/MARs, as elements that can hop through the genome along with regulatory capabilities, may provide an active mechanism of genome evolution leading to the emergence of novel features in biological systems. The significance is that a genome-wide study mapping developmental S/MARs reveals an intriguing link between these elements and TEs. This article highlights the potential of the TE-S/MAR combination to drive evolution by restructuring and shaping the genome.

2.
BMC Genomics ; 23(1): 725, 2022 Oct 25.
Artigo em Inglês | MEDLINE | ID: mdl-36284304

RESUMO

BACKGROUND: Eukaryotic genome is compartmentalized into structural and functional domains. One of the concepts of higher order organization of chromatin posits that the DNA is organized in constrained loops that behave as independent functional domains. Nuclear Matrix (NuMat), a ribo-proteinaceous nucleoskeleton, provides the structural basis for this organization. DNA sequences located at base of the loops are known as the Matrix Attachment Regions (MARs). NuMat relates to multiple nuclear processes and is partly cell type specific in composition. It is a biochemically defined structure and several protocols have been used to isolate the NuMat where some of the steps have been critically evaluated. These sequences play an important role in genomic organization it is imperative to know their dynamics during development and differentiation. RESULTS: Here we look into the dynamics of MARs when the preparation process is varied and during embryonic development of D. melanogaster. A subset of MARs termed as "Core-MARs" present abundantly in pericentromeric heterochromatin, are constant unalterable anchor points as they associate with NuMat through embryonic development and are independent of the isolation procedure. Euchromatic MARs are dynamic and reflect the transcriptomic profile of the cell. New MARs are generated by nuclear stabilization, and during development, mostly at paused RNA polymerase II promoters. Paused Pol II MARs depend on RNA transcripts for NuMat association. CONCLUSIONS: Our data reveals the role of MARs in functionally dynamic nucleus and contributes to the current understanding of nuclear architecture in genomic context.


Assuntos
Drosophila melanogaster , Heterocromatina , Animais , Drosophila melanogaster/genética , Drosophila melanogaster/metabolismo , Heterocromatina/metabolismo , RNA Polimerase II/metabolismo , Matriz Nuclear/genética , Matriz Nuclear/química , Matriz Nuclear/metabolismo , Cromatina/genética , Cromatina/metabolismo , DNA/metabolismo , RNA/metabolismo
3.
Ageing Res Rev ; 67: 101264, 2021 05.
Artigo em Inglês | MEDLINE | ID: mdl-33540043

RESUMO

The metazoan nucleus is a highly structured organelle containing several well-defined sub-organelles. It is the largest organelle inside a cell taking up from one tenth to half of entire cell volume. This makes it one of the easiest organelles to identify and study under the microscope. Abnormalities in the nuclear morphology and architecture are commonly observed in an aged and senescent cell. For example, the nuclei enlarge, loose their shape, appear lobulated, harbour nuclear membrane invaginations, carry enlarged/fragmented nucleolus, loose heterochromatin, etc. In this review we discuss about the age-related changes in nuclear features and elaborate upon the molecular reasons driving the change. Many of these changes can be easily imaged under a microscope and analysed in silico. Thus, computational image analysis of nuclear features appears to be a promising tool to evaluate physiological age of a cell and offers to be a legitimate biomarker. It can be used to examine progression of age-related diseases and evaluate therapies.


Assuntos
Envelhecimento , Núcleo Celular , Animais , Senescência Celular , Heterocromatina , Processamento de Imagem Assistida por Computador
4.
Anup Agarwal; Aparna Mukherjee; Gunjan Kumar; Pranab Chatterjee; Tarun Bhatnagar; Pankaj Malhotra; B Latha; Sunita Bundas; Vivek Kumar; Ravi Dosi; Janak Kumar Khambholja; Rosemarie de Souza; Raja Rao Mesipogu; Saurabh Srivastava; Simmi Dube; Kiran Chaudhary; Subash S; S. Anbuselvi Mattuvar K; V Rajendran; A Sundararajaperumal; P Balamanikandan; R S Uma Maheswari; R Jayanthi; S Ragunanthanan; Sudhir Bhandari; Ajeet Singh; Ashok Pal; Anjali Handa; Govind Rankawat; Ketan Kargirwar; Joyce Regi; Darshana Rathod; Edwin Pathrose; Nirankar Bhutaka; Mayur H Patel; Rahul J Verma; Kamal Malukani; Shivani Patel; Apurv Thakur; Satish Joshi; Rashmi Kulkarni; Nilay N Suthar; Nehal M Shah; Hemang M Purohit; Cherry K Shah; Monila N Patel; Saket Shah; Smit H Shah; Tehsim Memon; Vishal R Beriwala; Kusum Jashnani; Fatema Ezzy; Simran Agrawal; Rakesh Bhadade; Atish M N; Tushar Madke; Vikash Kavishwar; Ramesh Waghmare; Nitin Valvi; B Thrilok Chander; A Vinaya Sekhar; Akhilesh Kumar Maurya; K Hemanth; K Nagamani; K Sudha; T Ravi Chandra; K Tushara Rao; J Vyshnavi; Rashmi Upadhyay; Shalini Bahadur; Rambha Pathak; Shikha Seth; Rakesh Gupta; Rita Saxena; Preksha Dwivedi; Reeni Malik; Deepti Chourasia; Jaya Lalwani; UM Sharma; JL Marko; Amit Suri; Vijay Kumar; Rajnish Kaushik; Parul Kodan; Bhabani Prasad Acharya; Kuldeep Kumar Gaur; Anubhav Gupta; Prerna Sachdeva; Shruti Dogra; Aikaj Jindal; M Joseph John; Avtar Singh Dhanju; Ranjana Khetrepal; Neeraj Sharma; Neetu Kukar; Divya Kavita; Rajesh Kumar; Rajesh Mahajan; Gurpreet Singh; Jaspreet Kaur; Raminder Pal Singh; Rajni Bassi; Swapneil Parikh; Om Shrivastav; Jayanthi Shastri; Maherra Desai; Shreevatsa Udupa; Varun A Bafna; Vijay Barge; Rajendra Madane; Sheetal Yadav; Sanjeev Mishra; Archana Bajpayee; M K Garg; G K Bohra; Vijaylakshmi Nag; Puneeth Babu Anne; Mohd Nadeem; Pallavi Singh; Ram Niwas; Niranjan Shiwaji Khaire; Rattiram Sharma; Mini p Singh; Naresh Sachdeva; Suchet Sachdev; Rekha Hans; Vikas Suri; L N Yaddanapudi; PVM Lakshmi; Neha Singh; Divendu Bhushan; Neeraj Kumar; Muralidhar Tambe; Sonali Salvi; Nalini Kadgi; Shashikala Sangle; Leena Nakate; Samir Joshi; Rajesh Karyakarte; Suraj Goyanka; Nimisha Sharma; Nikhil Verma; Asim Das; Monika Bahl; Nitya Wadhwa; Shreepad Bhat; Shweta Deshmukh; Vrushali Wagh; Atul Kulkarni; Tanvi Yardi; Ram S Kalgud; Purushottam Reddy; Kavitha Yevoor; Prashanth Gajula; Vivek Maleyur; Medini S; Mohith HN; Anil Gurtoo; Ritika Sud; Sangeeta Pahuja; Anupam Prakash; Parijat Gogoi; Shailja Shukla; D Himanshu Reddy; Tulika Chandra; Saurabh Pandey; Pradeep Maurya; Ali Wahid; Vivek Kumar; Kamlesh Upadhyay; Nidhi Bhatnagar; Nilima Shah; Mamta Shah; Tarak Patel; Ram Mohan Jaiswal; Ashish Jain; Shweta Sharma; Puneet Rijhwani; Naveen Gupta; Tinkal C Patel; Mahesh G Solu; Jitendra Patel; Yash R Shah; Mayur Jarag; Varsha Godbole; Meenakshi Shah; Rikin Raj; Irfan Nagori; Pramod R Jha; Arti D Shah; Gowtham Yeeli; Archit Jain; Rooppreet Kaur Gill; KV Sreedhar Babu; B Suresh Babu; Alladi Mohan; B Vengamma; K Chandra Sekhar; Srinivasulu Damam; K Narsimhulu; C Aparna; G Baleswari; Ravindranath Reddy K; P Chandrasekhar; Sunil Jodharam Panjwani; Pankaj J Akholkar; Kairavi Parthesh Joshi; Pragnesh H Shah; Manish Barvaliya; Milind Baldi; Ashok Yadav; Manoj Gupta; Nitin Rawat; Dilip Chawda; M Natarajan; M Sintha; David Pradeep Kumar; Fathhur Rabbani; Vrushali Khirid Khadke; Dattatray Patki; Sonali Marathe; Clyde D Souza; Vipul Tadha; Satyam Arora; Devendra Kumar Gupta; Seema Dua; Nitu Chauhan; Ajeet Singh Chahar; Joy John Mammen; Snehil Kumar; Dolly Daniel; Ravindraa Singh; Venkatesh Dhat; Yogesh Agarwal; Sohini Arora; Ashish Pathak; Manju Purohit; Ashish Sharma; Jayashree Sharma; Manisha Madkaikar; Kavita Joshi; Reetika Malik Yadav; Swarupa Bhagwat; Niteen D Karnik; Yojana A Gokhale; Leena Naik; Sangita Margam; Santasabuj Das; Alka Turuk; V Saravana Kumar; K Kanagasabai; R Sabarinathan; Gururaj Deshpande; Sharda Sharma; Rashmi Gunjikar; Anita Shete; Darpan Phagiwala; Chetan Patil; Snehal Shingade; Kajal Jarande; Himanshu Kaushal; Pragya Yadav; Gajanan Sapkal; Priya Abraham.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20187252

RESUMO

ObjectivesConvalescent plasma (CP) as a passive source of neutralizing antibodies and immunomodulators is a century-old therapeutic option used for the management of viral diseases. We investigated its effectiveness for the treatment of COVID-19. DesignOpen-label, parallel-arm, phase II, multicentre, randomized controlled trial. SettingThirty-nine public and private hospitals across India. ParticipantsHospitalized, moderately ill confirmed COVID-19 patients (PaO2/FiO2: 200-300 or respiratory rate > 24/min and SpO2 [≤] 93% on room air). InterventionParticipants were randomized to either control (best standard of care (BSC)) or intervention (CP + BSC) arm. Two doses of 200 mL CP was transfused 24 hours apart in the intervention arm. Main Outcome MeasureComposite of progression to severe disease (PaO2/FiO2< 100) or all-cause mortality at 28 days post-enrolment. ResultsBetween 22nd April to 14th July 2020, 464 participants were enrolled; 235 and 229 in intervention and control arm, respectively. Composite primary outcome was achieved in 44 (18.7%) participants in the intervention arm and 41 (17.9%) in the control arm [aOR: 1.09; 95% CI: 0.67, 1.77]. Mortality was documented in 34 (13.6%) and 31 (14.6%) participants in intervention and control arm, respectively [aOR) 1.06 95% CI: -0.61 to 1.83]. InterpretationCP was not associated with reduction in mortality or progression to severe COVID-19. This trial has high generalizability and approximates real-life setting of CP therapy in settings with limited laboratory capacity. A priori measurement of neutralizing antibody titres in donors and participants may further clarify the role of CP in management of COVID-19. Trial registrationThe trial was registered with Clinical Trial Registry of India (CTRI); CTRI/2020/04/024775.

5.
Mol Cell Proteomics ; 9(9): 2005-18, 2010 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-20530634

RESUMO

The nucleus is a highly structured organelle and contains many functional compartments. Although the structural basis for this complex spatial organization of compartments is unknown, a major component of this organization is likely to be the non-chromatin scaffolding called nuclear matrix (NuMat). Experimental evidence over the past decades indicates that most of the nuclear functions are at least transiently associated with the NuMat, although the components of NuMat itself are poorly known. Here, we report NuMat proteome analysis from Drosophila melanogaster embryos and discuss its links with nuclear architecture and functions. In the NuMat proteome, we found structural proteins, chaperones, DNA/RNA-binding proteins, chromatin remodeling and transcription factors. This complexity of NuMat proteome is an indicator of its structural and functional significance. Comparison of the two-dimensional profile of NuMat proteome from different developmental stages of Drosophila embryos showed that less than half of the NuMat proteome is constant, and the rest of the proteins are stage-specific dynamic components. These NuMat dynamics suggest a possible functional link between NuMat and embryonic development. Finally, we also showed that a subset of NuMat proteins remains associated with the mitotic chromosomes, implicating their role in mitosis and possibly the epigenetic cellular memory. NuMat proteome analysis provides tools and opens up ways to understand nuclear organization and function.


Assuntos
Proteínas de Drosophila/metabolismo , Matriz Nuclear/metabolismo , Proteoma , Animais , Linhagem Celular , Cromatografia Líquida , Drosophila melanogaster , Eletroforese em Gel de Poliacrilamida , Espectrometria de Massas em Tandem
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