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Connection

Mohammad Rahman to Humans

This is a "connection" page, showing publications Mohammad Rahman has written about Humans.

 
Connection Strength
 
 
 
0.236
 
  1. Islam MR, Nagar P, Neetole ST, Wan L, Rahman MA. RNA Splicing in Cancer and Targeted Therapies. Genes (Basel). 2023 10 29; 14(11).
    View in: PubMed
    Score: 0.038
  2. Nagar P, Islam MR, Rahman MA. Nonsense-Mediated mRNA Decay as a Mediator of Tumorigenesis. Genes (Basel). 2023 01 30; 14(2).
    View in: PubMed
    Score: 0.036
  3. Rahman MA, Lin KT, Bradley RK, Abdel-Wahab O, Krainer AR. Recurrent SRSF2 mutations in MDS affect both splicing and NMD. Genes Dev. 2020 03 01; 34(5-6):413-427.
    View in: PubMed
    Score: 0.029
  4. Rahman MA, Krainer AR, Abdel-Wahab O. SnapShot: Splicing Alterations in Cancer. Cell. 2020 01 09; 180(1):208-208.e1.
    View in: PubMed
    Score: 0.029
  5. Rahman MA, Azuma Y, Nasrin F, Takeda J, Nazim M, Bin Ahsan K, Masuda A, Engel AG, Ohno K. SRSF1 and hnRNP H antagonistically regulate splicing of COLQ exon 16 in a congenital myasthenic syndrome. Sci Rep. 2015 Aug 18; 5:13208.
    View in: PubMed
    Score: 0.022
  6. Rahman MA, Masuda A, Ohe K, Ito M, Hutchinson DO, Mayeda A, Engel AG, Ohno K. HnRNP L and hnRNP LL antagonistically modulate PTB-mediated splicing suppression of CHRNA1 pre-mRNA. Sci Rep. 2013 Oct 14; 3:2931.
    View in: PubMed
    Score: 0.019
  7. Wan L, Lin KT, Rahman MA, Ishigami Y, Wang Z, Jensen MA, Wilkinson JE, Park Y, Tuveson DA, Krainer AR. Splicing Factor SRSF1 Promotes Pancreatitis and KRASG12D-Mediated Pancreatic Cancer. Cancer Discov. 2023 07 07; 13(7):1678-1695.
    View in: PubMed
    Score: 0.009
  8. Gao Y, Lin KT, Jiang T, Yang Y, Rahman MA, Gong S, Bai J, Wang L, Sun J, Sheng L, Krainer AR, Hua Y. Systematic characterization of short intronic splicing-regulatory elements in SMN2 pre-mRNA. Nucleic Acids Res. 2022 01 25; 50(2):731-749.
    View in: PubMed
    Score: 0.008
  9. Yoshimi A, Lin KT, Wiseman DH, Rahman MA, Pastore A, Wang B, Lee SC, Micol JB, Zhang XJ, de Botton S, Penard-Lacronique V, Stein EM, Cho H, Miles RE, Inoue D, Albrecht TR, Somervaille TCP, Batta K, Amaral F, Simeoni F, Wilks DP, Cargo C, Intlekofer AM, Levine RL, Dvinge H, Bradley RK, Wagner EJ, Krainer AR, Abdel-Wahab O. Coordinated alterations in RNA splicing and epigenetic regulation drive leukaemogenesis. Nature. 2019 10; 574(7777):273-277.
    View in: PubMed
    Score: 0.007
  10. Feng H, Bao S, Rahman MA, Weyn-Vanhentenryck SM, Khan A, Wong J, Shah A, Flynn ED, Krainer AR, Zhang C. Modeling RNA-Binding Protein Specificity In?Vivo by Precisely Registering Protein-RNA Crosslink Sites. Mol Cell. 2019 06 20; 74(6):1189-1204.e6.
    View in: PubMed
    Score: 0.007
  11. Aznarez I, Nomakuchi TT, Tetenbaum-Novatt J, Rahman MA, Fregoso O, Rees H, Krainer AR. Mechanism of Nonsense-Mediated mRNA Decay Stimulation by Splicing Factor SRSF1. Cell Rep. 2018 05 15; 23(7):2186-2198.
    View in: PubMed
    Score: 0.007
  12. Ahsan KB, Masuda A, Rahman MA, Takeda JI, Nazim M, Ohkawara B, Ito M, Ohno K. SRSF1 suppresses selection of intron-distal 5' splice site of DOK7 intron 4 to generate functional full-length Dok-7 protein. Sci Rep. 2017 09 05; 7(1):10446.
    View in: PubMed
    Score: 0.006
  13. Nazim M, Masuda A, Rahman MA, Nasrin F, Takeda JI, Ohe K, Ohkawara B, Ito M, Ohno K. Competitive regulation of alternative splicing and alternative polyadenylation by hnRNP H and CstF64 determines acetylcholinesterase isoforms. Nucleic Acids Res. 2017 02 17; 45(3):1455-1468.
    View in: PubMed
    Score: 0.006
  14. Shibata A, Okuno T, Rahman MA, Azuma Y, Takeda J, Masuda A, Selcen D, Engel AG, Ohno K. IntSplice: prediction of the splicing consequences of intronic single-nucleotide variations in the human genome. J Hum Genet. 2016 Jul; 61(7):633-40.
    View in: PubMed
    Score: 0.006
  15. Nasrin F, Rahman MA, Masuda A, Ohe K, Takeda J, Ohno K. HnRNP C, YB-1 and hnRNP L coordinately enhance skipping of human MUSK exon 10 to generate a Wnt-insensitive MuSK isoform. Sci Rep. 2014 Oct 30; 4:6841.
    View in: PubMed
    Score: 0.005
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.