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Biology subjects

Deng, H.

Publications and source records attributed to Deng, H..

3 recordsLinked to original sources

In vivo Chemical Reprogramming of Astrocytes into Functional Neurons

Mammals lack robust regenerative abilities. Lost cells in impaired tissue could potentially be compensated by converting nearby cells in situ through in vivo reprogramming. Small molecule-induced reprogramming is a spatiotemporally flexible and non-integrative strategy for altering cell fate, which is, in principle, favorable for the in vivo reprogramming in organs with poor regenerative abilities, such as the brain. Here, we demonstrate that in the adult mouse brain, small molecules can reprogram resident astrocytes into functional neurons. The in situ chemically induced neurons (CiNs) resemble endogenous neurons in terms of neuron-specific marker expression and electrophysiological properties. Importantly, these CiNs can integrate into the mouse brain. Our study, for the first time, demonstrates in vivo chemical reprogramming in the adult brain, which could be a novel path for generating desired cells in situ for regenerative medicine.

cell biology

A group of nuclear factor Y transcription factors are likely sub-functionalized in the endosperm development of rice and other monocots

Nuclear factor Y (NF-Y) is a heterotrimeric transcription factor that consists of three subunits, NF-YA, NF-YB, and NF-YC. Although NF-Ys play multiple roles in plant development, their functions during endosperm development are not well understood. In this study, we identified eight NF-Y encoding genes, including OsNF-YA8, OsNF-YB1,9, and OsNF-YC8,9,10,11,12, which predominantly express in the rice endosperm. Interestingly, the closest homologs of these OsNF-Ys are present only in the monocot species. All the genes are preferentially expressed in the endosperm, suggesting their roles in the regulation of endosperm development. A systemic analysis of the interactions between rice endosperm-preferential NF-Ys in yeast revealed that NF-YBs and NF-YCs could interact with each other. OsNF-YA8 is a recently evolved NF-YA in rice. Generally, NF-YA does not interact with NF-YB monomers in plants; however, in the present study, we found that OsNY-YA8 interacts with OsNF-YB9. Our results also indicated that the endosperm-preferential OsNF-YBs and OsNF-YCs could interact with some ethylene response factors (ERFs) of rice. Unlike the OsNF-YC8,9,10, the members of OsNF-YB1, 9 or OsNF-YC 11 and 12 showed lack of transcriptional activation when present alone. However, they displayed functional activity while in dimer form. In addition, OsNF-YB1 knockout lines showed significant changes in the seed morphology, further confirms its role in endosperm development. Our findings have provided strong evidences that the group of phylogenetically conserved NF-Ys are differentiated in monocots to regulate the endosperm development.

plant biology

De Novo Annotation And Characterization Of The Translatome With Ribosome Profiling Data

By capturing and sequencing the RNA fragments protected by translating ribosomes, ribosome profiling sketches the landscape of translation at subcodon resolution. We developed a new method, RiboCode, which uses ribosome profiling data to assess the translation of each RNA transcript genome-wide. As shown by multiple tests with simulated data and cell type-specific QTI-seq and mass spectrometry data, RiboCode exhibits superior efficiency, sensitivity, and accuracy for de novo annotation of the translatome, which covers various types of novel ORFs in the previously annotated coding and non-coding regions and overlapping ORFs. Finally, to showcase its application, we applied RiboCode on a published ribosome profiling dataset and assembled the context-dependent translatomes of yeast under normal condition, heat shock, and oxidative stress. Comparisons among these translatomes revealed stress-activated novel upstream and downstream ORFs, some of which are associated with potential translational dysregulations of the main protein coding ORFs in response to the stress signals.

bioinformatics