Progenitor-like CD8 + T cells mediate long-term immunity to chronic infection and cancer and respond potently to immune checkpoint blockade. These cells share transcriptional regulators with memory precursor cells, including TCF1, but it is unclear whether they adopt distinct programs to adapt to the immunosuppressive environment. By comparing single-cell transcriptomes and epigenetic profiles of CD8 + T cells responding to acute and chronic viral infections, we found that progenitor-like CD8 + T cells became distinct from memory precursors before the peak of the T-cell response. We discovered a co-expression gene module containing Tox that exhibited higher transcriptional activity associated with more abundant active histone marks in progenitor-like cells than memory precursors. Moreover, TOX promoted persistence of antiviral CD8 + T cells and was required for the programming of progenitor-like CD8 + T cells. Thus, long-term CD8 + T-cell immunity to chronic viral infection requires unique transcriptional and epigenetic programs associated with the transcription factor TOX.

Key Points A platform for the generation of clinical-grade CD19-CAR–modified TSCM. CD19-CAR–modified TSCM mediate superior antitumor responses compared with CD19-CAR T cells currently used in clinical trials.

Background: The Th17 subset and IL-17 have been found in increased frequencies within certain tumors. However, their relevance in cancer biology remains controversial. This study aimed to clarify the biological action of IL-17 on hepatocellular carcinoma (HCC).

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Lymphodepleting regimens are used before adoptive immunotherapy to augment the antitumor efficacy of transferred T cells by removing endogenous homeostatic "cytokine sinks." These conditioning modalities, however, are often associated with severe toxicities. We found that microRNA-155 (miR-155) enabled tumorspecific CD8 + T cells to mediate profound antitumor responses in lymphoreplete hosts that were not potentiated by immune-ablation. miR-155 enhanced T-cell responsiveness to limited amounts of homeostatic γc cytokines, resulting in delayed cellular contraction and sustained cytokine production. miR-155 restrained the expression of the inositol 5-phosphatase Ship1, an inhibitor of the serinethreonine protein kinase Akt, and multiple negative regulators of signal transducer and activator of transcription 5 (Stat5), including suppressor of cytokine signaling 1 (Socs1) and the protein tyrosine phosphatase Ptpn2. Expression of constitutively active Stat5a recapitulated the survival advantages conferred by miR-155, whereas constitutive Akt activation promoted sustained effector functions. Our results indicate that overexpression of miR-155 in tumorspecific T cells can be used to increase the effectiveness of adoptive immunotherapies in a cell-intrinsic manner without the need for life-threatening, lymphodepleting maneuvers.

Stem cells are maintained by transcriptional programs that promote self-renewal and repress differentiation. Here we found that the transcription factor c-Myb was essential for generating and maintaining stem cells within the CD8 + T cell memory compartment. Following viral infection, CD8 + T cells lacking Myb underwent terminal differentiation and generated fewer stem cell–like central memory cells than Myb -sufficient T cells. c-Myb acted both as a transcriptional activator of Tcf7 (which encodes the transcription factor Tcf1) to enhance memory development and as a repressor of Zeb2 (which encodes the transcription factor Zeb2) to hinder effector differentiation. Domain-mutagenesis experiments revealed that the transactivation domain of c-Myb was necessary for restraining differentiation, whereas its negative regulatory domain was critical for cell survival. Myb overexpression enhanced CD8 + T cell memory formation, polyfunctionality and recall responses that promoted curative antitumor immunity upon adoptive transfer. These findings identify c-Myb as a pivotal regulator of CD8 + T cell stemness and highlight its therapeutic potential.

Twenty-nine novel indole-chalcone derivatives were synthesized and evaluated for antiproliferative activity. Among them, 14k exhibited most potent activity, with IC50 values of 3-9 nM against six cancer cells, which displayed a 3.8-8.7-fold increase in activity when compare with compound 2. Further investigation revealed 14k was a novel tubulin polymerization inhibitor binding to the colchicine site. Its low cytotoxicity toward normal human cells and nearly equally potent activity against drug-resistant cells revealed the possibility for cancer therapy. Cellular mechanism studies elucidated 14k arrests cell cycle at G2/M phase and induces apoptosis along with the decrease of mitochondrial membrane potential. Furthermore, good metabolic stability of 14k was observed in mouse liver microsomes. Importantly, 14k and its phosphate salt 14k-P inhibited tumor growth in xenograft models in vivo without apparent toxicity, which was better than the reference compound CA-4P and 2. In summary, 14k deserves consideration for cancer therapy.

Human‐machine interfaces (HMIs) play important role in the communication between humans and robots. Touchless HMIs with high hand dexterity and hygiene hold great promise in medical applications, especially during the pandemic of coronavirus disease 2019 (COVID‐19) to reduce the spread of virus. However, current touchless HMIs are mainly restricted by limited types of gesture recognition, the requirement of wearing accessories, complex sensing platforms, light conditions, and low recognition accuracy, obstructing their practical applications. Here, an intelligent noncontact gesture‐recognition system is presented through the integration of a triboelectric touchless sensor (TTS) and deep learning technology. Combined with a deep‐learning‐based multilayer perceptron neural network, the TTS can recognize 16 different types of gestures with a high average accuracy of 96.5%. The intelligent noncontact gesture‐recognition system is further applied to control a robot for collecting throat swabs in a noncontact mode. Compared with present touchless HMIs, the proposed system can recognize diverse complex gestures by utilizing charges naturally carried on human fingers without the need of wearing accessories, complicated device structures, adequate light conditions, and achieves high recognition accuracy. This system could provide exciting opportunities to develop a new generation of touchless medical equipment, as well as touchless public facilities, smart robots, virtual reality, metaverse, etc.