Cell insight最新文献

Transient receptor potential (TRP) polycystin-3 (TRPP3) is a non-selective cation channel activated by Ca²⁺ and protons and is involved in regulating ciliary Ca²⁺ concentration, hedgehog signaling and sour tasting. The TRPP3 channel function and regulation are still not well understood. Here we investigated regulation of TRPP3 by calmodulin (CaM) by means of electrophysiology and Xenopus oocytes as an expression model. We found that TRPP3 channel function is enhanced by calmidazolium, a CaM antagonist, and inhibited by CaM through binding of the CaM N-lobe to a TRPP3 C-terminal domain not overlapped with the EF-hand. We further revealed that the TRPP3/CaM interaction promotes phosphorylation of TRPP3 at threonine 591 by Ca²⁺/CaM-dependent protein kinase II, which mediates the inhibition of TRPP3 by CaM.

SRSF3 (SRp20) is the smallest member of the serine/arginine (SR)-rich protein family. We found the annotated human SRSF3 and mouse Srsf3 RefSeq sequences are much larger than the detected SRSF3/Srsf3 RNA size by Northern blot. Mapping of RNA-seq reads from various human and mouse cell lines to the annotated SRSF3/Srsf3 gene illustrated only a partial coverage of its terminal exon 7. By 5ʹ RACE and 3ʹ RACE, we determined that SRSF3 gene spanning over 8422 bases and Srsf3 gene spanning over 9423 bases. SRSF3/Srsf3 gene has seven exons with exon 7 bearing two alternative polyadenylation signals (PAS). Through alternative PAS selection and exon 4 exclusion/inclusion by alternative RNA splicing, SRSF3/Srsf3 gene expresses four RNA isoforms. The major SRSF3 mRNA isoform with exon 4 exclusion by using a favorable distal PAS to encode a full-length protein is 1411 nt long (not annotated 4228 nt) and the same major mouse Srsf3 mRNA isoform is only 1295 nt (not annotated 2585 nt). The difference from the redefined RNA size of SRSF3/Srsf3 to the corresponding RefSeq sequence is at the 3’ UTR region. Collectively, the redefined SRSF3/Srsf3 gene structure and expression will allow better understanding of SRSF3 functions and its regulations in health and diseases.

CRISPR-Cas12a based one-pot detection system has been used in nucleic acid detection and diagnosis. However, it is not sensitive enough to distinguish single nucleotide polymorphisms (SNP), which has greatly restricted its application. To overcome these limitations, we engineered a LbCas12a variant with enhanced sensitivity against SNP, named seCas12a (sensitive Cas12a). SeCas12a-based one-pot SNP detection system is a versatile platform that could use both canonical and non-canonical PAM, and was almost not limited by mutation types to distinguish SNPs located between position 1 to 17. The use of truncated crRNA further improved SNP specificity of seCas12a. Mechanistically, we found only when the cis-cleavage was at low level between 0.01min⁻¹ and 0.0006 min⁻¹, a good signal-to-noise ratio can be achieved in one-pot test. SeCas12a-based one-pot SNP detection system was applied to detect pharmacogenomic SNPs in human clinical samples. Of thirteen donors tested in two different SNPs, the seCas12a mediated one-pot system could faithfully detect the SNPs in 30 min with 100% accuracy.

Germinal center is a transient lymphoid tissue structure in which B cells undergo affinity maturation and differentiate into memory B cells and plasma cells. GC formation depends on B cell expression of BCL6, a master transcription regulator of the GC state. Bcl6 expression is under elaborate control by external signals. HES1 plays important roles in T-cell lineage commitment, although little is known about its potential roles in GC formation. Here we report that B-cell-specific HES1 deletion causes a significant increase in GC formation, leading to increased production of plasma cells. We further provide evidence that HES1 inhibits BCL6 expression in a bHLH domain-dependent manner. Our study suggests a new layer of regulation of GC initiation mediated by HES1 and, by inference, Notch signals in vivo.

The proteins and RNAs of viruses extensively interact with host proteins after infection. We collected and reanalyzed all available datasets of protein-protein and RNA-protein interactions related to SARS-CoV-2. We investigated the reproducibility of those interactions and made strict filters to identify highly confident interactions. We systematically analyzed the interaction network and identified preferred subcellular localizations of viral proteins, some of which such as ORF8 in ER and ORF7A/B in ER membrane were validated using dual fluorescence imaging. Moreover, we showed that viral proteins frequently interact with host machinery related to protein processing in ER and vesicle-associated processes. Integrating the protein- and RNA-interactomes, we found that SARS-CoV-2 RNA and its N protein closely interacted with stress granules including 40 core factors, of which we specifically validated G3BP1, IGF2BP1, and MOV10 using RIP and Co-IP assays. Combining CRISPR screening results, we further identified 86 antiviral and 62 proviral factors and associated drugs. Using network diffusion, we found additional 44 interacting proteins including two proviral factors previously validated. Furthermore, we showed that this atlas could be applied to identify the complications associated with COVID-19. All data are available in the AIMaP database (https://mvip.whu.edu.cn/aimap/) for users to easily explore the interaction map.

Glucose metabolism is indispensable for cell growth and survival. Hexokinases play pivotal roles in glucose metabolism through canonical functions of hexokinases as well as in immune response, cell stemness, autophagy, and other cellular activities through noncanonical functions. The aberrant regulation of hexokinases contributes to the development and progression of pathologies, including cancer and immune diseases.

Evidence shows that some class I human leucocyte antigen (HLA) alleles are related to durable HIV controls. The T18A TCR, which has the alloreactivity between HLA-B∗42:01 and HLA-B∗81:01 and the cross-reactivity with different antigen mutants, can sustain long-term HIV controls. Here the structural basis of the T18A TCR binding to the immunodominant HIV epitope TL9 (TPQDLNTML180-188) presented by HLA-B∗42:01 was determined and compared to T18A TCR binding to the TL9 presented by the allo-HLA-B∗81:01. For differences between HLA-B∗42:01 and HLA-B∗81:01, the CDR1α and CDR3α loops adopt a small rearrangement to accommodate them. For different conformations of the TL9 presented by different HLA alleles, not like the conventional recognition of CDR3s to interact with peptide antigens, CDR3β of the T18A TCR shifts to avoid the peptide antigen but intensively recognizes the HLA only, which is different with other conventional TCR structures. Featured sequence pairs of CDR3β and HLA might account for this and were additionally found in multiple other diseases indicating the popularity of the unconventional recognition pattern which would give insights into the control of diseases with epitope mutating such as HIV.

RNA N6-methyladenosine (m⁶A) has been identified as the most common, abundant and conserved internal modification in RNA transcripts, especially within eukaryotic messenger RNAs (mRNAs). Accumulating evidence demonstrates that RNA m⁶A modification exploits a wide range of regulatory mechanisms to control gene expression in pathophysiological processes including cancer. Metabolic reprogramming has been widely recognized as a hallmark of cancer. Cancer cells obtain metabolic adaptation through a variety of endogenous and exogenous signaling pathways to promote cell growth and survival in the microenvironment with limited nutrient supply. Recent emerging evidence reveals reciprocal regulation between the m⁶A modification and disordered metabolic events in cancer cells, adding more complexity in the cellular network of metabolic rewiring. In this review, we summarize the most recent advances of how RNA methylation affects tumor metabolism and the feedback regulation of m⁶A modification by metabolic intermediates. We aim to highlight the important connection between RNA m⁶A modification and cancer metabolism, and expect that studise of RNA m⁶A and metabolic reprogramming will lead to greater understanding of cancer pathology.